99 articles - page 3 of 9
Steve Yegge's response to AI-generated pull requests suggests a better maintainer workflow: automate triage, repair good ideas, and keep human taste at the boundary.
GitHub's stacked pull requests went into public preview on July 30. Stacks turn one large change into an ordered chain of small, reviewable PRs with one-click merge, plus a gh-stack skill for coding agents.
Vercel cut end-to-end deployment time by up to 7 seconds, removing 5 seconds of fixed platform overhead from every build and up to 2 more seconds from the CLI path. Here is exactly where the time went and what it means for your CI loop.
The late-July Codex and Claude Code updates point in the same direction: coding agents are competing on approval modes, resumable work, MCP auth, artifacts, and review surfaces as much as raw model quality.
The DataFlow-Harness paper is a useful reminder that coding agents should not just emit scripts. For data work, the durable artifact is an editable, validated pipeline.
SWE-Pruner Pro points at a practical coding-agent design shift: do not only compress prompts outside the model. Teach the runtime to prune tool outputs before they become the next turn's context.
Microsoft's Resource2Skill paper points at the next agent-skills problem: converting videos, repos, articles, and reference artifacts into executable skills without losing provenance.
GitHub Spec Kit and gstack are trending for the same reason: coding agents need durable specs, plans, and task ledgers more than another one-shot prompt.
A July 2026 paper from Tencent Hunyuan turns agent harnesses into behavior-level maps. The useful lesson for builders is simple: code search is not enough when one behavior spans prompts, tools, state, permissions, and runtime policy.
SkillHone is a July 2026 paper about evolving agent skills across sessions. The useful takeaway for developers is simple: do not save only the latest SKILL.md. Save the decisions that explain why it changed.
StateM pushes Terminal-Bench 2.1 to 95.3% raw accuracy by scaling the harness around the model. The lesson for coding-agent teams is that runbooks, state, and recovery loops now matter as much as model choice.
A Microsoft field study found that CLI coding-agent adoption spreads through peers and managers, while adopters merged roughly 24% more pull requests. The lesson is not to buy more seats. It is to instrument rollout, retention, cost, and review quality from day one.
Showing 25-36 of 98 articles
New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.
Explore 823 topics
Browse All Topics