Join our daily and weekly newsletters for the latest updates and exclusive content on our industry-leading AI coverage. He learns more
last year, perception The AI agent wave started with a product called Devin – The first artificial intelligence engineer in the world. The show has been under wraps for months, but is now generally available and learns new elements very quickly. Case in point: The Scott Wu-led startup just released Devin 1.2, which brings a bunch of new capabilities to take an AI engineer’s ability to handle entire development projects to a whole new level.
The highlight of Devin 1.2 is improved context logic, making the agent better at handling and reusing code. It also includes the ability to receive voice messages via Slack, giving users a more seamless way to tell Devin what to do.
This development comes at a time when AI-powered agents are being promoted as the future of modern work. Experts believe that there will soon come a time when humans and agents will work together, with the former seamlessly handling repetitive tasks (which is already starting to happen). Recently, at CES, Nvidia President Jensen Huang He said In the future, enterprise IT departments will evolve into AI “HR departments,” responsible for commissioning and maintaining agents working across different functions within the company.
What does Devin 1.2 bring to the table?
Although it’s not a huge upgrade, Devin 1.2 offers some interesting capabilities to make the agent better at its job. The first advantage here is the improved ability to think about context in the code repository. This basically means that Devin can now better understand the structure and content of the repository.
With this understanding, the agent can identify the file relevant to a particular task, recognize and reuse existing code and patterns, and be more accurate in suggesting modifications or creating pull requests (PRs), reducing errors and manual modifications.
For developers, this capability means speeding up workflow and reducing the cognitive load of searching for files, understanding code bases, or fixing inconsistent code.
Another notable update with Devin 1.2 is the introduction of voice messages. Devin can also take voice commands from users via Slack.
All you have to do is tag Devin in a Slack chat, hit the “record audio” button and describe the task or feedback the AI engineer should perform. Devin will set up a step-by-step action and start executing the command using his developer tools – his own wrapper, code editor, and browser.
This move simplifies how a person interacts with an agent, saving the hassle of typing natural language prompts into Devin’s chatbot-style interface.
Improved login process and new enterprise controls
Realization has also made some usability improvements in Devin.
For example, in the new release, the company is introducing automated snapshots to simplify the Devin Workspace login process.
“If you sign in to Devin during setup using the Devin browser, we’ll save a cookie for future sessions (if the cookie expires, you’ll need to provide your Devin credentials in Secrets as well). This also unblocks authentications that require visiting an address URL on Devin’s device,” the company wrote in a message Blog post.
Cognition also offers enterprise accounts, where enterprise administrators will get a central console to manage multiple Devin workspaces, including members and their access controls, as well as billing them.
Finally, the company is adding a usage-based billing model, allowing users to pay for additional capacity beyond their subscription limits. This way, once users exhaust their monthly allotment of ACUs, they can continue to build beyond that limit by paying for additional usage.
The model has been active since January 9, where users can set their own additional usage budgets according to their needs. This allows users to maintain control of spending while ensuring service is not interrupted when they need additional capacity.
Currently, Devin is generally available for engineering assistance starting at $500 per month – with no seat limits. Many organizations are already integrating it into their workflow, including Lumos, OpenSea, Curai Health, Nu Bank, and Ramp.
Devin’s new capabilities come as competition in the field of AI engineering heats up. From widespread adoption of GitHub Copilot to Magic and Poolside AI raising significant funding to develop cutting-edge capabilities, the race to create the ultimate AI coding assistant is heating up. Each player strives to redefine software development, promising faster workflow, reduced cognitive load, and seamless human-AI collaboration.
As these AI-powered agents continue to evolve, they are not only changing the way developers work, but shaping the future of modern work itself, where efficiency and innovation are driven by the partnership between humans and machines.
By 2028, Gartner It is estimated that 33% of enterprise software applications will include agentic AI, enabling autonomous decision-making in 15% of daily work.
