As code generation gets easier, code review is the new bottleneck. That's why we're launching a new way to quickly review and understand complex PRs in our latest tool for codebase understanding - augmenting human attention with AI.
Infosys, a global leader in digital services and consulting, has partnered with Cognition to deploy Devin, the AI software engineer, across its organization and global client base.
Eighteen months since launch, Devin’s gone from tackling small projects, to deeply embedding in engineering teams at thousands of companies, including some of the largest businesses in the world. We decided it was well past time for Devin to get a performance review - just like any human engineer.
Codemaps is meant to offer a shared understanding of a system between humans and AI, enabling your AI to teach you about the code you are looking at quickly and elegantly. A codemap can be generated about any system or snippet to illuminate its code paths, helping users learn and recall. Codemaps allows AI to be a partner that explains code in an accurate and consistent way, rather than generating tons of inscrutable slop.
Today we’re releasing SWE-1.5, the latest in our family of models optimized for software engineering. It is a frontier-size model with hundreds of billions of parameters that achieves near-SOTA coding performance. It also sets a new standard for speed: we partnered with Cerebras to serve it at up to 950 tok/s – 6x faster than Haiku 4.5 and 13x faster than Sonnet 4.5. SWE-1.5 is now available in Windsurf!
Engineering teams dread migrating from .NET Framework to .NET Core. However, autonomous coding agents are rapidly changing the previously known timelines. What once took months, teams are now finishing in as little as two weeks — with Devin.
We trained SWE-grep and SWE-grep-mini, fast agentic models specialized in highly parallel context retrieval. They match the retrieval capabilities of frontier coding models, while taking an order of magnitude less time. Available now in Windsurf’s new Fast Context subagent, and our new SWE-grep demo playground!
Today we're releasing Claude Sonnet 4.5 in Devin, alongside our new Devin Agent Preview that's over 2x faster and 12% better on our Jr. Developer Evals.
We rebuilt Devin for Claude Sonnet 4.5. The new version is 2x faster, 12% better on our Junior Developer Evals, and it's available now in Agent Preview. For users who prefer the old Devin, that remains available.
Cognition has raised over $400M at a $10.2B post-money valuation led by Founders Fund. Other existing investors are similarly doubling down including Lux Capital and 8VC (who jointly led our previous round), Neo, Elad Gil, Definition Capital, and Swish VC. We’re also joined by new investors including Bain Capital Ventures, Hanabi Capital, and D1 Capital.
Building the future of sleep requires us to make data-driven product, operations, and finance decisions. But as a small team, we faced a challenge every scaling company knows well: the flood of random data asks. We needed leverage. So we hired an analyst who never sleeps: Devin AI.
Our #analytics Slack channel looks completely different than it did a year ago. Like most companies, we used to struggle with analytics. Even seemingly simple questions like "Why is enterprise plan revenue spiking for this cohort?" led to ping chains of doom. Getting answers often took days or weeks. Now, it takes minutes. What changed? We trained our own 24/7 on-demand data scientist.
How modern DevOps teams are replacing legacy CI/CD pipelines and accelerating transformation using AI automation.
You can now connect your favorite MCP servers to Devin.
Cognition has signed a definitive agreement to acquire Windsurf, the agentic IDE.
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.
How we built blockdiff, an open-source tool for rapid block-level diffs and snapshots of VM disks.
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 is here. Get codebase context and answers about any public GitHub repository in seconds.
Open source code maintainers can now apply for free Devin ACUs.
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 🧠