Serghei Iakovlev’s Post

Coding agents can write code. That's solved. Now try running five of them unattended. In a month of building a Go project with agents handling most of the 242 issues, I hit five failure modes over and over. None involve code generation quality. All involve the feedback infrastructure around the agent. I wrote up the full story in a blog post. Links in the first comment. #OpenSource #CodingAgents #SoftwareDelivery #DevTools

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Very interesting article and takeaways!BTW, have you thought maybe about using Temporal as an orchestrator?

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Sounds interesting! I definitely had these problems with cloud async agents. Added a star to your repo, will try it out soon!

I teach my agents through code reviews and DDD workshops. Self-learning feedback loops — based on regular PR reviews — compound over time, refining the rules and letting them produce code the way I would: thoughtful and well-designed. I scope requirements into detailed tickets that actually drive the work. For me, AI is just a tool to translate my intent into words. http://dev10x.guru https://www.skool.com/dev10x-1892

Adrian Teodorescu

IT Solutions Architect | Software Dev Team Manager

1w

Had the same problem(s). Develop an orchestration skill with a high thinking at the top that delegates a CI run (sonar in my case), and then loads a low (read free) cost agent like qwen to poll until is finished, then pulls results, categorizes them by file and delgates the issues to agents. And restarts the cycle.

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hm, you should not run them unattended and on your machine/infra only. Please have a look at #github #agentic #workflow #gh-awhttps://github.com/github/gh-aw I think you will find lots of ready to use workflows/agents from Jonathan "Peli" de Halleux #agentfactory. https://github.com/githubnext/agentics

Running around ~30 agents while programming. My Claude.md files or Github Copilot agents setup are doing magic.

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If it’s solved, why is software more buggy than ever?

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