Cognition AI Blog
cognition.ai/blog
Coding Agents 101: The Art of Actually Getting Things Done
The year is 2025. Coding agents aren't magic, but they're about the closest thing we have. We've noticed some engineers, in particular at the senior-to-staff level, finding success faster than others. Here we share some top lessons sourced from the experience of our customers and ourselves.
Don’t Build Multi-Agents
Frameworks for LLM Agents have been surprisingly disappointing. I want to offer some principles for building agents based on our own trial & error, and explain why some tempting ideas are actually quite bad in practice.
The DeepWiki MCP Server
The DeepWiki MCP server is here. Get codebase context and answers about any public GitHub repository in seconds.
Devin 2.1
We’re announcing some major changes in Devin 2.1. Devin now reports its confidence that it can complete tasks using 🟢 🟡 🔴 and is more likely to succeed in large codebases with better codebase context 🧠
Kevin-32B: Multi-Turn RL for Writing CUDA Kernels
We explore reinforcement learning in a multi-turn setting, using intermediate feedback from the environment, and masking model thoughts to avoid exploding context over multiple turns.
DeepWiki: AI docs for any repo
Turn any public GitHub repo into up-to-date documentation you can talk to, for free.
Devin 2.0
Introducing an agent-native IDE experience and a new Core plan starting at $20.