Greptile, Cursor, and Devin agree that agents should run their code. What they run it against matters.
Summary
This article argues that AI coding agents need to run and verify their own code at runtime before handing changes to humans. It says static checks and mock-based tests are not enough for cloud-native systems because many defects only appear in integration, performance, or real-service interactions. It highlights tools from Greptile, Cursor, OpenAI Codex, and Devin as examples of the shift toward sandboxed execution and runtime validation. It then argues that the next step is shared, production-like verification environments that test changes against real services instead of isolated stand-ins.
Classifications
industries
Fintech & Banking
applications
Accounting and Taxes
AI Classifications
Labels
Software
Artificial Intelligence
Developer Tools
Linked Companies
Cursor
up to $1M
OpenAI
$25M to $50M
Cognition AI, Inc.
$5M to $10M
Signadot
$1M to $5M
Greptile
up to $1M