My Agent Shipped 3 PRs in an Evening. 40% of My Messages Were Corrections.
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An agent session orchestrated by DeepSeek V4-Flash shipped three SPFx 1.23.2 pull requests (MCP client, Azure AI Agent, M365 Copilot Agent) in 75 active minutes, generating 3,500 lines of code. However, 12 of the user's 30 messages (40%) were corrections, clustered around pipeline setup and warning fixes, as the agent defaulted to implementing instead of orchestrating and made wrong tech choices (Yeoman 1.22, community library) despite correct context. Once the process was enforced, the third sample required zero corrections, highlighting that capability exists but constraint surfacing is the bottleneck.