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Ryan Malloy 2025-07-20 03:12:51 -06:00
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docs/explanation/why-hooks.md
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@ -14,7 +14,7 @@ This creates a jarring experience: you're deep in a debugging session, making pr
### The Repetitive Failure Problem
Human developers naturally learn from mistakes. Try a command that fails, remember not to do it again, adapt. But each new Claude session starts with no memory of previous failures. You find yourself watching Claude repeat the same mistakes - `pip` instead of `pip3`, `python` instead of `python3`, dangerous operations that you know will fail.
Human developers naturally learn from mistakes. Try a command that fails, remember not to do it again, adapt. But each new Claude session starts with no memory of previous failures. You find yourself watching Claude repeat the same mistakes - `npm install` instead of `npm ci`, `node` without proper version checks, dangerous operations that you know will fail.
This isn't Claude's fault - it's a fundamental limitation of the stateless conversation model. But it creates frustration and inefficiency.
@ -62,7 +62,7 @@ You might wonder: why not just train Claude to be better at avoiding these probl
The answer lies in the fundamental difference between general intelligence and environmental adaptation:
**General intelligence** (what Claude provides) is knowledge that applies across all contexts - how to write Python, how to use git, how to debug problems.
**General intelligence** (what Claude provides) is knowledge that applies across all contexts - how to write JavaScript, how to use git, how to debug problems.
**Environmental adaptation** (what shadow learning provides) is knowledge specific to your setup - which commands work on your system, what your typical workflows are, what mistakes you commonly make.