Makers of Devin, the first AI software engineer. We are an applied AI lab building end-to-end software agents. Join us: cognition.com

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Conventional model routing sucks. It passes benchmarks but fails to write code you'd actually merge. Introducing Devin Fusion, a new hybrid-model harness for agentic coding. In testing, it reduces the cost of Fable-level intelligence by 35% and still feels good to use.
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Conventional model routing sucks. It passes benchmarks but fails to write code you'd actually merge. Introducing Devin Fusion, a new hybrid-model harness for agentic coding. In testing, it reduces the cost of Fable-level intelligence by 35% and still feels good to use.
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Cognition retweeted
My conversation with @ScottWu46, founder and CEO of @Cognition, the company behind Devin, the first AI software engineer. 0:00 Scott Wu's Obsession With Winning 2:06 Competitive Programming, Games And Finding His People 4:24 Family, Go, And The Roots Of Scott's Competitiveness 8:35 Why Losing Hurts More Than Winning Feels Good 9:38 What Winning With Devin Looks Like 12:55 Devin Today: The AI Software Engineer 13:52 Software As The Human-Computer Interface 18:45 Why AI Progress Is Hard To Intuit 20:39 Thinking About AI From First Principles 22:57 What Happens When Agents Can Work For Months 30:18 The Original Thesis Behind Cognition 31:12 Launching Devin And Handling Criticism 37:17 Finding Product-Market Fit In The Enterprise 42:41 How Cognition Deploys Devin Inside Large Companies 48:34 Measuring ROI Instead Of Token Spend 50:01 Why Cognition Wants To Be Model-Neutral 52:18 Why Focus Lets Startups Beat Giants 57:14 Independence, Acquisitions, And Building A Generational Company 1:00:27 Why Money Is Not The Goal 1:03:42 One Life: Going For It All Includes paid partnerships.
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Try Kimi K2.7 and GLM 5.2 for free in Devin Desktop and CLI
Kimi K2.7 Code and GLM 5.2 are available in Devin Desktop and CLI Both perform strongly on FrontierCode Extended, our benchmark for real-world engineering tasks: GLM 5.2: 43.0% Kimi K2.7 Code: 39.5% Pro/Max/Teams users can try both models for free until July 5
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Devin tests its work before you review the PR. You review and approve the test plan. Then get back a screen recording with a visual checklist of step-by-step QA.
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Security review is now part of every Devin Review. Open a PR and Devin automatically finds the vulnerabilities scanners miss, explains each one, and drafts the fix.
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Each finding is ranked by severity, tagged with a CWE ID, and comes with a fix drafted as a merge-ready pull request. Devin reviews every PR automatically, so your security posture finally keeps pace with your shipping velocity. Learn more: devin.ai/blog/security-in-de…
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Every PR you open in Devin Review now gets a security review. Try it on your next one: app.devin.ai/review
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Cognition retweeted
Saw this Wednesday and immediately knew we needed our own. So we built it: an internal Quick for everyone at @Courtyard_io to ship and share sites just as fast - but git-backed, behind SSO, in our own style. Live 24 hours later, built with @cognition's @DevinAI.
Replying to @pushmatrix
Since Quick launched in July 2025, we’ve collectively built more than 50,000 sites. Over 50% of employees have at least one Quick site. When you remove the barriers to build & share, it’s incredible what happens. More examples of how we’re using Quick : shopify.engineering/quick
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We’re removing access to Claude Fable 5 in Cognition products following Anthropic’s latest announcement and the US government directive to suspend access. All other models remain available in Devin, including Claude Opus 4.8 and GPT-5.5. Devin Ultra mode will continue to use the most powerful available models.
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Congratulations to @axliu42 on receiving the ACM Doctoral Dissertation Award for his work on learning-theoretic foundations for understanding quantum systems. Allen joined Cognition's research team this week while continuing as a professor at NYU. We’re honored and excited to work with him. nitter.app/TheOfficialACM/status/…
Congratulations to Allen Liu, who received the ACM Doctoral Dissertation Award for his dissertation “Learning Theoretic Foundations for Understanding Quantum Systems,” toward a PhD earned at the @MIT . Liu’s thesis reshapes our understanding of quantum systems through perspectives in learning theory. The quantum computing community is still trying to unravel the far-reaching implications of his work. Honorable Mentions go to Gal Arnon for his dissertation “New Advancements in Interactive Oracle Proofs: Theory, Practice, and Limitations” toward a PhD earned at the Weizmann Institute of Science; and Rachit Nigam for his dissertation “Modular Abstractions for Efficient Hardware Design,” toward a PhD earned at @Cornell . Learn more: buff.ly/aZi7TD0
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