replay: first live curator gallery run over the homelab corpus#118
replay: first live curator gallery run over the homelab corpus#118Coldaine wants to merge 1 commit into
Conversation
16 DeepSeek curator calls over the 2,885-event corpus produced 17 exhibits (3 active at session end, 14 retired with visitor-facing reasons). Gallery and report archived; findings appended to the history log. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01U9EpjZNoWaXLzfG93tdvTU
🤖 CodeAnt AI — Review Status
|
Thanks for using CodeAnt! 🎉We're free for open-source projects. if you're enjoying it, help us grow by sharing. Share on X · |
|
Important Review skippedAuto reviews are disabled on base/target branches other than the default branch. Please check the settings in the CodeRabbit UI or the ⚙️ Run configurationConfiguration used: Organization UI Review profile: ASSERTIVE Plan: Pro Plus Run ID: You can disable this status message by setting the Use the checkbox below for a quick retry:
✨ Finishing Touches🧪 Generate unit tests (beta)
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
There was a problem hiding this comment.
Pull request overview
Archives the first end-to-end “live curator” replay run over the homelab corpus, capturing the resulting gallery artifacts and a structured run report so the project has an auditable baseline for the exhibit-floor curator pipeline.
Changes:
- Appends a 2026-07-23 run entry to
docs/history/log.mdwith key run stats, outcomes, and follow-ups. - Adds the archived run outputs under
docs/history/gallery-run-2026-07-23/(report.json+gallery.json) for later inspection and comparison.
Reviewed changes
Copilot reviewed 2 out of 3 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
| docs/history/log.md | Adds a dated history entry summarizing the live curator gallery run and notes a known UI scale mismatch. |
| docs/history/gallery-run-2026-07-23/report.json | Adds the detailed run report (triggers, aggregates, checkpoints, final gallery state). |
| docs/history/gallery-run-2026-07-23/gallery.json | Adds the exported final gallery artifact list for the run. |
💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.
| "id": "on-the-clock-gauge", | ||
| "exhibitType": "momentum", | ||
| "title": "Two blockers, three hopes", | ||
| "narrative": "The gauge holds at 62 because both PR lanes remain unmerged, but the past few minutes reveal a new friction: server-side dry-run keeps failing on a namespace-scoping quirk that requires an in-memory rewrite to bypass. This is not a manifest error — it is a validation tooling gap — but it costs time. Meanwhile, all three sub-agents reported back cleanly: the PG19 schema is pinned with digest proof, the recovery tooling passed independent review, and the platform commit is clean. The bottleneck has shifted from authoring to validation and merge logistics.", |
| "id": "on-the-clock-gauge", | ||
| "exhibitType": "momentum", | ||
| "title": "Two blockers, three hopes", | ||
| "narrative": "The gauge holds at 62 because both PR lanes remain unmerged, but the past few minutes reveal a new friction: server-side dry-run keeps failing on a namespace-scoping quirk that requires an in-memory rewrite to bypass. This is not a manifest error — it is a validation tooling gap — but it costs time. Meanwhile, all three sub-agents reported back cleanly: the PG19 schema is pinned with digest proof, the recovery tooling passed independent review, and the platform commit is clean. The bottleneck has shifted from authoring to validation and merge logistics.", |
| "four-results-one-review", | ||
| "stumble-at-start", | ||
| "four-results-one-review" |
There was a problem hiding this comment.
Requesting changes for two archive-correctness issues found in the generated gallery/report. The JSON structure and aggregate counts otherwise reconcile, and the existing test and GitGuardian checks pass at this head.
The recorded live p95 latency is 32.9s versus the replay plan's <30s target; that is a follow-up performance risk already captured by the report, not a reason to reject this archive once the correctness issues below are fixed.
| "id": "on-the-clock-gauge", | ||
| "exhibitType": "momentum", | ||
| "title": "Two blockers, three hopes", | ||
| "narrative": "The gauge holds at 62 because both PR lanes remain unmerged, but the past few minutes reveal a new friction: server-side dry-run keeps failing on a namespace-scoping quirk that requires an in-memory rewrite to bypass. This is not a manifest error — it is a validation tooling gap — but it costs time. Meanwhile, all three sub-agents reported back cleanly: the PG19 schema is pinned with digest proof, the recovery tooling passed independent review, and the platform commit is clean. The bottleneck has shifted from authoring to validation and merge logistics.", |
There was a problem hiding this comment.
