Why AI Coding Agents Fail (And How to Fix Them)
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 [[{“value”:”This video is sponsored by Upstash. Try Upstash Box: https://upstash.com?utm_source=prompt1

What is a software factory, and how do you build one? In this video I explain the idea, then build a working software factory with Claude Code running in Upstash Box sandboxes and point it at a real repo with 10 GitHub issues. It finished in 4 min 34 s, opened 9 pull requests, skipped the one vague issue, and all 9 fixes passed hidden tests the agents never saw.

What you’ll learn:
– The core loop behind every software factory: issue → agent → independent check → human merge
– Why running coding agents in parallel breaks, and the five fixes (sandbox per agent, claim labels, separate verifier + reviewer, live docs, human merges)
– How Upstash Box gives each agent its own cloud sandbox: fast boot, snapshots, isolation, pause/resume, egress allowlists
– A four-stage pipeline (triage, worker, verifier, reviewer) with typed handoffs between boxes
– Grounding agents with Context7 live docs, with the API key injected outside the box
– Why 7 of 9 verified PRs still conflicted, and the integrator stage that merged them
– What it actually cost: $3.67 for the run, $6.37 for the integrator, about $0.01 of Box compute

Links:
– Factory code: https://github.com/PromtEngineer/software-factory
– Upstash Box docs: https://upstash.com?utm_source=prompt1
– Context7: https://context7.com
– Context7 Search (Upstash blog): https://upstash.com/blog/context7-search

#softwarefactory #claudecode #aiagents #upstash”}]] Read More Prompt Engineering 

#Promptengineering #AI

By ali

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