Goatfied blog
Developer-to-developer writing. No fluff. Just what worked, what failed, and what shipped.
agent-loop
A validation checklist for autonomous AI coding agents covering constraint checks, testing gates, and code review steps before shipping to production.
benchmarks
First-pass compile rate measures whether AI-generated code builds without manual fixes, revealing which coding assistants actually save time versus create debugging work.
workflows
Learn how to set up branch strategies and automation for AI agents that write code and open pull requests without manual developer intervention.
security
Learn how to implement policy controls for coding agents including repository permissions, secret detection, approval gates and audit workflows to maintain enterprise security compliance.
workflows
AI-powered quality gates catch mechanical issues before code review, reducing round-trips so human reviewers can focus on logic and design.
refactoring
Learn how AI-powered codemods automate large-scale refactoring across entire repositories with guardrails for safety and consistency.
deployment
Learn how to build a self-hosted vLLM coding assistant stack with model selection, hardware setup, client integration, and observability configuration. '<end>
workflows
Autonomous coding agents need filesystem restrictions, validation checkpoints, and review triggers to operate safely without constant human oversight.
benchmarks
First-pass compile rate measures how often AI-generated code compiles and passes static checks without human intervention in real codebases.
workflows
AI tools help identify patterns in intermittent test failures by correlating logs, environmental factors, and code changes to surface root causes faster than manual triage.
workflows
Automated changelog generation extracts PR metadata like titles, labels, and commit prefixes to build release notes without manual copy-pasting.
workflows
Test generation should analyze existing tests and code structure to create new tests targeting uncovered branches, error paths, and edge cases rather than redundant happy-path scenarios.