This narrative says the gauge is 62, but the same artifact's rendered payload below sets value to 48 (and the PR/history claim is also 48). The central momentum exhibit therefore presents two conflicting gauge values. Please regenerate or update both this file and the duplicated report.json gallery entry so the narrative and payload agree.
| "firstInsightVirtualMs": 1784814906449, | ||
| "firstInsightUtc": "2026-07-23T13:55:06.449Z", | ||
| "leadMinutes": 137.06231666666667, | ||
| "matchedBy": "Parallel research wave — The observed agent has deployed three autonomous sub-agents, each with a read-only mandate and a distinct domain: database inventory and recovery (target 019f8ee9-f09b...), custom PostgreSQL 18 image requirements (target 019f8ee9-f141...), and Kubernetes/CNPG/FalkorDB dependency mapping (target 019f8ef6-5953...). Each was given a precise, question-driven brief with explicit exclusions. The observed agent did not wait — it concurrently audited existing branches, checked web research results (CNPG docs, FalkorDB releases, GHCR attestation patterns), and inspected archived dumps for extension declarations. This is a deliberate intelligence-gathering phase before committing to a plan that must be decision-complete, database-only, and aware of all phase gates." |
There was a problem hiding this comment.
This checkpoint is marked as surfaced, but firstInsightUtc is 2026-07-23T13:55:06Z, 137.1 virtual minutes before the GHCR ground truth at 16:12:10Z, and matchedBy is the generic Parallel research wave summary. That is an early broad ghcr text match, not evidence that the repeated-search/403 stall was detected. Please narrow/re-run the matcher or label this as a loose/false-positive match and update the PR/history claim accordingly.
User description
What
PR-D of the exhibit floor series (#115 design -> #116 components -> #117 pipeline -> this): the first end-to-end proof that an agent with a rich prompt authors interesting artifacts against UI built in advance.
Replayed the homelab PG18-recovery corpus (2,885 events, 4.6 virtual hours) at 60x with the curator prompt live on DeepSeek:
docs/history/gallery-run-2026-07-23/; findings appended todocs/history/log.md.Known UI nit (follow-up)
Momentum what`s-next confidence chips render "0.85%" instead of "85%" - 0..1 vs 0..100 scale mismatch between the curator contract and the chip formatter.
🤖 Generated with Claude Code
https://claude.ai/code/session_01U9EpjZNoWaXLzfG93tdvTU
CodeAnt-AI Description
Record the first live curator gallery run over the homelab corpus
What Changed
Impact
✅ Clearer run history✅ Easier audit of curator outcomes✅ Faster review of gallery results💡 Usage Guide
Checking Your Pull Request
Every time you make a pull request, our system automatically looks through it. We check for security issues, mistakes in how you're setting up your infrastructure, and common code problems. We do this to make sure your changes are solid and won't cause any trouble later.
Talking to CodeAnt AI
Got a question or need a hand with something in your pull request? You can easily get in touch with CodeAnt AI right here. Just type the following in a comment on your pull request, and replace "Your question here" with whatever you want to ask:
This lets you have a chat with CodeAnt AI about your pull request, making it easier to understand and improve your code.
Example
Preserve Org Learnings with CodeAnt
You can record team preferences so CodeAnt AI applies them in future reviews. Reply directly to the specific CodeAnt AI suggestion (in the same thread) and replace "Your feedback here" with your input:
This helps CodeAnt AI learn and adapt to your team's coding style and standards.
Example
Retrigger review
Ask CodeAnt AI to review the PR again, by typing:
Check Your Repository Health
To analyze the health of your code repository, visit our dashboard at https://app.codeant.ai. This tool helps you identify potential issues and areas for improvement in your codebase, ensuring your repository maintains high standards of code health.