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[ARTICLE · art-60264] src=dev.to ↗ pub= topic=ai-agents verified=true sentiment=· neutral

I Read 500+ GitHub Issues About AI Agents. We Keep Solving the Wrong Problems.

An engineer analyzed over 500 GitHub issues about AI agents and found that the most common production problems are not prompts, memory, or RAG, but reliability issues like loops, false completion, replay, retries, wrong tool, and non-deterministic execution. This led the developer to build Failproof AI to address these recurring reliability problems.

read1 min views59 publishedJul 15, 2026
I Read 500+ GitHub Issues About AI Agents. We Keep Solving the Wrong Problems.
Image: Dev.to

Everyone talks about

prompts

memory

RAG

But production issues were actually

loops

false completion

replay

retries

wrong tool

non deterministic execution

Here are the top 7.

That's what led us to build Failproof AI not because we wanted another framework, but because we kept seeing the same reliability problems across every framework.

source & further reading
dev.to — original article The Same Model Debating Itself Was More Self-Critical Than Two Different Models We started writing docs for AI agents, not humans — and made it an open standard My tests were describing the code, not checking it
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