Original sourceInfoQ
Summary
Google's Gemini 4 Argon autonomously optimized its own Agent Development Kit (ADK), a Python project of over 200,000 lines: in an 11-hour unattended run, Argon proposed and completed two accepted improvements — filtering event history to cut memory preparation overhead in long sessions by about 40%…
Key points
- Teams wanting to use agents on large legacy codebases can see how much verification and review support is needed.
- An agent can modify 200,000 lines of code unattended and pass tests, but review and maintainability remain the decisive gates.
- Engineering teams can consider handing baseline setup and test execution to agents, but must retain formal review to avoid hard-to-maintain changes.
Editorial note
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