The agent validates its own work via a layered harness (build, static analysis, architecture, tests, coverage, mutation, contract, security) instead of relying on a human to inspect every line.

Abstract: Software testing is one of the key activities to achieve software quality in practice. Despite its importance, however, we have a remarkable lack of knowledge on how developers test in ...

Learn why spec-driven development helps AI coding agents produce reliable software through structured specs, workflows, ...

In a recent article, Datadog engineer Arnold Wakim shared what worked, what didn't, and the lessons they learned while ...

Most widely cited AI coding benchmarks, including the original SWE-bench, were built primarily around Python repositories, meaning headline performance results may not accurately predict how coding ag ...

For most of the industry’s history, the lever for semiconductor performance gains was process-node scaling. That is no longer the whole story. As one recent industry analysis put it, advanced ...

I am fascinated about the idea of building intelligent systems that can help humans (and why not, other intelligent agents) on their daily tasks. This goal is ambitious, challenging, inspiring, and ...

We completely rewrote the Python-based MoAI-ADK (~73,000 lines) in Go.