Most AI coding agents fail — not from bad code, but bad setup. Across thousands of agent tasks, here’s what consistently works 👇
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Where agents work reliably:
- Reproducible, testable bugs
- Features with clear specs (tickets, design docs)
- Codebase exploration
- Prototypes / spikes
- PR cleanup
They struggle when requirements are underspecified.
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Yeah, it’s wild how much the setup can tank a project before you even start writing any code. Had a tough time with that last week. @QodoAI actually helped point out a few setup issues I was blind to. It’s like, no one prepares you for how much of a headache that can be. Time for me to dive into bed soon.
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