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Cognition (Devin)

AI software engineer agent for complex coding and data tasks

Devin is an AI software engineer built by Cognition that focuses on automating software engineering and related data work. According to Cognition’s blog, teams use it for tasks like .NET Framework to .NET Core migrations and data analysis. It targets engineering-focused organizations that want to scale their development capacity with agentic automation.

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About

What It Is

Devin is an AI software engineer agent developed by Cognition, an "Agent Lab" focused on applied AI for software development. It’s positioned as a coding-focused AI agent rather than a general-purpose chatbot, aimed at teams that want to automate substantial parts of software engineering and related analytics work.

From Cognition’s public posts, Devin is used by companies ranging from product startups to large enterprises. Blog case studies describe Devin handling tasks like automating .NET Framework to .NET Core migrations and acting as a data analyst. There is a hosted web application at app.devin.ai, and Cognition also discusses underlying agent models (such as SWE-1.5) and retrieval systems (like SWE-grep) that power its behavior, though the exact user-facing setup and required integrations are not fully detailed on the main site.

What to Know

Cognition’s own writing frames Devin as a genuinely agentic system for software engineering: it’s intended to take on multi-step, real-world coding and data tasks rather than just generating code snippets in a chat window. Blog posts reference an "Agent Preview" built on Sonnet 4.5 and an in-house agent model (SWE-1.5), suggesting active R&D to improve speed, context retrieval, and reliability for engineering workflows. Large enterprises, including Infosys, are highlighted as partners using Devin to expand engineering capacity.

However, the main marketing page provides very few concrete details. The exact feature set, how you configure projects, what tools Devin can access, and how it integrates with existing code hosting or CI systems are not clearly described here. Privacy, security, and data-handling practices are also not documented on this page. If you need a simple, general-purpose assistant for everyday tasks, Devin is likely overkill and not focused on your use case. If you’re evaluating it for serious engineering or data work, you’ll need to rely on the separate Devin site and blog posts for specifics and may need to contact Cognition directly for technical and pricing details.

Key Features
AI software engineer agent focused on coding tasks rather than general chat
Supports software engineering workflows such as .NET Framework to .NET Core migration (per Cognition’s case study)
Can be used as a data analyst agent in real-world company workflows (e.g., Eight Sleep case study)
Enterprise-focused deployment, with partnerships like Infosys to expand engineering capacity and scale AI use in large organizations
Backed by dedicated agent models optimized for software engineering, such as Cognition’s SWE-1.5 (per their blog)
Use Cases
Automating migration of legacy .NET Framework applications to .NET Core using an AI agent instead of manual engineering effort
Augmenting software development teams at enterprises to increase engineering capacity without hiring at the same pace
Using Devin as a data analyst to query, analyze, and interpret business or product data (as described in the Eight Sleep case study)
Agenticness Score
12/ 20
Level 3: Advanced

Significant autonomy on complex workflows

Overall, Cognition’s Devin appears to be a strongly agentic coding system: an AI software engineer that can operate over large codebases, participate in multi-step engineering workflows, and act as a collaborative teammate in real-world environments. It demonstrates strong action capability and autonomy for software tasks, with moderate adaptation, state continuity, and safety inferred from enterprise use and research focus. Based on the rubric, this places Devin around Level 3 (advanced agent with significant autonomy), though some dimensions are scored conservatively due to limited explicit technical detail in the provided content.

Score Breakdown

Action Capability
3/4
Autonomy
3/4
Adaptation
2/4
State & Memory
2/4
Safety
2/4

Categories

Pricing
  • Pricing not publicly available
Details
Website: cognition.ai
Added: January 13, 2026
Last Verified: January 15, 2026
Agenticness: 12/20 (Level 3)
Cite This Listing
Name: Cognition (Devin)
URL: https://agentic-directory.onrender.com/t/devin-ai
Last Updated: January 29, 2026

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