I switched from GitHub Copilot to Google Antigravity last month (January, 2026) in an effort to allow agents more/better access to my project’s code base. After working with near half a dozen LLM models on a multi-file custom authentication flow, the project appeared to hit a complexity ceiling with Copilot, and needed a more robust, agent-centric environment.
I can’t say I’ve got the full grasp of it all quite yet, but I did just finish fixing an elusive multi-file timing bug after a 17-hour stint with an agent, and wanted to share a part of that journey — the retrospective.
I figured while half the industry is seemingly finding success with full-spectrum, multi-agent development, why not see what it could do for self-improvement?
Instead of having an agent try to self-diagnose its own chat history*, and in an effort to keep agent threads short and focused, having a new agent digest an existing agent’s thread would have been ideal. Unfortunately, it was also deemed not possible.
can one antigravity agent digest another agent thread?
In the context of Google Antigravity, the “agent-first” developer platform, agents cannot natively “digest” or directly read another agent’s conversation thread because there is currently no direct agent-to-agent communication. – Google AI Mode (2026-02-10) via Reddit (2026-01-09)
So the solution turned to having the troubleshooting agent just dump its thread into a shared document, and have a retrospective-focused agent digest the document and produce a retrospective. But then also, not just any retrospective… but one that focuses on what improvements can be made to better help the agent itself with future debugging sessions.
- * Tip: It has been advised to use a different model for for your retrospective analysis, as they can all ‘see’ things differently.
In retrospect, one tweak I think I might could make at some point is, I believe the ‘dump request’ Workflow might be asking for, or providing a bit too much analysis in its dump, and could likely be curtailed to dumping more of just the raw chat history. Will need to see if a full analysis of a semi-analysis is revealing enough about improvement suggestions. 🤔
Perhaps the next step, if this proves beneficial, is self-repair; or perhaps, better … self-repair? 🩹 I’ve heard tale of folks already setting up agents to do this, but I also learned last week on LinkedIn that self-annealing is a bit frowned upon at the moment. Mostly due to it being a waste of compute, especially when applying a little discipline to agent workflows can oftentimes help keep things from needing to be fixed in the first place. Or, adding things like validation gates to an agent workflow to catch errors early. Food for thought.
Below is a link to my Antigravity Retrospective Gist with 5 files. Each file can be copy/pasted as a global* Workflow and should work as-is, provided the instructions within are followed.
* The reason for making these global is because retrospectives can be useful on many projects.
- GitHub Gist
- Readme
- Retro Part 1 – Dump Request – Single-thread
- Retro Part 2 – Retro Analysis
- Retro Part 1 – Dump Request – Multi-thread (when debugging spans across chats)
- Retro Part 2 – Retro Analysis
I hope this is helpful, or at the very least insightful.
Cheers!
Keith | https://keithdc.com
