This is the markdown version of the PyAutoMind Dashboard, which puts a task's command on your clipboard with a single tap of 📋.
Every task the Mind is holding, on one page: what is in flight, what is parked, and the whole backlog to pick from. Pick a task and run its /start_dev command in a Claude Code chat to start it. Recent is the same work by date — what has been happening rather than what to do next.
| Where | Count |
|---|---|
In flight (active/) |
1 |
Parked (parked.md) |
3 |
Planned (planned.md) |
6 |
Backlog (draft/) |
153 |
Highest priority (filed as high) — showing 12 of 17
📋 TRIAGE: needs manual review before routing — medium · safe · high
/start_dev draft/triage/jax_zero_contour.md
📋 Numba CPU likelihood phase 1: batched MGE convolution + operated-matrix — autoarray · medium · supervised · high
/start_dev draft/feature/autoarray/numba_cpu_likelihood_mge_convolution_and_caching.md
📋 Rectangular mesh split: Bilinear (fast CPU default) vs RTU (advanced/GPU) — autoarray · medium · supervised · high
/start_dev draft/feature/autoarray/rectangular_bilinear_rtu_mesh_split.md
📋 Numba CPU likelihood phase 2: kernel-CDF numba fast path (the — autoarray · large · supervised · high
/start_dev draft/feature/autoarray/numba_cpu_likelihood_kernel_cdf_fast_path.md
📋 multi_galaxy package: new regime package in autolens_workspace — autolens · large · supervised · high
/start_dev draft/docs/autolens/multi_galaxy_package.md
📋 Profile and speed up JAX likelihood-function compile times (all use — autolens_profiling · large · supervised · high
/start_dev draft/feature/autolens_profiling/jax_compile_time_profiling.md
📋 Give the Profiling Agent a compile-time axis — the arc — profiling · large · supervised · high
/start_dev draft/feature/profiling/profiling_agent_jax_compile_time_scope.md
📋 Deep research: Can we speed up Delaunay in PyAutoArray? — autoarray · too-large · supervised · high
/start_dev draft/research/autoarray/delaunay_research.md
📋 Census of priors and messages — confirmed bugs + redesign — autofit · too-large · supervised · high
/start_dev draft/research/autofit/priors_and_messages_math_audit.md
📋 einstein_radius_jit_from: replace static init_guess with a JAX-native seed finder — autogalaxy · too-large · supervised · high
/start_dev draft/refactor/autogalaxy/einstein_radius_jit_native_seed_finder.md
📋 Split lensing regimes: multi_galaxy / group / cluster (epic plan) — autolens · too-large · supervised · high
/start_dev draft/docs/autolens/split_lensing_regimes.md
📋 Re-baseline the MGE imaging JIT profiling regression value — autolens_workspace_developer · too-large · supervised · high
/start_dev draft/test/autolens_workspace_developer/mge_jit_regression_rebaseline.md
Quick wins (small enough, and safe enough to run unattended)
📋 Defer the eager scipy.sparse import in derivative_util (~0.10 s of — libraries · small · safe · normal
/start_dev draft/maintenance/libraries/defer_scipy_sparse_import.md
📋 Bug: fix the tracer.fits existence guard in autolens_workspace imaging modeling.py — workspaces · small · safe · normal
/start_dev draft/bug/workspaces/bug_fix_the_tracer_fits_existence_guard.md
Issued — each has an open GitHub issue and usually a branch. The full record for each is in active.md.
📋 @PyAutoFit TransformedMessage.factor_gradient crashes on first call — issue #1501 — issued 2026-08-19 — HOLD — do not start dev. Fix-or-delete hangs off the PyAutoFit#1498 logpdf-contract
/start_dev active/16_transformed_message_factor_gradient_unpack.md
Started or scoped, not currently in flight — resume by moving the row back to active.md. Full detail in parked.md.
3 task(s)
📋 single-source-density-design — issue #1500 — parked 2026-08-18
/start_dev active/12_single_source_density_refactor.md
📋 prior-message-collapse-design — issue #1500 — parked 2026-08-18
/start_dev active/13_collapse_prior_and_message.md
📋 pyautoreduce-slacs1430-acs-comparison — parked 2026-08-08
/start_dev active/pyautoreduce_slacs1430_acs_comparison.md
Scoped but not started; some are not yet prompt files. Full detail in planned.md.
6 task(s)
📋 isothermal-ell-sph-oversampling-at-the-cusp — found 2026-08-09 — planned — NOT yet a prompt file; file one via /intake before starting
/route start the planned PyAutoMind task isothermal-ell-sph-oversampling-at-the-cusp — its record is in planned.md
📋 remote-mcp-deployment-tiers — issue #20 — filed 2026-07-21 — DESIGN-COMPLETE, build BLOCKED-ON-DEMAND — issue #20 holds the full auth/transport/hosting design + Richard/PyAutoMCP…
/start_dev draft/feature/autofit_assistant/remote_mcp_deployment_tiers.md
📋 samples-parameter-paths — issue #1327 — filed 2026-07-08 — parked
/start_dev draft/bug/health_fixes/samples_parameter_paths.md
📋 jax-point-source-point-smoke-sentinel — filed 2026-05-21 — planned
/start_dev draft/bug/autolens/jax_point_source_point_smoke_sentinel.md
📋 piemass-potential — filed 2026-06-05 — planned
/start_dev draft/feature/autogalaxy/piemass_potential.md
📋 latent-nan-guard-honest-run — planned 2026-07-22
/route start the planned PyAutoMind task latent-nan-guard-honest-run — its record is in planned.md
153 filed prompts, not started. Each section is sorted most-pickable first (priority, then size). 23 of them belong to an epic and are listed only under Epics below.
