Research
Cognition trains models optimized for software engineering. The challenge is not only improving raw capability, but also shaping agent behavior. Agents should feel fast, simple, and easy to course-correct. They should respond clearly, recover gracefully from mistakes, and remain steerable as tasks become more complex. Our focus is building models that are reliable in real workflows, not just impressive in isolated benchmarks.
Articles
Introducing SWE-Check: 10x Faster Bug Detection
04.14.26Smaller specialized models can match or beat frontier generalists on the tasks they're trained for. Working with Applied Compute, we RL-trained SWE-check, a bug detection model that matches Opus 4.6 on our internal evals while running ~10x faster.
Introducing SWE 1.6: Improving Model UX
04.07.26We're releasing SWE-1.6, our latest model optimized for both intelligence and model UX.
An Early Preview of SWE-1.6 and Research Update
03.01.26We are sharing an early preview of our ongoing SWE-1.6 training run.
Join the Research Team
We’re a small team working on the hardest problems in AI. You’ll work with some of the best researchers and engineers in the field, pushing models to write better code, reason better, and work more autonomously. If this excites you, come build with us.