Code Agent Review — Page 2

Structured checkpoints stop agents from acting autonomously on high-risk steps.

Agents can execute thousands of actions with oversized permissions before policy even catches up.

Agents make judgment calls, so logs must capture reasoning, not just outputs.

Engineers unknowingly leak source code and secrets to AI tools IT can't see or control.

SSE wins for most LLM streaming, but agents need WebSocket's two-way channel.

How to structure multiple agents so they actually work in production.

A shared vocabulary for agent patterns helps teams spot failure modes before shipping to production.

Agents compress hand-offs across planning, code, testing, and ops into a continuous pipeline.

Why agent workloads break cache assumptions built for single-turn inference.

Data residency and quality monitoring drive self-hosted observability adoption.

Agent adoption boosts productivity but breaks review processes designed for human-scale code.