feature — 29
📋 Numba CPU likelihood phase 1: batched MGE convolution + operated-matrix — autoarray · medium · supervised · high
/start_dev draft/feature/autoarray/numba_cpu_likelihood_mge_convolution_and_caching.md
📋 Rectangular mesh split: Bilinear (fast CPU default) vs RTU (advanced/GPU) — autoarray · medium · supervised · high
/start_dev draft/feature/autoarray/rectangular_bilinear_rtu_mesh_split.md
📋 Numba CPU likelihood phase 2: kernel-CDF numba fast path (the — autoarray · large · supervised · high
/start_dev draft/feature/autoarray/numba_cpu_likelihood_kernel_cdf_fast_path.md
📋 Profile and speed up JAX likelihood-function compile times (all use — autolens_profiling · large · supervised · high
/start_dev draft/feature/autolens_profiling/jax_compile_time_profiling.md
📋 Give the Profiling Agent a compile-time axis — the arc — profiling · large · supervised · high
/start_dev draft/feature/profiling/profiling_agent_jax_compile_time_scope.md
📋 Which other searches need prior-support handling — coverage audit after — autofit · medium · supervised · medium
/start_dev draft/feature/autofit/prior_exit_sampler_coverage.md
📋 Give PyAutoFit searches a seed — today no search can — autofit · medium · supervised · medium
/start_dev draft/feature/autofit/search_seed_reproducibility.md
📋 Brain board follow-ups: what real mornings surface — pyautobrain · small · supervised · normal
/start_dev draft/feature/pyautobrain/brain_board_follow_ups.md
📋 Can create a list of InversionMatrix objects for each dataset — autoarray · medium · supervised · normal
/start_dev draft/feature/autoarray/multiwavelength_inversion.md
📋 Tune cluster-scale JOSS benchmarks toward their 5-minute targets — autolens_workspace · medium · supervised · normal
/start_dev draft/feature/autolens_workspace/joss_cluster_benchmark_tuning.md
📋 Token-light wiki index over the complete/ archive — pyautomind · medium · supervised · normal
/start_dev draft/feature/pyautomind/complete_archive_wiki.md
📋 The imaging features/advanced/los_halos example needs improving and padding out before — workspaces · medium · safe · normal
/start_dev draft/feature/workspaces/group_los_halos.md
📋 The imaging features/advanced/subhalo/sensitivity example needs improving and padding out before — workspaces · medium · safe · normal
/start_dev draft/feature/workspaces/group_subhalo_sensitivity.md
📋 Claude Development Prompt: Arcsecond Tick Label Decimal Placement — autoarray · large · supervised · normal
/start_dev draft/feature/autoarray/arcsecond_to_decimal.md
📋 EP analytic updates — implement the four planned work packages — autofit · large · supervised · normal
/start_dev draft/feature/autofit/ep_analytic_updates.md
📋 Remote-MCP deployment tiers (2 + 3) for the results-inspector server — autofit_assistant · large · human-required · normal
/start_dev draft/feature/autofit_assistant/remote_mcp_deployment_tiers.md
📋 Search settings-estimation + profiling infrastructure (n_starts / batch_size / n_batch) — autolens_profiling · large · supervised · normal
/start_dev draft/feature/autolens_profiling/search_settings_estimation_infrastructure.md
📋 Adopt oversampled PSFs in the start-here dataset chain (option a) — autolens_workspace · large · supervised · normal
/start_dev draft/feature/autolens_workspace/oversampled_psf_dataset_adoption.md
📋 Follow-up to rectangular_adapt_cdf.md (issue #322) and Path A — autoarray · too-large · supervised · normal
/start_dev draft/feature/autoarray/rectangular_multi_submesh.md
📋 PIEMass.potential_2d_from: implement the missing lensing potential — autogalaxy · too-large · supervised · normal
/start_dev draft/feature/autogalaxy/piemass_potential.md
📋 autolens_jax_joss benchmark repo + real-data start_here pairing — autolens_jax_joss · too-large · supervised · normal
/start_dev draft/feature/autolens_jax_joss/autolens_jax_joss_benchmark_repo.md
📋 Context: PyAutoLens issue #542 follow-up (Gap 1, deferred during the — jax_substructure · too-large · supervised · normal
/start_dev draft/feature/jax_substructure/5_prng_key_vmap_noise.md
📋 Context: PyAutoLens issue #542 follow-up (Gap 2, deferred during the — jax_substructure · too-large · supervised · normal
/start_dev draft/feature/jax_substructure/6_deflection_equivalence_test.md
📋 Once https://github.com/PyAutoLabs/PyAutoLens/issues/480 is fixed (PointSolver — workspaces · too-large · supervised · normal
/start_dev draft/feature/workspaces/restore_multiple_sources_lensing_of_lens.md
📋 dPIE: optional central-dispersion (sigma_0) parameterization — autogalaxy · small · supervised · low
/start_dev draft/feature/autogalaxy/dpie_sigma0_parameterization.md
📋 Release board: local run_logs enrichment — pyautohands · small · supervised · low
/start_dev draft/feature/pyautohands/release_board_run_logs_enrichment.md
📋 Gallery runner: add visualization_upper + decide the modeling_visualization_jit tier — workspaces · small · supervised · low
/start_dev draft/feature/workspaces/gallery_runner_missing_tiers.md
📋 Scheduled runs — overnight queue passes with a morning report — autonomy · medium · supervised · low
