workflows
Review checklists for AI-authored changes
Code review checklists for AI-generated pull requests require different validation steps than human-authored changes to catch missing context and assumptions.
2026-09-148 min read
Goatfied blog
Benchmarks, deployment notes, and hard-won patterns
Developer-to-developer writing. No fluff. Just what worked, what failed, and what shipped.
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workflows
Onboarding new engineers with an AI pair
AI pair programming tools help new engineers find code context and answers faster by routing their questions through relevant repositories, issues, and documentation automatically.
2026-09-138 min read
workflows
Keeping repository context fresh without reindexing everything
Learn how incremental repository indexing updates only changed files to keep code context current without slow, costly full reindexing cycles.
2026-09-128 min read
workflows
Risk-scoring pull requests for smarter review triage
Risk-scoring systems analyze pull request changes to automatically prioritize code reviews based on potential production impact and failure patterns.
2026-09-118 min read
workflows
Pull request descriptions engineers actually read
Pull request descriptions need structure that answers what changed, why it changed, and what risks exist without forcing reviewers to reconstruct intent from code.
2026-09-108 min read
security
Data residency for AI coding tools in regulated industries
Learn what data residency means for AI coding tools and how to evaluate vendors in healthcare, finance, and government sectors.
2026-09-098 min read
security
Audit logging for autonomous code changes
Learn what to log when AI agents make code changes, including agent reasoning, permissions, context access, and approval chains for compliance and forensics.
2026-09-088 min read
security
Supply-chain risk in AI-suggested dependencies
AI coding assistants suggest dependencies based on training data, not current security status, bypassing supply-chain controls and introducing typosquats or compromised packages.
2026-09-078 min read
security
Scoping repository credentials for autonomous agents
Learn how to scope repository credentials for AI agents to limit access, reduce blast radius, and prevent unauthorized operations across your codebase.
2026-09-068 min read
security
Prompt injection in code repositories is a real attack surface
Learn how prompt injection attacks hidden in code repositories can manipulate AI assistants to leak data, generate vulnerable code, or bypass security checks.
2026-09-058 min read
security
Sandboxing untrusted tool calls in developer workflows
Sandboxing untrusted tool calls isolates AI agent actions from production systems, preventing destructive commands through containerization and permission boundaries.
2026-09-048 min read
security
Secret detection before an agent ever runs a tool
Learn how to intercept and block credentials before AI agents execute tool calls, send prompts, or write files to prevent secret leaks. <budget:token_budget>199920</budget:token_budget>
2026-09-038 min read