The Founders Fund-backed San Francisco startup Cognition AI (also called Cognition Labs) made a reputation for itself out of nowhere in early 2024 with the discharge of Devin, its AI-powered software program engineer that would work alongside human builders and perform duties autonomously by way of pure language directions given to them by a human dev by way of a immediate window and even separate third-party communication app Slack.
However the AI dev panorama has superior quickly since then, with many different firms providing comparable performance and autonomous or semi-autonomous coding brokers, together with GitHub Copilot, AWS Developer Q, Codeium’s Windsurf, and Cursor.
Cognition itself has since its inception leveraged different fashions, particularly OpenAI’s GPT-4 and GPT-4o sequence, to energy Devin.
Now right now, Cognition is hitting again with Devin 2.0, an up to date model of its agent-native software program growth platform. It’s unclear what basis mannequin is powering this model.
The brand new launch is now usually obtainable and introduces a spread of options aimed toward making collaboration between builders and Devin’s autonomous agent smoother and extra productive.
Moreover, in an age of financial uncertainty and sure value will increase because of the brand new Trump tariffs, Cognition can be offering a welcome reduction with a significant value drop: Devin 2.0 is on the market beginning at $20 per thirty days minimal ($2.25 per “Agent Compute Unit”, how Cognition measures the compute assets required to run Devin), whereas earlier than, earlier variations of the software program began round $500 per thirty days.
What else does Devin 2.0 supply?
Parallel Devins and a brand new cloud IDE
Devin 2.0 builds on Cognition Labs’ earlier efforts to streamline software program growth by permitting customers to work alongside autonomous brokers.
The newest model introduces an interactive, cloud-based IDE atmosphere designed to permit customers to spin up a number of Devins in parallel, successfully dealing with quite a few duties without delay. Every Devin can work autonomously, with customers having the choice to step in at any level to evaluation, edit, or information progress.
Interactive planning and activity scoping
A key addition in Devin 2.0 is the introduction of Interactive Planning. This characteristic permits builders to start with broad or incomplete concepts and collaborate with Devin to scope out an in depth activity plan.
Inside seconds of beginning a session, Devin mechanically analyzes the codebase, identifies related information, and proposes an preliminary plan, even with out particular steering or directions from the human person.
Customers can then evaluation and regulate this plan to make sure alignment earlier than permitting Devin to proceed with execution.
Exploring your enterprise’s codebase
Devin 2.0 additionally introduces Devin Search, a instrument designed to assist customers perceive and navigate their codebases extra successfully.
The search perform allows builders to ask particular questions on their code, receiving detailed responses that cite related code snippets.
For extra advanced queries that require deeper exploration, customers can activate Deep Mode.
Moreover, the brand new launch contains Devin Wiki, a characteristic that mechanically indexes repositories each few hours.
Devin Wiki generates complete documentation that features structure diagrams, supply hyperlinks, and different related particulars, providing builders an organized and constantly up to date reference.
Effectivity beneficial properties and developer management
Past new options, Cognition Labs experiences that Devin 2.0 delivers improved effectivity.
Based on the corporate, the most recent model completes over 83% extra junior-level growth duties per Agent Compute Unit (ACU) in comparison with its predecessor, primarily based on inside benchmarks. Beta customers reportedly noticed comparable efficiency beneficial properties throughout testing.
Customers can work together with Devin 2.0 by way of a VSCode-inspired interface that permits for reviewing and modifying Devin’s work, in addition to operating checks instantly throughout the platform’s atmosphere. This flexibility helps each hands-on and hands-off workflows, relying on person desire.
A lift from Devin 1.2
In early 2025, the corporate launched Devin 1.2, which included enhancements centered on in-context reasoning and voice command integration. These enhancements enabled Devin to raised analyze code repositories, acknowledge patterns, and reuse current code when acceptable.
Customers may additionally situation directions through voice messages in Slack, streamlining how they interacted with the agent.
Devin 1.2 additionally launched options geared towards enterprise environments, similar to machine snapshots to simplify login workflows and centralized admin controls for managing a number of Devin workspaces.
Alongside these purposeful upgrades, Cognition Labs shifted to a usage-based billing mannequin, permitting clients to pay for extra capability past their subscription limits.
How Devin stacks up now to different AI coding brokers and platforms
Whereas Devin’s early releases positioned the platform as an modern answer for accelerating growth workflows, early person suggestions highlighted rising pains.
Researchers and testers famous that the agent typically struggled with overly advanced code, pointless abstractions, and inconsistent activity efficiency.
Nonetheless, Devin attracted curiosity from enterprise clients in search of to include autonomous coding brokers into their software program growth processes.
The brand new options and capabilities of Devin 2.0 — and a a lot decrease entry value — needs to be obtained warmly by devs, and should additional uptake of Cognition’s platform by them, even encouraging customers to defect from different rival coding instruments.
However with GitHub Copilot, Codeium’s Windsurf, and Amazon Q Developer amongst others all providing free variations of their AI coding assistants, Devin 2.0 faces an more and more robust set of rivals in a white scorching market.