/start_dev draft/feature/autonomy/10_scheduled_runs.md
📋 Teach repos_sync --write to stamp organ config surfaces — pyautomind · hard · supervised · low
/start_dev draft/feature/pyautomind/repos-sync-config-stamper.md
bug — 34
📋 Fix release JAX runtime compatibility and likelihood parity — health_fixes · too-large · supervised · high
/start_dev draft/bug/health_fixes/jax_runtime_and_parity.md
📋 Fix JIT quick-update visualization output regressions — health_fixes · too-large · supervised · high
/start_dev draft/bug/health_fixes/jit_visualization_outputs.md
📋 Fix release result/sample parameter-path regressions — health_fixes · too-large · supervised · high
/start_dev draft/bug/health_fixes/samples_parameter_paths.md
📋 pixel_scales given as an int (or np.float64) is never widened — autoarray · small · supervised · medium
/start_dev draft/bug/autoarray/pixel_scales_int_not_widened_to_tuple.md
📋 jax 0.11 breaks beta/gamma message log_partition under jit ('tuple' object — autofit · small · supervised · medium
/start_dev draft/bug/autofit/jax_011_message_log_partition_tuple_shape.md
📋 Heart script_timing baselines are orphaned by path moves and filled — pyautoheart · small · supervised · medium
/start_dev draft/bug/pyautoheart/script_timing_baselines_orphaned_and_window_filled.md
📋 Numba PSF gathers derive the y/x kernel shifts from the — autoarray · low · supervised · medium
/start_dev draft/bug/autoarray/numba_kernel_shift_axes_swapped.md
📋 PyNUFFT dev extra is incompatible with current SciPy on Python — autoarray · small · supervised · normal
/start_dev draft/bug/autoarray/pynufft_scipy_pinv2_dev_extra.md
📋 LogGaussianPrior misreports its own support as (-inf, inf) — autofit · small · supervised · normal
/start_dev draft/bug/autofit/loggaussian_prior_declares_own_support.md
📋 autofit.plot functions accept **kwargs and silently discard them — autofit · small · supervised · normal
/start_dev draft/bug/autofit/plot_functions_discard_kwargs.md
📋 TEST_MODE bypass crashes on ordered-parameter assertion ties — autofit · small · supervised · normal
/start_dev draft/bug/autofit/test_mode_bypass_ordered_assertion_ties.md
📋 point.py JAX-vmap parity assert is non-deterministic under the smoke env — autolens · small · supervised · normal
/start_dev draft/bug/autolens/point_jax_vmap_parity_nondeterministic.md
📋 Scripts derive geometry from a hardcoded pixel_scale while the dataset — autolens_workspace · small · supervised · normal
/start_dev draft/bug/autolens_workspace/script_local_pixel_scale_vs_dataset_pixel_scales.md
📋 HowToGalaxy small API drifts: ellipse kwargs + plot_grid_lines (parked NEEDS_FIX) — howtogalaxy · small · supervised · normal
/start_dev draft/bug/howtogalaxy/small_api_drift_ellipse_and_plot_grid_lines.md
📋 PyAutoConf rename leftovers in Brain functional surfaces — pyautobrain · small · supervised · normal
/start_dev draft/bug/pyautobrain/pyautoconf_rename_functional_leftovers.md
📋 generate.py deletes notebooks/ before rejecting an unknown project — pyautohands · small · supervised · normal
/start_dev draft/bug/pyautohands/generate_rejects_autocti_after_deleting_notebooks.md
📋 autoreduce 0.9 on PyPI never got the Python 3.12 floor — pyautoreduce · small · supervised · normal
/start_dev draft/bug/pyautoreduce/published_autoreduce_09_missing_312_floor.md
📋 aplt.Output stale-API drift in the remaining workspace repos — workspaces · small · supervised · normal
/start_dev draft/bug/workspaces/aplt_output_drift_remaining_repos.md
📋 Bug: fix the tracer.fits existence guard in autolens_workspace imaging modeling.py — workspaces · small · safe · normal
/start_dev draft/bug/workspaces/bug_fix_the_tracer_fits_existence_guard.md
📋 Three jax_likelihood pins are stale by ~1.24e-4 and fail the — workspaces · small · supervised · normal
/start_dev draft/bug/workspaces/jax_likelihood_pins_stale_by_1e4.md
📋 PROBE: is Adapt's 4th-power coefficient dependence (double square) intentional? — autoarray · medium · supervised · normal
/start_dev draft/bug/autoarray/PROBE_adapt_double_square_coefficient.md
📋 interferometer Delaunay pixelization — non-PD FitException in test-mode bypass — autolens · medium · supervised · normal
/start_dev draft/bug/autolens/interferometer_delaunay_nonpd_fitexception.md
📋 JAX point-source smoke sentinel: point.py returns -1e99 instead of -83.38 — autolens · medium · supervised · normal
/start_dev draft/bug/autolens/jax_point_source_point_smoke_sentinel.md
📋 JIT cache not hit in modeling_visualization delaunay/rectangular scripts — autolens · medium · supervised · normal
/start_dev draft/bug/autolens/jit_cache_not_hit_modeling_visualization.md
📋 multi_dataset/jax_likelihood scripts hang to the timeout cap (XLA compile stall) — autolens_workspace_test · medium · supervised · normal
/start_dev draft/bug/autolens_workspace_test/multi_dataset_jax_likelihood_xla_stall.md
📋 @PyAutoFit TransformedMessage.logpdf/pdf omit the transform Jacobian — priors · medium · supervised · normal
/start_dev draft/bug/priors/15_transformed_message_logpdf_jacobian.md
📋 Resolve release-profile timeout scripts deliberately — health_fixes · too-large · supervised · normal
