~/talk

From Logs to Fixes: Teaching AI to Maintain Software

on YouTube 42m
Talkat Build Stuff 2025 · 2025-12-03..12-05· [ai-assisted-development]

speaker

name:Artur Naumenko
links:none on file

resources

video:https://youtu.be/QD6lO8bqkcU
slides:none on file

summary

Built a pipeline that freezes logs, feeds them to an LLM agent (Claude), maps trace lines to source files, generates fixes, creates GitLab issues and merge requests, and runs CI — all orchestrated with n8n orchestration. Demo uses a tiny Java blog on a €7 VPS; agent finds and corrects typos (wrong casing and a redirect key), produces a descriptive issue and MR, runs tests (16 passing) and deploys. Needs logs as source of truth, snapshots, test suites and guardrails; it struggles with frontend, architecture and very large codebases despite automatic MR generation.

AI-written summary · about

chapters (11)

  1. 0:00🚀 Build Stuff Conference – Get Your Tickets!
  2. 0:30Introduction: From Side Project to AI Maintenance Idea
  3. 3:40The Maintenance Problem in Software Teams
  4. 7:00Traditional Debugging vs AI-Assisted Flow
  5. 10:20Pipeline Overview: Logs → Fixes → PRs
  6. 14:00Demo Setup: Blog App with Intentional Bugs
  7. 18:30Running the AI Pipeline (n8n + LLM Agent)
  8. 23:00AI Detects Issues and Generates Fixes
  9. 27:00Reviewing AI-Generated Pull Requests
  10. 30:00What Works vs What Doesn’t (Limitations)
  11. 33:00Final Takeaways: AI as Assistive, Not Autonomous

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