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

After analyzing over 500 GitHub issues about AI agents, a developer found that the most common production problems are loops, false completion, replay, retries, wrong tool, and non-deterministic execution, not prompts, memory, or RAG. This led to the creation of Failproof AI, a tool focused on reliability rather than yet another framework.

read1 min views6 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 I’m sick of AI “Thinkslop” in my PRs Background Agents: The Open-Source System That Lets AI Code While You Sleep (382K+ GitHub Stars) Building Autonomous AI Agents on Solana — Why Execution Speed Changes Everything
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