-
Notifications
You must be signed in to change notification settings - Fork 5
docs: add backlog tasks and loop auto-advance #298
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Conversation
Summary of ChangesHello @marcusquinn, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request enhances the agent's operational efficiency by introducing an auto-advance feature for the full loop, which will reduce manual intervention in v2 task completion. Concurrently, it significantly strengthens the project's security posture by outlining and detailing future work on critical areas like script integrity, safe shell command execution, and secure token management. These changes collectively aim to improve both automation and overall system resilience. Highlights
Changelog
Activity
Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here. You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension. Footnotes
|
|
Warning Rate limit exceeded
⌛ How to resolve this issue?After the wait time has elapsed, a review can be triggered using the We recommend that you space out your commits to avoid hitting the rate limit. 🚦 How do rate limits work?CodeRabbit enforces hourly rate limits for each developer per organization. Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout. Please see our FAQ for further information. WalkthroughIntroduces automatic phase advancement in the foreground execution loop with legacy state detection, expands the backlog with eight new tracked items, and adds two security-focused planning entries with comprehensive metadata to the active plans inventory. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~12 minutes Possibly related PRs
Poem
🚥 Pre-merge checks | ✅ 3✅ Passed checks (3 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ 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.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Code Review
This pull request introduces an auto-advance feature for the v2 task loop and updates the project's backlog with new tasks and plans, primarily focused on security enhancements. The implementation for the loop auto-advance in full-loop-helper.sh is sound, correctly distinguishing between legacy and v2 modes. The documentation updates in TODO.md and PLANS.md are clear and add important context for upcoming work. I've identified a couple of areas for improvement: one regarding code maintainability in the shell script by centralizing path constants, and another concerning data consistency in TODO.md where the machine-readable and human-readable backlogs are out of sync. Addressing these points will enhance the quality and maintainability of the codebase.
|
|
||
| # Auto-advance when task phase completes in v2. | ||
| # Legacy mode leaves a Ralph state file; in that case we must wait for manual completion. | ||
| if [[ -f ".agent/loop-state/ralph-loop.local.state" ]] || [[ -f ".claude/ralph-loop.local.state" ]]; then |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
The file paths for legacy state files are hardcoded here. To improve maintainability and avoid duplicating these strings if they are used elsewhere, consider defining them as constants in a shared configuration file (e.g., shared-constants.sh). This centralizes path management, making future updates easier and reducing the risk of inconsistencies.
| t109,Fix template deploy head usage error (invalid option -z),,setup|deploy|bugfix,30m,20m,10m,2026-02-03T00:00Z,pending,,, | ||
| t110,Resolve awk newline warnings during setup deploy (system-reminder),,setup|deploy|bugfix,45m,30m,15m,2026-02-03T00:00Z,pending,,, | ||
| t111,Resolve DSPy dependency conflict (gepa) in setup flow,,python|dspy|deps,45m,30m,15m,2026-02-03T00:00Z,pending,,, |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
There's an inconsistency between the human-readable backlog and the machine-readable TOON:backlog block. Tasks t109, t110, and t111 are present in this TOON block but are missing from the human-readable list of tasks in the backlog section above. To ensure maintainability and clarity, these two representations of the backlog should be kept in sync.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Actionable comments posted: 3
🤖 Fix all issues with AI agents
In `@TODO.md`:
- Around line 55-59: The human-readable TODO.md stops at t108 while the TOON
backlog contains t109–t111; update TODO.md by adding the missing t109, t110, and
t111 entries using the same item format as existing lines (checkbox, id, short
title, tags, estimate, parent plan link if present, and logged date) so the
human list exactly mirrors the TOON backlog; ensure each new line uses the same
syntax as examples (e.g., "- [ ] t109 ... `#tags` ~1h (ai:... test:...)
logged:YYYY-MM-DD") and verify IDs and titles match the canonical TOON entries.
In `@todo/PLANS.md`:
- Around line 96-100: Milestone ID collision: the <!--TOON:milestones[...] block
for plan_id p017 reuses IDs m068, m069, m070 already present in the Multi‑Agent
Orchestration plan; to fix, open the TOON milestone block (the comment starting
with <!--TOON:milestones[3]{...}...) and replace m068, m069, m070 with new
unique IDs that do not exist elsewhere (e.g., m0xx series), preserving plan_id
p017 and the rest of each row (desc, est, scheduled, status); after updating,
run your TOON/milestone validation script or search the repo for duplicate IDs
to confirm no collisions remain.
- Around line 52-57: The milestones block uses IDs m064–m067 which collide with
existing milestones; update the duplicate IDs in this TOON milestone fragment
(the entries with plan_id p016 and descriptions "Phase 1: Inventory curl|sh
usages...", "Phase 2: Replace with download-verify-execute flow...", "Phase 3:
Add fallback behavior and error messages", "Phase 4: Update docs/tests and
verify behavior") to new, unique IDs (e.g., m068–m071 or another unused
sequence) so TOON parsing/analytics won’t break, making sure all four IDs are
consistent and not used elsewhere in the file.
|
🔍 Code Quality Report�[0;35m[MONITOR]�[0m Code Review Monitoring Report �[0;34m[INFO]�[0m Latest Quality Status: �[0;34m[INFO]�[0m Recent monitoring activity: 📈 Current Quality Metrics
Generated on: Wed Feb 4 04:39:45 UTC 2026 Generated by AI DevOps Framework Code Review Monitoring |



Summary
Summary by CodeRabbit