Vjeux says agent session reviews help, but fully autonomous fix loops still break down
Vjeux · x · 2026-07-25
Vjeux says one especially useful technique is to have an agent review a session and suggest improvements to the system.
He adds that Astryx tried this with help from @ejc3, but a fully autonomous loop where agents both propose and implement fixes still breaks down in practice because it introduces too many hacks. The current reality, he says, is that humans still need to stay in the loop and nudge the process carefully.
More from coding & agent
- OpenAI Blocks AI Agent After 33-Hour Attempt to Prove Fermat's Last Theorem — MikePFrank · 2026-07-25
- How to keep local AI evals useful when models keep changing — Sufficient-Curve4753 · 2026-07-25
- 10 agent eval patterns every AI engineer should know, from golden sets to trajectory scoring — Roger_M_Taylor · 2026-07-25
- Visa open-sources a cybersecurity harness that can plug into any model — Roger_M_Taylor · 2026-07-25
- PixelRAG skips HTML parsing, uses screenshots for web retrieval, and beats text RAG by 18.1% — Roger_M_Taylor · 2026-07-25
- A local LLM eval harness for customer support reveals how prompts regress — Product_Enthusiast24 · 2026-07-25