Tag

Coding Agents

10 articles

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Creative Tooling

Figma's Agent Skills Sell Personalization the Data Doesn't Back

Figma's 13 August skill-authoring launch is pitched on capturing personal taste, but a study three days earlier found generic skills beat personalized ones.

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Development

SWE-Touch: The Edit You Make While an Agent Still Runs

SWE-Touch's 3 August 2026 benchmark found resolve rates fall 7.7 points on average when a user edits code an agent is still working on, and the agent often finishes anyway.

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Development

Merge Rate Became AI Coding's Scoreboard, and It Doesn't Agree

Four 2026 studies score coding agents by pull-request merge rate, but rankings flip between papers, suggesting the metric tracks the repo, not the agent.

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Design Engineering

Design Systems Need Evals to Check if AI Agents Obey Them

A practitioner argues design systems need CI-run evals, since evidence on AI instruction-following suggests agents may ignore documented rules more than teams assume.

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Development

GitHub Copilot's Two Modes Work Great Separately, Badly Together

A July 2026 field study finds mixing Copilot's autocomplete and chat modes in one task erodes their gains, even as Microsoft logs a durable 24% PR lift.

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Development

GhostCommit Shows AI Reviewers and Agents Don't See Alike

GhostCommit hides prompt injection inside a PNG that AI reviewers skip and coding agents read, exposing a harness-level blind spot rather than a broken model.

Creative Tooling

DESIGN.md Turns Brand Identity Into a Forkable File

Community projects now package Apple, Stripe and Nike's visual identity into MIT-licensed DESIGN.md files that any coding agent can install to generate on-brand UI.

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Development

Open Source's No-More-Pull-Requests Moment

Ladybird, tldraw, and the whole Jazzband collective have stopped taking public pull requests. It isn't a verdict on AI code quality — it's open source rebuilding its trust model from scratch.

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Development

The End of Code Review, or Just Its Relocation?

A provocative paper declares human code review obsolete now that agents can do it faster. The evidence suggests something narrower and more interesting is actually happening.

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Development

FrontierCode: The Benchmark That Asks Whether AI Code Is Ready to Merge

A new benchmark built with more than 20 open-source maintainers deflates the record-breaking numbers behind coding agents: even the best model clears only 13% of the hardest tasks.