Building TREX: An execution layer for AI-powered code review that catches runtime bugs
By
Shlok Mehrotra
Hot, fresh, and worth queueing round the block for.
Summary
Shlok, a software engineer at Greptile, describes building TREX — an execution layer for AI code review that goes beyond static analysis by actually running the code and generating multi-modal artifacts. The article traces the evolution of code review from Michael Fagan's 1976 formal code inspection paper to modern AI-assisted review, arguing that most current AI tools still only read code and miss bugs that only manifest at runtime. TREX addresses this gap by executing code during review, catching runtime errors that static analysis would miss.
Key quotes
· 3 pulledIn 1976, Michael Fagan published a paper introducing formal code inspection at IBM. Developers would print out listings, sit in a room together, and read through the code line by line.
AI tools have made that faster, though most of them are still just reading the code. This approach works for a lot of bugs, the ones that announce themselves plainly in code.
The problem is there's
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