/start_dev draft/bug/health_fixes/release_timeout_policy.md
📋 @PyAutoFit Refactor: replace hand-rolled AbstractDensityTransform with tfp.bijectors / numpyro.distributions.transforms — priors · too-large · supervised · normal
/start_dev draft/bug/priors/14_replace_transform_stack_with_bijectors.md
📋 Priors & Messages cleanup — tracker — priors · too-large · supervised · normal
/start_dev draft/bug/priors/z_features.md
📋 autolens_workspace_test jax_likelihood pins: 4 scripts fail smoke on main — autolens · low · supervised · normal
/start_dev draft/bug/autolens/jax_likelihood_smoke_pins_stale.md
📋 status.sh --repos sources a file that no longer exists — pyautomind · small · supervised · low
/start_dev draft/bug/pyautomind/status_sh_repos_missing_source.md
📋 The reconstruction noise map describes a different estimator than the — autoarray · medium · human-required · low
/start_dev draft/bug/autoarray/reconstruction_noise_map_solver_mismatch.md
📋 Point-source JSON datasets record no resolution regime — pyautolens · medium · supervised · low
/start_dev draft/bug/pyautolens/point_source_json_datasets_record_no_regime.md
📋 interferometer/start_here.py OOM in nightly release-validation integrate leg — autolens
/start_dev draft/bug/autolens/interferometer_release_leg_oom.md
research — 17
📋 Deep research: Can we speed up Delaunay in PyAutoArray? — autoarray · too-large · supervised · high
/start_dev draft/research/autoarray/delaunay_research.md
📋 Census of priors and messages — confirmed bugs + redesign — autofit · too-large · supervised · high
/start_dev draft/research/autofit/priors_and_messages_math_audit.md
📋 Delaunay-family JAX modules never hit the persistent compilation cache — autoarray · medium · supervised · medium
/start_dev draft/research/autoarray/delaunay_callback_persistent_cache_miss.md
📋 Quick-update plotting cost — minutes per update, and it is — autolens · medium · supervised · medium
/start_dev draft/research/autolens/quick_update_plotting_cost.md
📋 Use readthedocs or migrate to GitHub docs — autobuild · small · supervised · normal
/start_dev draft/research/autobuild/git_docs.md
📋 Explore: dashboardify the Brain's operational surfaces with pasteable conductor prompts — pyautobrain · small · supervised · normal
/start_dev draft/research/pyautobrain/explore_dashboardify_the_brain_s_operational_sur.md
📋 Re-baseline the slacs0008 acceptance parity after the HAP-dedupe fix — pyautoreduce · small · supervised · normal
/start_dev draft/research/pyautoreduce/acceptance_noise_rebaseline.md
📋 Kernel-CDF bandwidth defaults — config-dependent quality, investigate adaptivity — autoarray · medium · supervised · normal
/start_dev draft/research/autoarray/rectangular_kernel_bandwidth_defaults.md
📋 We have lots of examples which profile how long JAX — autolens_workspace_developer · medium · supervised · normal
/start_dev draft/research/autolens_workspace_developer/jax_jit_profiling.md
📋 Is Intel macOS a supported platform, and what is the — libraries · medium · supervised · normal
/start_dev draft/research/libraries/intel_macos_support_policy.md
📋 Checkerboard PSF-mismatch residual diagnostic — research + document + ingest — pyautomemory · medium · supervised · normal
/start_dev draft/research/pyautomemory/checkerboard_psf_mismatch_residual_diagnostic.md
📋 autofit_profiling: bootstrap the repo + general PyAutoFit profiling epic — autofit · large · supervised · normal
/start_dev draft/research/autofit/autofit_profiling_bootstrap.md
📋 Multi-band compile census completion — A100/multi-core + hetero GPU rows — autolens_profiling · small · supervised · low
/start_dev draft/research/autolens_profiling/multiband_compile_census_completion.md
📋 Chase the ~6% flux scale between PyAutoReduce and legacy SLACS — pyautoreduce · medium · supervised · low
/start_dev draft/research/pyautoreduce/legacy_flux_scale_parity.md
📋 PyAutoArray Delaunay interpolator's pure_callback vs vmap — minor efficiency follow-up — autoarray · too-large · supervised · low
/start_dev draft/research/autoarray/delaunay_interpolator_pure_callback_vmap_memory.md
📋 Cluster-scale gradient-search benchmark (Prodigy vs Nautilus, point-source) — autolens_profiling
/start_dev draft/research/autolens_profiling/cluster_gradient_search_benchmark.md
📋 Adopt Python 3.12 as the PyAuto ecosystem minimum — libraries
/start_dev draft/research/libraries/python_312_minimum.md
maintenance — 21
📋 Untrack the generated FITS test artifacts in autoarray — libraries · small · supervised · medium
/start_dev draft/maintenance/libraries/untrack_generated_fits_test_artifacts.md
📋 smoke_install.sh's stale jax<0.7 pin — CI is on the right — ci · low · supervised · medium
/start_dev draft/maintenance/ci/smoke_install_stale_jax_pin.md
📋 autolens_workspace_developer rectangular experiments — Gut stash + rename — autolens_workspace_developer · small · supervised · normal
/start_dev draft/maintenance/autolens_workspace_developer/rectangular_experiments_gut_stash.md
📋 Defer the eager scipy.sparse import in derivative_util (~0.10 s of — libraries · small · safe · normal
