Devin
Unclaimed verified 26 aug 2026The AI Software Engineer
TL;DR
Devin by Cognition is an autonomous AI software engineer designed to plan, code, test, and ship production-ready pull requests independently. Built for engineering teams and individual developers, it handles multi-repo tasks ranging from routine bug fixes and migrations to full feature development. Its key differentiator is its isolated cloud sandbox environment complete with a shell, code editor, and headless browser for autonomous runtime verification.
What Users Actually Pay
No user-reported pricing yet.
Our Take
Devin represents a shift from interactive code-completion plugins toward fully asynchronous, autonomous engineering agents. Rather than suggesting line-by-line completions within a local IDE, Devin operates as an independent contributor: it clones repositories, analyzes architectural dependencies via codebase indexing (DeepWiki), formulates an execution plan, edits files, executes test suites in a real runtime sandbox, and submits pull requests. In real-world testing and team deployments, Devin performs best on well-bounded, mechanical, and medium-complexity tasks. Engineering teams report notable velocity improvements when delegating legacy refactors, dependency updates, deterministic bug fixes, and unit test generation. Its multi-agent orchestration capabilities ('MultiDevin') allow teams to fan out multiple parallel workers across broad backlogs without consuming local developer machine resources. However, Devin is not an unrestricted replacement for senior engineering oversight. When handed ambiguous, open-ended architectural problems or projects lacking clear constraints (such as AGENTS.md instructions or explicit acceptance criteria), it can drift off-course or generate solutions that require substantial human review. Devin is best suited for mid-to-large engineering organizations and fast-moving teams that maintain well-structured codebases, clear issue specifications, and established CI/CD pipelines ready to absorb and review agent-driven pull requests.
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Pros
- + Autonomous end-to-end execution across terminal, editor, and browser environments for genuine self-testing and validation
- + Persistent codebase memory and indexing (DeepWiki, AGENTS.md) that build project context over time
- + Fleet orchestration (MultiDevin) allowing concurrent parallel execution of multiple development tasks
- + Deep native integrations with developer workflows including GitHub, GitLab, Linear, Jira, and Slack
Cons
- - Can suffer from context drift or hallucinate incorrect approaches when tasks lack clear boundary constraints
- - Can create a review bottleneck for engineering teams if autonomous PRs are generated faster than humans can review them
- - Programmatic API and high-concurrency enterprise features require dedicated organization-tier compute allowances
Agent Readiness
73/100Devin offers enterprise-grade agent readiness. It exposes a fully documented REST API (v3) backed by OpenAPI schemas and machine-readable llms.txt endpoints. Each agent session runs inside an isolated cloud sandbox equipped with a shell, browser, and runtime tools. Native integrations span the entire software lifecycle—including GitHub, GitLab, Linear, Jira, Slack, Datadog, and MCP servers—enabling seamless programmatic orchestration by upstream AI workflows.
Last checked Aug 29, 2026
MCP Integrations
2 servers3 tools237 total usesNavigate and understand GitHub repository documentation effortlessly by retrieving wiki structures and contents. Get direct answers to specific questions about project wikis to save time searching through manual pages. Streamline the onboarding process by quickly grasping the layout and details of any GitHub project.
3 tools
read_wiki_structureGet a list of documentation topics for a GitHub repositoryread_wiki_contentsView documentation about a GitHub repositoryask_questionAsk any question about a GitHub repository
Local supply-chain CVE scanner via OSV/NVD. Scans deps and IDE extensions. No upload.
Last checked Aug 14, 2026
[ features ]
Geostrategic Position
Information on which part of the world this product / vendor belongs to, i.e. the country of their headquarters primarily, but also their hosting options etc.
Find which geostrategic world region the headquarter is located in. Relevant for compliance questions (e.g., CLOUD Act) or risk of cut-off in case of conflicts. For example, some EU companies are worried about the US and would definitely not host their customer with Chinese or Russian companies.
The hosting provider that is used to host this product, if any.
The available hosting locations, if you can choose
Compliance & Security
Security certifications, compliance features, and access control capabilities.
SOC 2 Type I or Type II certification.
ISO 27001 information security certification.
Built-in tools for GDPR compliance (data export, deletion, consent).
Complete audit log of all data changes.
Granular permissions based on user roles.
Single Sign-On integration support.
Security, Privacy & Support
Features ensuring data protection, quality assurance, and user assistance.
Compliance standards for data security.
Automatic deletion of user photos after processing.
Availability of real-time customer support.
Offers free remakes for unsatisfactory results.
Pricing & Free Tier
Free tier limits and overall pricing structure.
Maximum Monthly Active Users allowed on the free tier.
Key usage metrics that incur costs.
Autonomy & Workflow
Level of autonomous execution and human oversight mechanisms across the SDLC
Can complete multi-step engineering tasks with minimal human intervention
Provides explicit approval gates, oversight dashboards, and workflow governance
Supports running multiple agents simultaneously for concurrent tasks
Automatically learns and retains knowledge from existing codebases over time
SDLC Coverage
Which stages of the software delivery lifecycle the product can handle
Supports ingesting requirements from Jira, Figma, or natural language and generating plans
Generates or edits production code across multiple files
Creates tests, runs test suites, and performs visual or regression QA
Handles deployments, incident triage, runtime monitoring, and observability
Performs pull request reviews and generates documentation
Integrations & Ecosystem
Connections to developer tools, IDEs, and collaboration platforms
Supported code editors and development environments
Native integration with GitHub, GitLab, or other version control systems
Connections to issue tracking and project management tools
Integrations with communication and alerting platforms
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Reviews
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