Splitting Planning and Execution in a Claude Code and DeepSeek Pipeline
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Somewhere around the third feature request in a row, I noticed I was burning a full Claude Code session on work that did not need it. Adding a pagination parameter to an endpoint. Renaming a serializer field across four files. Tasks with a clear answer and almost no judgment involved, running through the same model I use to decide whether a migration is safe or whether a query pattern will lock a table in production. That mismatch is what pushed me toward a two model pipeline: Claude Code…
1Key Takeaways
- Somewhere around the third feature request in a row, I noticed I was burning a full Claude Code session on work that did not need it.
- Adding a pagination parameter to an endpoint.
- Renaming a serializer field across four files.
- Tasks with a clear answer and almost no judgment involved, running through the same model I use to decide whether a migration is safe or whether a query pattern will lock a table in production.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that somewhere around the third feature request in a row, I noticed I was burning a full Claude Code session on work that did not need it.
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