/start_dev draft/maintenance/libraries/defer_scipy_sparse_import.md
📋 Mirror drifted library config keys into the workspace configs — workspaces · small · supervised · normal
/start_dev draft/maintenance/workspaces/config_key_mirror_drift.md
📋 Un-park imaging/features/scaling_relation/slam once PyAutoArray#431 merges — workspaces · small · supervised · normal
/start_dev draft/maintenance/workspaces/unpark_imaging_scaling_relation_slam.md
📋 autolens_workspace_developer: broad stale-API rot (56 symbols, no CI) — autolens_workspace_developer · medium · supervised · normal
/start_dev draft/maintenance/autolens_workspace_developer/stale_api_rot_audit.md
📋 run_smoke.py: three runner variants across 10 repos, no sync mechanism — ci · medium · supervised · normal
/start_dev draft/maintenance/ci/run_smoke_copy_drift.md
📋 Dependency-cap refresh 2026-08: safe bumps, astropy 8 decision, two dead — libraries · medium · supervised · normal
/start_dev draft/maintenance/libraries/dep_cap_refresh_2026_08.md
📋 PyAutoMemory canonical-key TODO sweep — pyautomemory · medium · supervised · normal
/start_dev draft/maintenance/pyautomemory/canonical_key_todo_sweep.md
📋 Single-source the "Never rewrite history" policy as a generated AGENTS.md — pyautomind · medium · supervised · normal
/start_dev draft/maintenance/pyautomind/history_policy_generated_block.md
📋 Capped smoke datasets were committed as if they were real — workspaces · medium · supervised · normal
/start_dev draft/maintenance/workspaces/committed_capped_smoke_datasets.md
📋 autolens_profiling is now a mature project, with a good separation — autolens_profiling · large · supervised · normal
/start_dev draft/maintenance/autolens_profiling/polish.md
📋 Auto-request GitHub Copilot code review on every PR, org-wide — ci · large · supervised · normal
/start_dev draft/maintenance/ci/copilot_auto_review.md
📋 autolens_workspace — workspaces · too-large · supervised · normal
/start_dev draft/maintenance/workspaces/read_through_issues.md
📋 Remove pynufft + legacy TransformerNUFFTPyNUFFT — libraries · low-medium · supervised · normal
/start_dev draft/maintenance/libraries/remove_pynufft_legacy_transformer.md
📋 dataset/imaging/jwst_lw is untracked because the gitignore was never extended for — autolens_profiling · small · supervised · low
/start_dev draft/maintenance/autolens_profiling/jwst_lw_untracked_gitignore_gap.md
📋 cosmos_web_ring stores boolean masks as float64, wasting ~3.4 MB of — autolens_workspace · small · supervised · low
/start_dev draft/maintenance/autolens_workspace/cosmos_web_ring_mask_dtype.md
📋 LaTeX in non-raw docstrings emits SyntaxWarning: invalid escape sequence — autolens_workspace · small · supervised · low
/start_dev draft/maintenance/autolens_workspace/latex_docstrings_invalid_escape_warnings.md
📋 Regenerate setup_notebook-drifted notebooks in autogalaxy/autofit/HowToFit workspaces — workspaces · small · supervised · low
/start_dev draft/maintenance/workspaces/notebook_setup_notebook_drift_siblings.md
📋 Refactor Agent witness map lacks PyAutoNerves test suite — pyautobrain · low · safe · low
/start_dev draft/maintenance/pyautobrain/refactor_witness_map_missing_autonerves.md
docs — 14
📋 multi_galaxy package: new regime package in autolens_workspace — autolens · large · supervised · high
/start_dev draft/docs/autolens/multi_galaxy_package.md
📋 Split lensing regimes: multi_galaxy / group / cluster (epic plan) — autolens · too-large · supervised · high
/start_dev draft/docs/autolens/split_lensing_regimes.md
📋 Advanced workspace guide: Preloads (PyAutoArray) — workspaces · too-large · supervised · high
/start_dev draft/docs/workspaces/preloads_advanced_workspace_guide.md
📋 Regenerate autolens_workspace markdown/ so the MGE pages show sigma_min — autolens_workspace · small · supervised · normal
/start_dev draft/docs/autolens_workspace/markdown_regeneration_sigma_min.md
📋 RTD organism docs currency: Nerves page, organ-count drift, hands.md rename — pyautobrain · small · supervised · normal
/start_dev draft/docs/pyautobrain/rtd_organism_currency.md
📋 Propagate the shear_galaxy-at-(0,0) idiom to group/ and cluster/ — workspaces · small · supervised · normal
/start_dev draft/docs/workspaces/propagate_shear_galaxy_idiom_to_group_cluster.md
📋 Rectangular mesh Enzi citation — user-workspace pixelization examples — workspaces · small · supervised · normal
/start_dev draft/docs/workspaces/rectangular_mesh_enzi_citation_examples.md
📋 Rewrite PyAutoCTI docs/api — 55 of 89 autosummary entries are — autocti · medium · supervised · normal
/start_dev draft/docs/autocti/api_rst_rewrite.md
📋 extra_galaxies feature parity: point_source + multi_galaxy (both workspaces) — workspaces · medium · supervised · normal
/start_dev draft/docs/workspaces/extra_galaxies_feature_parity.md
📋 HowToLens ch4 tutorial 3: mask overlay is never actually drawn — howtolens · small · supervised · low
/start_dev draft/docs/howtolens/ch4_mask_overlay_never_drawn.md
📋 Assistants: regime-aware routing for multi_galaxy / group / cluster (follow-up) — workspaces · medium · supervised · low
