Agentic Index
Anthropic Claude Code vs Cognition (2026)
Claude Code is a developer driven agent you steer from the terminal, and Devin is an autonomous teammate you assign tickets to. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Claude Code gives more control and broader extensibility for engineers in the loop. Devin, from Cognition, is built to take well scoped tasks from Slack, Jira, or Linear to a tested pull request with minimal supervision.
On the Agentic Index coding agent ranking, neither Anthropic Claude Code nor Cognition clears the bar, which asks for all five merge loop capabilities documented in full. Anthropic Claude Code does not document knowledge grounding and RAG in full; Cognition does not document testing, debugging and optimization in full. 2 of the 65 vendors in the lane clear it. See the coding agent ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Anthropic Claude Code and Cognition are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 956 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Anthropic Claude Code if
- You want an engineer directing each session, with plan review, permission gates, and full visibility into every action.
- Extensibility matters: MCP servers, custom subagents, hooks, and an SDK for building your own agent workflows.
- You want usage bundled with an existing Claude plan instead of a separate agent subscription.
Choose Cognition if
- You have a backlog of well scoped tickets and want them turned into draft pull requests while your team does other work.
- Parallelism at scale: Devin runs teams of sub agents on large migrations, the pattern behind its Nubank case study.
- You want the agent reachable where work arrives, tagged in Slack threads and assigned from Jira or Linear.
| At a glance | Anthropic Claude Code | Cognition |
|---|---|---|
| Category | Coding agent | Coding agent |
| Entry price | From $17 per month (Claude Pro, billed annually; $20 monthly) | Free · Pro $20/mo · Max $200/mo · Teams $80/mo + $40/seat · Enterprise custom |
| Free / trial | No free tier for Claude Code: the Claude Free plan does not include it, and no trial is listed. | Free tier: light agent quota, limited model availability, unlimited inline edits and Tab completions. |
| Pricing confidence | public exact | public exact |
| Feature | A Anthropic Claude Code |
C Cognition |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit |
Full / Explicit
Native integrations cover GitHub, GitLab, Bitbucket, Azure DevOps, Slack, Microsoft Teams, Jira, Linear and PagerDuty, and MCP reaches hundreds of other tools and data sources. |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit |
Full / Explicit
Dynamic workflows are Python scripts that orchestrate a team of Devin agents in stages, in parallel on separate VMs, passing structured results between stages. |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit
The GitHub Action runs on any GitHub event or cron schedule without a mention, beside @claude mentions and terminal, desktop, IDE, web and headless runs. |
Full / Explicit
Automations fire on Slack, GitHub, GitLab, Linear, Jira, Pylon, PagerDuty, schedule and webhook events without anyone tagging Devin, and scheduled sessions add recurring work. |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Partial |
Full / Explicit
Devin indexes connected repositories into DeepWiki wikis with architecture diagrams and source links that Ask Devin searches for context. |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit
Auto memory, written by Claude as it works and scoped per repository, persists across sessions until edited or deleted and is browsable and editable through /memory. |
Partial
Knowledge that Devin suggests and users approve is scoped from one repository up to the enterprise and can be disabled, but no lifetime or purge path is documented. |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit |
Full / Explicit
Devin's proposed Knowledge is saved only after a user approves it, AI guardrails can block messages and PR comments before Devin acts, and security profiles apply reusable restrictions. |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit |
Full / Explicit
SOC 2 Type II and ISO 27001 are assessed annually by independent auditors, and Enterprise adds SAML and OIDC SSO, IdP group mapping and custom roles for fine grained RBAC. |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit
OpenTelemetry exports metrics, events and traces with a decision event for every permission prompt and a result event for every tool call, and cloud sessions log all operations for audit. |
Full / Explicit
The session Progress tab shows shell commands, code edits and browser activity step by step after the fact, with Session Insights timelines and guardrail events in audit logs. |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit
Claude Code runs on the developer's own machine by default, cloud sessions run in isolated Anthropic VMs or on the organization's self hosted environments, and data is encrypted in transit but not at rest. |
Full / Explicit
Outposts run Devin sessions on the customer's own VMs, containers, Kubernetes clusters or on premises machines while inference stays in Devin's cloud, and Enterprise adds a Cognition hosted single tenant VPC over PrivateLink. |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Full / Explicit
Plugins bundle skills, subagents, hooks and MCP servers and are browsable in Anthropic's official marketplace, beside bundled skills and built in subagents. |
Full / Explicit
The Devin official marketplace offers integration plugins bundling skills, rules, hooks, MCP servers and subagents that administrators install or require, alongside reusable playbooks. |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
No / Not documented
Every model is Anthropic's: customers choose a Claude model and where it is served, but not the model maker. |
Full / Explicit
Users pick among Anthropic, OpenAI, Google, Cognition and open models by flag, command or config default, and Enterprise teams restrict which models are available. |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit |
Full / Explicit
The Devin API is documented across more than 300 reference pages, with an Outposts API and CLI reference and a CLI plugin format for programmatic control of sessions. |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit
claude plugin eval runs prompt suites in fresh isolated sessions, grades them against a no plugin baseline and can gate CI on the score. |
Partial
Devin tests its own changes, Devin Review checks pull requests and Session Insights reviews completed sessions, but no harness to evaluate agent behavior across a suite is documented. |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
Full / Explicit
The Chrome integration lets the agent operate a visible browser session with the user's logins, and computer use extends this to native macOS apps. |
Full / Explicit
Each session includes an interactive browser Devin operates for testing and visual verification, with screenshots and videos captured for the user. |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A Anthropic Claude Code |
C Cognition |
|---|---|---|
|
Entry price Lowest public entry point |
From $17 per month (Claude Pro, billed annually; $20 monthly) | Free · Pro $20/mo · Max $200/mo · Teams $80/mo + $40/seat · Enterprise custom |
|
Pricing confidence How public the numbers are |
Public, exact | Public, exact |
|
Billing Primary billing axis |
Subscription per user (Pro, Max) or per seat (Team, Enterprise), each with plan usage limits, or per token on the Claude API. | quota + usage beyond quota |
|
Variable cost Workload / overage exposure |
High variable cost | High variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
Free tierTrial
|
|
Buying motion Self-serve vs sales call |
Self-serve | Self-serve |
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