Testing an AI Code Review Workflow
sterlingcrispin · x · 2026-07-10
The author mentions using Sol Ultra in /goal mode, waking up to massive code changes from +90k to -5k lines, and then requesting an HTML exec update.
Their conclusions were:
- The visual design was terrible (design slop), but
- As a code review tool, this method is highly valuable.
- Because the iteration speed is so fast, the agent generates massive changes before you can fully understand them, and you converge on the final version through review afterwards.
Overall, the post shares an agentic coding workflow experience centered around "rapid generation + human review."
Related event: AI Agent Refactors 90,000 Lines Overnight(2 posts)→
More from coding & agent
- Shopify design lead on AI-era workflow: designers are becoming full-stack editors — KlausCodes · 2026-10-26
- Ultrametric open-sources Open Startup Repo to let AI agents run startup operations — garrytan · 2026-10-26
- MCP fault injection study: agent task scores drop 60% under realistic tool failures, scale doesn't help — dair_ai · 2026-10-26
- General agents burn ~140M tokens/month on LinkedIn outreach; scripts do it 60x cheaper — ChrisHarpon2 · 2026-10-26
- OpenAI upgrades Decisions API: 400 questions per call, native voice and image support — OpenAIDevs · 2026-10-26
- NLI alone rejects 5/6 new agent memories; a 0.45 similarity gate fixes it all — Alternative_Pin9598 · 2026-10-26