/start_dev draft/docs/workspaces/assistants_regime_extension.md
📋 Phase 2 — drop the hand-written quick-update sentence from the — autolens_workspace
/start_dev draft/docs/autolens_workspace/sampler_cli_output_workspace_sweep.md
📋 plot coverage — follow-ups deferred from plot-coverage-gaps — workspaces
/start_dev draft/docs/workspaces/plot_coverage_followups.md
📋 Phase 2: Make workspace READMEs assistant-first — workspaces
/start_dev draft/docs/workspaces/unify_ai_assistant_workspace_readmes.md
refactor — 5
📋 einstein_radius_jit_from: replace static init_guess with a JAX-native seed finder — autogalaxy · too-large · supervised · high
/start_dev draft/refactor/autogalaxy/einstein_radius_jit_native_seed_finder.md
📋 Vendor bessel_kve into autoarray and drop the tensorflow-probability dependency — autoarray · large · supervised · medium
/start_dev draft/refactor/autoarray/matern_vendor_bessel_kve.md
📋 Split Fitness.batch_size into lh_batch_size and latent_batch_size — autofit · small · supervised · normal
/start_dev draft/refactor/autofit/split_fitness_batch_size_lh_vs_latent.md
📋 Remove the dead EDEN packaging tooling from PyAutoFit — pyautofit · medium · supervised · normal
/start_dev draft/refactor/pyautofit/remove_eden_packaging_tooling.md
📋 Deduplicate repos_sync.py's check/write pairs — pyautomind · medium · safe · low
/start_dev draft/refactor/pyautomind/repos_sync_check_dedup.md
test — 5
📋 Re-baseline the MGE imaging JIT profiling regression value — autolens_workspace_developer · too-large · supervised · high
/start_dev draft/test/autolens_workspace_developer/mge_jit_regression_rebaseline.md
📋 Restore absolute NumPy likelihood regression baselines in the _workspace_test — workspaces · too-large · supervised · high
/start_dev draft/test/workspaces/restore_workspace_test_likelihood_baselines.md
📋 Relevance-gate the reusable smoke workflow so a PR only runs — pyautoheart · medium · supervised · normal
/start_dev draft/test/pyautoheart/smoke_relevance_gate.md
📋 Speed up the three slowest autolens_workspace_test smoke-gate scripts — workspaces · medium · supervised · normal
/start_dev draft/test/workspaces/slowest_smoke_gate_scripts.md
📋 The new workspace smoke-test GitHub Actions (added via feature/smoke-test-ci) surfaced — workspaces · too-large · supervised · normal
/start_dev draft/test/workspaces/smoke_workspace_fixes.md
triage — 4
📋 TRIAGE: needs manual review before routing — medium · safe · high
/start_dev draft/triage/jax_zero_contour.md
📋 Triage: Convolver "No blurring_image provided" warning in canonical workspace scripts — small · supervised · normal
/start_dev draft/triage/convolver_blurring_image_warning.md
📋 Nightly release has been blocked 8 nights running — triage — medium · supervised · normal
/start_dev draft/triage/nightly_release_blocked_eight_nights.md
📋 Bug in autocti_workspace: the dataset_1d results/database example scripts have drifted — large · supervised · normal
/start_dev draft/triage/bug_in_autocti_workspace_the_dataset_1d.md
release — 1
📋 CTI release-train wiring — first modern autocti release — autocti · medium · human-required · normal
/start_dev draft/release/autocti/cti_release_train_wiring.md
The 50 newest things to happen to the work in hand, newest first — issued, parked, filed. Every other section on this page is laid out by state, which is exactly why none of them can answer “what has been happening?”. Shipped work is not here: it is read from complete/index.md, and a thousand records deep it would crowd out everything anyone can still act on. Showing the newest 10; … opens the next 10.
| Date | Event | Task |
|---|---|---|
| 2026-08-23 | filed | Brain board follow-ups: what real mornings surface |
| 2026-08-22 | filed | smoke_install.sh's stale jax<0.7 pin — CI is on the right |
| 2026-08-22 | filed | multi_dataset/jax_likelihood scripts hang to the timeout cap (XLA… |
| 2026-08-22 | filed | Untrack the generated FITS test artifacts in autoarray |
| 2026-08-22 | filed | The reconstruction noise map describes a different estimator than the |
| 2026-08-22 | filed | Remove pynufft + legacy TransformerNUFFTPyNUFFT |
| 2026-08-22 | filed | Point-source JSON datasets record no resolution regime |
| 2026-08-22 | filed | Is Intel macOS a supported platform, and what is the |
| 2026-08-22 | filed | Defer the eager scipy.sparse import in derivative_util (~0.10 s of |
| 2026-08-22 | filed | Bug: fix the tracer.fits existence guard in autolens_workspace… |
… 10 more (40 left)
| Date | Event | Task |
|---|---|---|
| 2026-08-21 | filed | Rectangular mesh split: Bilinear (fast CPU default) vs RTU… |
| 2026-08-21 | filed | Numba PSF gathers derive the y/x kernel shifts from the |
| 2026-08-20 | filed | Numba CPU likelihood phase 2: kernel-CDF numba fast path (the |
| 2026-08-20 | filed | Numba CPU likelihood phase 1: batched MGE convolution +… |
| 2026-08-19 | filed | status.sh --repos sources a file that no longer exists |
| 2026-08-19 | filed | jax 0.11 breaks beta/gamma message log_partition under jit ('tuple'… |
| 2026-08-19 | filed | autolens_workspace_test jax_likelihood pins: 4 scripts fail smoke on… |
