# Southwest Airlines scales spec-driven agentic workflows with version-controlled specs, AI guardrails and self-healing code quality.

Mahima, a senior software engineer at Southwest Airlines, explains how her team scaled agentic workflows for developer productivity in a safety-critical engineering environment by shifting from prompt-based coding to spec-driven development. The central lesson is that AI agents become more reliable when they work from version-controlled, repository-backed specifications that preserve business logic, design decisions, and architectural intent, rather than guessing from incomplete prompts. That change helped cut some production incident analysis and resolution from hours or days to about 20 minutes and also improved merge conflict resolution by grounding decisions in documented intent. To keep specs trustworthy at scale, the team built a pre-PR guardrail that checks spec-to-code, code-to-spec, and spec-to-spec contradictions, drift, and staleness using diff-scoped verification. They also added a self-healing code-quality workflow that uses SonarQube and event-driven hooks to fix violations during development, plus a provisioning agent that automatically distributes AI standards, hooks, and domain-specific files across more than 50 repositories.