High Bit Greptile: AI vs. Human Review: Why Machines Are Catching the Bugs We Can’t
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Aug 28, 2025 Daksh Gupta, co-founder and CEO of Greptile, reveals how AI is transforming code review and bug detection. He argues that human reviews are often insufficient and explains why separating code generation from code review is crucial. The conversation dives into the complexities of teaching AI to discern between minor and severe issues. Gupta warns that companies resisting AI adoption risk falling behind, while exploring the future relevance of code legibility in an AI-driven world. This insightful discussion highlights the need for a fundamental shift in software practices.
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Context Matters More Than Isolated Diffs
- Greptile teaches LLMs to review pull requests with full repository context to surface bugs and enforce best practices.
- Deep cross-file context is essential because the hardest bugs require reasoning across many files.
Human Code Review Is Often Ineffective
- Human code review often functions as political theater and misses many real issues.
- Automating diligent code validation with AI can outperform typical human review at finding bugs.
AI Makes Just-In-Time Testing Practical
- Intelligence scarcity shaped testing practices like unit tests and QA; abundant AI changes that calculus.
- Now we can generate just-in-time tests for code changes instead of maintaining exhaustive test suites.