| 2026-08-19 | filed | autofit_profiling: bootstrap the repo + general PyAutoFit profiling… |
| 2026-08-19 | filed | autoreduce 0.9 on PyPI never got the Python 3.12 floor |
| 2026-08-19 | issued | @PyAutoFit TransformedMessage.factor_gradient crashes on first… |
… 10 more (30 left)
| Date | Event | Task |
|---|---|---|
| 2026-08-19 | filed | Release board: local run_logs enrichment |
| 2026-08-19 | filed | Refactor Agent witness map lacks PyAutoNerves test suite |
| 2026-08-19 | filed | RTD organism docs currency: Nerves page, organ-count drift, hands.md… |
| 2026-08-19 | filed | PyAutoConf rename leftovers in Brain functional surfaces |
| 2026-08-19 | filed | Explore: dashboardify the Brain's operational surfaces with pasteable… |
| 2026-08-19 | filed | Deduplicate repos_sync.py's check/write pairs |
| 2026-08-19 | filed | Bug in autocti_workspace: the dataset_1d results/database example… |
| 2026-08-18 | parked | single-source-density-design |
| 2026-08-18 | parked | prior-message-collapse-design |
| 2026-08-18 | filed | @PyAutoFit TransformedMessage.logpdf/pdf omit the transform… |
… 10 more (20 left)
| Date | Event | Task |
|---|---|---|
| 2026-08-17 | filed | Which other searches need prior-support handling — coverage audit… |
| 2026-08-17 | filed | Teach repos_sync --write to stamp organ config surfaces |
| 2026-08-16 | filed | LogGaussianPrior misreports its own support as (-inf, inf) |
| 2026-08-14 | filed | Three jax_likelihood pins are stale by ~1.24e-4 and fail the |
| 2026-08-09 | found | isothermal-ell-sph-oversampling-at-the-cusp |
| 2026-08-09 | filed | pixel_scales given as an int (or np.float64) is never widened |
| 2026-08-08 | parked | pyautoreduce-slacs1430-acs-comparison |
| 2026-08-08 | filed | Regenerate autolens_workspace markdown/ so the MGE pages show… |
| 2026-08-07 | filed | autofit.plot functions accept **kwargs and silently discard them |
| 2026-08-07 | filed | Regenerate setup_notebook-drifted notebooks in… |
… 10 more (10 left)
| Date | Event | Task |
|---|---|---|
| 2026-08-06 | filed | Triage: Convolver "No blurring_image provided" warning in canonical… |
| 2026-08-06 | filed | Rewrite PyAutoCTI docs/api — 55 of 89 autosummary entries are |
| 2026-08-06 | filed | Dependency-cap refresh 2026-08: safe bumps, astropy 8 decision, two… |
| 2026-08-05 | filed | Give PyAutoFit searches a seed — today no search can |
| 2026-08-04 | filed | dataset/imaging/jwst_lw is untracked because the gitignore was never… |
| 2026-08-04 | filed | cosmos_web_ring stores boolean masks as float64, wasting ~3.4 MB of |
| 2026-08-04 | filed | autolens_workspace_developer: broad stale-API rot (56 symbols, no CI) |
| 2026-08-04 | filed | aplt.Output stale-API drift in the remaining workspace repos |
| 2026-08-04 | filed | Nightly release has been blocked 8 nights running — triage |
| 2026-08-04 | filed | HowToLens ch4 tutorial 3: mask overlay is never actually drawn |
Dates come from each task's registry entry — lifecycle.py dates reports anything undated.
Long-running multi-phase programmes. Each epic's 📋 prompt has Claude read its ledger, work out where it stands, and continue from the next logical point. Members are worked in order through the epic's ledger — continue the epic rather than starting one standalone. Full record in epics.md.
📋 JAX profiling — inference programme — ledger: `autolens_profiling/results/notes/inference/PROGRAMME.md`
Continue the 'JAX profiling — inference programme' epic. Its canonical state lives in autolens_profiling/results/notes/inference/PROGRAMME.md — read that ledger (and any DECISIONS/RESULTS files beside it) first. Cross-check this epic's entry in PyAutoMind/epics.md, any related rows in PyAutoMind/active.md, and the referenced repos' open issues and PRs, to work out the last completed phase and what is currently in flight. Then pick the next logical step and continue it through the normal workflow (/start_dev — filing the phase's prompt first if none exists), updating the ledger as the work advances. Note: DECISIONS.md (append-only gate log) and phase_<NN>_*/RESULTS.md sit beside the ledger; slices ship as autolens_profiling issues/PRs, not Mind prompts.
Cluster strong lensing — Source & Cluster arc — 14 queued prompt(s), in order
📋 Cluster strong lensing — Source & Cluster arc — ledger: `draft/feature/autolens/source_cluster_arc.md`
Continue the 'Cluster strong lensing — Source & Cluster arc' epic. Its canonical state lives in draft/feature/autolens/source_cluster_arc.md — read that ledger (and any DECISIONS/RESULTS files beside it) first. Cross-check this epic's entry in PyAutoMind/epics.md, any related rows in PyAutoMind/active.md, and the referenced repos' open issues and PRs, to work out the last completed phase and what is currently in flight. Then pick the next logical step and continue it through the normal workflow (/start_dev — filing the phase's prompt first if none exists), updating the ledger as the work advances. Note: 12 phased prompts under draft/; issue phases ONE at a time as predecessors near shipping — no bulk issue queues.
