Heavy AI user asks: how do you trust agent output enough to ship it as-is?
1jaho · reddit · 2026-10-12
A daily heavy AI user posts on Reddit asking for help. They've used Codex, Claude Code and the desktop apps, wired up skills, multiple MCPs, CLI tools, and Chrome driven by Claude — close to a fully autonomous local setup where agents iterate to build features.
Their pain point is output quality: with a complicated system and no bulletproof guidelines, the architecture drifts over time, and they almost always fix a few things after reviewing agent output. The goal is to look at an agent's work after a few hours and feel "this is ready to ship to production as is."
They're asking the community for practical tools, skills, and setups that build this level of trust in long-running autonomous agents.
More from coding & agent
- Index Network open-sources Social Discovery Protocol: agents negotiate fit on your behalf — carsonfarmer · 2026-10-23
- Installed a formal-verification skill: it silently installed Java, MacBook runs 10 degrees hotter — zealcaiden · 2026-10-23
- OpenAI's Decisions API hits GA: near real-time routing up to 10x faster than GPT-6 Luna — OpenAIDevs · 2026-10-23
- Ruff author warns: upgrade Node/Bun now — --use-system-ca still accepts the eMudhra cert — charliermarsh · 2026-10-23
- Proof of Agent: paste one prompt and your AI mines, grades, and self-governs — adamamcbride · 2026-10-23
- DeepLearning.AI weekly: GPT-6.1 hits 97.9% byte parity on COBOL migration — DeepLearningAI · 2026-10-23