The Founders Fund-backed San Francisco startup Cognition AI (also known as Cognition Labs) made a name for itself out of nowhere in early 2024 with the release of Devin, its AI-powered software engineer that could work alongside human developers and carry out tasks autonomously through natural language instructions given to them by a human dev through a prompt window or even separate third-party communication app Slack.
But the AI dev landscape has advanced rapidly since then, with many other companies offering similar functionality and autonomous or semi-autonomous coding agents, including GitHub Copilot, AWS Developer Q, Codeium’s Windsurf, and Cursor.
Cognition itself has since its inception leveraged other models, namely OpenAI’s GPT-4 and GPT-4o series, to power Devin.
Now today, Cognition is hitting back with Devin 2.0, an updated version of its agent-native software development platform. It’s unclear what foundation model is powering this version.
The new release is now generally available and introduces a range of features aimed at making collaboration between developers and Devin’s autonomous agent smoother and more productive.
Furthermore, in an age of economic uncertainty and certain cost increases thanks to the new Trump tariffs, Cognition is also providing a welcome relief with a major price drop: Devin 2.0 is available starting at $20 per month minimum ($2.25 per “Agent Compute Unit”, how Cognition measures the compute resources required to run Devin), whereas before, previous versions of the software started around $500 per month.
Parallel Devins and a new cloud IDE
Devin 2.0 builds on Cognition Labs’ earlier efforts to streamline software development by allowing users to work alongside autonomous agents.
The latest version introduces an interactive, cloud-based IDE environment designed to allow users to spin up multiple Devins in parallel, effectively handling numerous tasks at once. Each Devin can work autonomously, with users having the option to step in at any point to review, edit, or guide progress.
Interactive planning and task scoping
A key addition in Devin 2.0 is the introduction of Interactive Planning. This feature allows developers to begin with broad or incomplete ideas and collaborate with Devin to scope out a detailed task plan.
Within seconds of starting a session, Devin automatically analyzes the codebase, identifies relevant files, and proposes an initial plan, even without specific guidance or instructions from the human user.
Users can then review and adjust this plan to ensure alignment before allowing Devin to proceed with execution.
Exploring your enterprise’s codebase
Devin 2.0 also introduces Devin Search, a tool designed to help users understand and navigate their codebases more effectively.
The search function enables developers to ask specific questions about their code, receiving detailed responses that cite relevant code snippets.
For more complex queries that require deeper exploration, users can activate Deep Mode.
Additionally, the new release includes Devin Wiki, a feature that automatically indexes repositories every few hours.
Devin Wiki generates comprehensive documentation that includes architecture diagrams, source links, and other relevant details, offering developers an organized and continuously updated reference.
Efficiency gains and developer control
Beyond new features, Cognition Labs reports that Devin 2.0 delivers improved efficiency.
According to the company, the latest version completes over 83% more junior-level development tasks per Agent Compute Unit (ACU) compared to its predecessor, based on internal benchmarks. Beta users reportedly observed similar performance gains during testing.
Users can interact with Devin 2.0 through a VSCode-inspired interface that allows for reviewing and editing Devin’s work, as well as running tests directly within the platform’s environment. This flexibility supports both hands-on and hands-off workflows, depending on user preference.
A boost from Devin 1.2
In early 2025, the company released Devin 1.2, which included enhancements focused on in-context reasoning and voice command integration. These improvements enabled Devin to better analyze code repositories, recognize patterns, and reuse existing code when appropriate.
Users could also issue instructions via voice messages in Slack, streamlining how they interacted with the agent.
Devin 1.2 also introduced features geared toward enterprise environments, such as machine snapshots to simplify login workflows and centralized admin controls for managing multiple Devin workspaces.
Alongside these functional upgrades, Cognition Labs shifted to a usage-based billing model, allowing customers to pay for additional capacity beyond their subscription limits.
How Devin stacks up now to other AI coding agents and platforms
While Devin’s early releases positioned the platform as an innovative solution for accelerating development workflows, early user feedback highlighted growing pains.
Researchers and testers noted that the agent sometimes struggled with overly complex code, unnecessary abstractions, and inconsistent task performance.
Nevertheless, Devin attracted interest from enterprise customers seeking to incorporate autonomous coding agents into their software development processes.
The new features and capabilities of Devin 2.0 — and a much lower entry price — should be received warmly by devs, and may further uptake of Cognition’s platform by them, even encouraging users to defect from other rival coding tools.
But with GitHub Copilot, Codeium’s Windsurf, and Amazon Q Developer among others all offering free versions of their AI coding assistants, Devin 2.0 faces an increasingly tough set of competitors in a white hot market.
Source: https://venturebeat.com/
