AI Writes More PRs. Who Validates Them? — Ali-Reza Adl-Tabatabai, Sonar
The increasing volume and complexity of AI-generated code are transforming traditional CI and code review into a critical bottleneck. The solution presented is 'agentic validation,' an automated system that fully manages the PR lifecycle. This agent reviews code, analyzes CI failures (including flaky tests), automatically fixes issues until the PR is green, and can auto-approve and auto-merge based on customizable rules. The most advanced approach combines this agentic validation with deep program analysis (e.g., taint analysis, control flow analysis) for superior precision and coverage.
Key takeaways
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The CI/Code Review Bottleneck
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As engineering scales and AI generates more, larger PRs, the centralized validation phase becomes a major bottleneck, leading to costly delays measured in hours and days. Teams face a difficult choice: slow down or risk production incidents by rubber-stamping.
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Agentic Validation Workflow
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An agent automates the entire validation process: it reviews PRs, posts actionable issues, analyzes CI failures, automatically fixes code, and can auto-merge PRs once defined rules and conditions are met.
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Building Trust and Automation
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The adoption path is gradual: users first implement automated reviews, then use autofix capabilities to achieve green PRs, and finally establish rules for the agent to automatically approve and merge PRs.
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Advanced Insights for Teams
The system provides valuable insights, such as categorizing top CI failures (e.g., flakiness vs. infrastructure issues) for platform teams, and categorizing PRs by intent (e.g., feature vs. chore) for leadership.