Code Agent Review

Assistants speed up coding; agents handle multistep tasks with testing and revision.

Choose your agent's home based on workflow clarity, not just where inference runs.

Isolation alone won't catch agent actions that reach production systems or leak state between runs.

Independent verification must break the agent's loop of writing code and validating its own tests.

Choosing an evaluation framework depends on visibility depth, licensing, and infrastructure control.

Building AI agent evaluations requires measuring entire action sequences, not just final outputs.

Coordinating distributed workflows requires visibility and control, not just automation.

Shared channels make AI coding agents visible.

Regulatory standards demand human sign-off at each stage, not autonomous agent deployment.

Fine-tuning teaches coding models your team's dialect, not just programming basics.

Each editor gives AI coding agents a different view of your code and what it can do.