Devin

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Devin, mentioned 34 times across podcast episodes and expert conversations analyzed by Sonic.

What Devin has said

Cognition, the company that created Devin, has developed a new coding benchmark named FrontierCode.

neutral·Jack Clark

On the SWE-Bench benchmark, GPT-4's performance jumps from approximately 2% to a range of 14-23% when using Devin's agent scaffolding.

bullish·Leopold Aschenbrenner

One of the first successful tasks performed by an early version of Devin was automatically diagnosing and fixing a complex MongoDB setup issue.

bullish·Scott Wu

Cognition, the company that created Devin, has developed a new coding benchmark named FrontierCode.

Official sourceJack ClarkJul 29

On the SWE-Bench benchmark, GPT-4's performance jumps from approximately 2% to a range of 14-23% when using Devin's agent scaffolding.

Expert perspectiveLeopold AschenbrennerJul 28

One of the first successful tasks performed by an early version of Devin was automatically diagnosing and fixing a complex MongoDB setup issue.

Expert perspectiveScott WuJul 27

The initial concept for the Devin coding agent was developed at the end of 2023.

Expert perspectiveScott WuJul 27

Approximately 95% of the code for the Devin agent is written by Devin itself.

Expert perspectiveScott WuJul 27

The first task demonstrated by Cognition's AI agent Devin involved spinning up a MongoDB instance.

Expert perspectiveMolly O'SheaJul 20

A key capability of Devin is its ability to remember how to set up a development environment once and then reuse that knowledge for subsequent tasks.

Expert perspectiveJared ZoneraichJul 12

Devin has a feature called DeepWiki that automatically creates documentation for a company's codebase.

Expert perspectiveJared ZoneraichJul 12

The most common way users interact with Devin is through Slack and other automations.

Expert perspectiveJared ZoneraichJul 12

Devin automatically routes tasks to the best available model, removing the need for users to select a model manually in the cloud interface.

Expert perspectiveJared ZoneraichJul 12

In Devin's architecture, each child agent runs in its own dedicated virtual machine, complete with its own computer, display, and ability to test its own code.

Expert perspectiveJared ZoneraichJul 12

The Devin platform is architected as a cloud-native, asynchronous system from day one.

Expert perspectiveJared ZoneraichJul 12

Devin is particularly effective for "brownfield" tasks such as large-scale code migrations, increasing test coverage, and other forms of developer "grunt work."

Expert perspectiveJared ZoneraichJul 12

More Devin agents are now launched programmatically or by other Devin agents than by human users.

Expert perspectiveJared ZoneraichJul 12

Devin is a compound model system that dynamically selects the optimal model for a given task from providers including Anthropic, OpenAI, and Google, as well as Cognition's proprietary and open-source ...

Expert perspectiveScott WuJun 28

At the time of its launch, Devin achieved a 13% success rate on the SWE-bench benchmark, surpassing the previous state-of-the-art performance of 3-4%.

Expert perspectiveScott WuJun 28

The first complex task Devin successfully completed was setting up a MongoDB database by autonomously debugging a series of errors.

Expert perspectiveScott WuJun 28

At its launch in March 2024, Devin was a prototype and not yet a production-ready product.

Expert perspectiveScott WuJun 28

Teams using Devin ship products 10 times faster and accomplish 10 times more work.

Expert perspectiveScott WuJun 28

The long-term vision for Devin is to become the primary interface through which humans tell their computers what to do.

Expert perspectiveScott WuJun 28

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