@mattpocockuk: Some mistakes you might be making: Your effort level is too high Your skills are too long You're not aligning before yo…

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Summary

Matt Pocock lists common mistakes developers make when working with AI coding agents, including misaligned effort, overly long prompts, weak automated checks, poor codebase navigation, and insufficient agent autonomy.

Some mistakes you might be making: Your effort level is too high Your skills are too long You're not aligning before you start work You're aligning too often, and too hard Your automated checks are too lax Your custom tooling is too token-inefficient You aren't doing enough automated review You aren't reviewing previous coding sessions (with an agent) You're doing too much human review You aren't vibe coding enough prototypes Your agent can't verify its own work You're babysitting the agent too much You've overloaded your global steering files Your codebase is hard to navigate You aren't building a shared language Your codebase architecture allows bad tests to be written You aren't thinking strategically enough You aren't thinking enough
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Cached at: 10/13/26, 01:45 PM

Some mistakes you might be making:

Your effort level is too high Your skills are too long You’re not aligning before you start work You’re aligning too often, and too hard Your automated checks are too lax Your custom tooling is too token-inefficient You aren’t doing enough automated review You aren’t reviewing previous coding sessions (with an agent) You’re doing too much human review You aren’t vibe coding enough prototypes Your agent can’t verify its own work You’re babysitting the agent too much You’ve overloaded your global steering files Your codebase is hard to navigate You aren’t building a shared language Your codebase architecture allows bad tests to be written You aren’t thinking strategically enough You aren’t thinking enough

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