Preparing Specs for AI Coding Agents
How to give AI coding agents the right context, boundaries, examples, and validation criteria before they start changing a repository.
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News, updates, and insights about AI-powered software development.
How to give AI coding agents the right context, boundaries, examples, and validation criteria before they start changing a repository.
How engineering teams can turn bounded issues into AI runner work that produces reviewable branches, pull requests, CI evidence, and human-controlled merge decisions.
How runner summaries help teams verify AI-generated code work through task input, model audit, pull requests, CI, and reviewable Git artifacts.
Why AI engineering throughput depends on tasks, pull requests, CI evidence, review gates, and artifacts teams can measure.
How Forkline separates model choice from runner execution so teams can use their own providers while keeping repo work reviewable.
· Alexander Gil Casas
Forkline ingress-nginx now tracks NGINX 1.30.1 to address CVE-2026-42945 and keep existing ingress-nginx installations on a maintained path.
How AI runners can turn a red GitHub Actions run into a reviewable fix without hiding the work.
· Alexander Gil Casas
Private AI coding tools help individuals. Forkline runners make AI work visible company infrastructure: tickets, repos, CI, and review.
· Alexander Gil Casas
Forkline is now in production. Connect your repositories and start delegating work to AI agents today. No infrastructure needed. No lock-in. Just results.