📋 PointSolver error-behavior change: bisect the 2025-11→2026-05 candidates, then health-harden — autolens · too-large · supervised · high
/start_dev draft/bug/autolens/point_solver_error_bisect_health.md
📋 PointSolver profiling cells: lensed quasar → cluster runtime tier → — autolens_profiling · large · supervised · normal
/start_dev draft/research/autolens_profiling/point_solver_profiling_cells.md
📋 Critical curves: implement context-aware dispatch, dedupe engines, make clusters honor — autogalaxy · too-large · supervised · high
/start_dev draft/refactor/autogalaxy/critical_curves_dispatch_cluster.md
📋 Mesh magnification correctness: simulate-and-recover across every mesh variant — workspaces · large · supervised · normal
/start_dev draft/test/workspaces/mesh_magnification_correctness.md
📋 Magnification at a point: surface the existing API in source_science — autolens · large · supervised · high
/start_dev draft/feature/autolens/point_magnification_api.md
📋 Area magnification (LEGGOS-style): per-pixel inversion sum as primary; ShapeSolver rehabilitate-or-retire — autolens · large · supervised · high
/start_dev draft/feature/autolens/area_magnification_leggos.md
📋 Magnification errors via posterior draws, standalone in source_science — autolens · large · supervised · normal
/start_dev draft/feature/autolens/magnification_errors_posterior_draws.md
📋 Magnification maps: image-plane contour maps, source-plane mesh maps, uncertainty maps — autolens · large · supervised · high
/start_dev draft/feature/autolens/magnification_maps_visualization.md
📋 Cluster source_science.py: robust magnification science at cluster scale (no meshes — workspaces · large · supervised · high
/start_dev draft/feature/workspaces/cluster_source_science.md
📋 Cluster package: point-source-default narrative + extended-source follow-up feature — workspaces · medium · supervised · high
/start_dev draft/docs/workspaces/cluster_regime_narrative.md
📋 Cluster pixelized-source refinement: per-source masks via AnalysisFactor — workspaces · large · supervised · normal
/start_dev draft/feature/workspaces/cluster_pixelized_analysisfactor.md
📋 Cluster extended-source inference: gradient-based fitting building on JAX knowledge — autolens · large · supervised · normal
/start_dev draft/research/autolens/cluster_extended_source_inference.md
📋 HowToLens cluster tutorial: show a pixelized source + fix the — howtolens · large · supervised · normal
/start_dev draft/docs/howtolens/cluster_pixelized_source.md
📋 Source & Cluster arc — magnification science, PointSolver trust, cluster — autolens · too-large · supervised · high
/start_dev draft/feature/autolens/source_cluster_arc.md
Expectation propagation (EP) campaign — 9 queued prompt(s), in order
📋 Expectation propagation (EP) campaign — ledger: `draft/research/graphical_ep/ep_campaign.md`
Continue the 'Expectation propagation (EP) campaign' epic. Its canonical state lives in draft/research/graphical_ep/ep_campaign.md — read that ledger (and any DECISIONS/RESULTS files beside it) first. Cross-check this epic's entry in PyAutoMind/epics.md, any related rows in PyAutoMind/active.md, and the referenced repos' open issues and PRs, to work out the last completed phase and what is currently in flight. Then pick the next logical step and continue it through the normal workflow (/start_dev — filing the phase's prompt first if none exists), updating the ledger as the work advances. Note: umbrella phase map — each phase's real content lives in its own prompt under draft/research/graphical_ep/; the campaign file itself is never issued.
📋 Analytic Gaussian benchmark: closed-form validation of graphical + EP — graphical_ep · medium · supervised · high
/start_dev draft/research/graphical_ep/analytic_gaussian_benchmark.md
📋 EP hierarchical parent-scale collapse: cure the basin, or document the — autofit · too-large · human-required · high
/start_dev draft/bug/autofit/ep_scale_collapse_basin_cure_or_caveat.md
📋 Graphical Model Scale-Up — Scoping — graphical_ep · too-large · supervised · high
/start_dev draft/research/graphical_ep/graphical_scoping.md
📋 slope_hierarchy: scale the hierarchical slope recovery to N=25–50 — graphical_ep · medium · supervised · normal
/start_dev draft/research/graphical_ep/slope_hierarchy_n25_scale_up.md
📋 The project @z_projects/ic50_workspace is our IC50 use case which we — autofit · medium · safe · normal
/start_dev draft/feature/autofit/ep_lbfgs_jax.md
📋 IC50 use case: EP end-to-end with existing derived-variable handling — graphical_ep · large · supervised · normal
/start_dev draft/research/graphical_ep/ic50_ep_scale_up.md
📋 EP campaign — phase map for the 2026 Q3 graphical/EP — graphical_ep · too-large · supervised · high
/start_dev draft/research/graphical_ep/ep_campaign.md
📋 Expectation Propagation Scale-Up — Scoping — graphical_ep · too-large · supervised · high
/start_dev draft/research/graphical_ep/ep_scoping.md
📋 slope_hierarchy: methods write-up (NUTS headline, EP cautionary) — graphical_ep · medium · supervised · normal
/start_dev draft/research/graphical_ep/slope_hierarchy_methods_writeup.md
6 prompt(s) without a metadata header — they show no facets above. Re-home or re-run intake on them when touched.
Headerless prompts
draft/bug/autolens/interferometer_release_leg_oom.mddraft/docs/autolens_workspace/sampler_cli_output_workspace_sweep.mddraft/docs/workspaces/plot_coverage_followups.mddraft/docs/workspaces/unify_ai_assistant_workspace_readmes.mddraft/research/autolens_profiling/cluster_gradient_search_benchmark.mddraft/research/libraries/python_312_minimum.md