# Devin — Cognition’s autonomous AI software engineer, delegate a ticket, get a reviewed pull request back.

> Source: The Agents Index — https://theagentsindex.com/devin (structured, researched, re-verified)
> Facts last verified: 2026-07-23

Devin is an autonomous cloud software engineer built by Cognition. Unlike an in-editor copilot, Devin runs asynchronously in its own cloud environment — you assign it a task in Slack, Linear, the web app or via API and it plans, writes code, runs tests and opens a pull request for review, largely unattended. It is positioned for delegated engineering work — migrations, refactors, bug fixes, CI failures and documentation — and can be scaled to a fleet of parallel Devins on large multi-repo projects. Cognition’s acquisition of Windsurf finished its rebrand into Devin Desktop in June 2026. Cognition itself raised a $1B+ Series D at a $25B pre-money ($26B post-money) valuation in May 2026 — up from $10.2B eight months earlier — reporting a $492M annualized revenue run-rate and naming enterprise customers including Citi, Mercedes-Benz, Goldman Sachs, Dell and Santander.

| Fact | Value |
| --- | --- |
| Website | https://devin.ai |
| API | Yes |
| Best for | Engineering teams that want to delegate well-scoped tickets, migrations and CI toil to an autonomous agent and review the resulting PRs. |
| Not for | Solo developers who want a fast, interactive in-editor copilot rather than an async agent that works on its own machine. |

## Verdict

Devin is the most complete attempt at a genuinely autonomous software engineer: it works asynchronously on its own cloud machine, opens real pull requests, and can be scaled to a fleet on large migrations. It is now also one of the best-capitalized bets in the category — a $1B+ Series D at a $26B valuation (May 2026), $492M in annualized revenue, and named enterprise deployments at Citi, Mercedes-Benz, Goldman Sachs, Dell and Santander back up the pitch with real production usage, not just funding hype. Its July 2026 SWE-1.7 model is a genuine cost-performance play — cheap per task, but Cognition’s own numbers put it behind Claude Opus 4.8 and GPT-5.5 on the hardest benchmarks, so treat it as the efficient default rather than the ceiling. The honest catch on autonomy itself remains: independent reviewers still find it stalls or over-engineers on ambiguous tasks, so its PRs are a draft for review, not a finished merge, and billing can drift once on-demand credits kick in on long sessions. Pick Devin if your bottleneck is well-scoped, delegable engineering work you can review as PRs, or you want a vendor with real enterprise-scale traction behind it; skip it if you want a fast interactive copilot in your own editor, where Cursor or Devin Desktop fit better, or you need frontier-level output on the single hardest tasks without switching models.

## Strengths and weaknesses

- ✓ Genuinely autonomous, asynchronous delegation — the closest thing to handing a ticket to a junior engineer.
- ✓ A free tier plus a $20 Pro entry point lowered the barrier from Devin’s original enterprise-only pricing.
- ✓ Public API and Slack/Linear triggers make it scriptable into CI and incident workflows.
- ✓ Backed by a $1B+ Series D at a $26B valuation (May 2026), $492M in annualized revenue and named enterprise customers (Citi, Mercedes-Benz, Goldman Sachs, Dell, Santander) — genuine evidence of production trust at scale, not just funding hype.
- ✗ Autonomy is uneven — independent reviewers still find it stalls or over-engineers on ambiguous tasks, so its PRs are a starting point for review, not a finished merge.
- ✗ Usage-quota-plus-on-demand-credit billing can get unpredictable on heavy or long-running sessions.
- ✗ Closed-source and cloud-only; sensitive codebases depend on Enterprise VPC to stay off shared infrastructure.
- ✗ SWE-1.7, Cognition’s own default coding model (July 2026), is optimized for cost rather than peak capability — Cognition’s own published scores put it behind Claude Opus 4.8 and GPT-5.5 on hard benchmarks (FrontierCode 1.1, Terminal-Bench 2.1), so the hardest tasks may still want an explicit frontier-model override.
- ⚠ Best suited to well-scoped, verifiable tasks; broad or ambiguous specs still need a human to break down and review.
- ⚠ It is a cloud async agent, not an in-editor assistant, for tight interactive pairing you would use Devin Desktop or Cursor.
- ⚠ The default SWE-1.7 model trades some peak capability for cost efficiency, switch to a frontier model explicitly for the hardest tasks.

## Key features

- **Async cloud sessions** — Runs each task on its own cloud VM with a real shell and browser, working unattended until it opens a PR.
- **PR-first workflow** — Delivers work as a reviewable pull request with a summary, keeping a human in the loop for the merge.
- **Fleet of parallel Devins** — Spin up multiple Devins to tackle independent tickets or a large multi-repo migration in parallel.
- **Devin Wiki & Ask Devin** — Builds persistent, queryable knowledge of your codebase to ground its work and answer questions.
- **SWE-1.7 model** — Cognition’s own coding model (shipped 2026-07-08), tuned for a strong cost-to-performance ratio — well below frontier-model cost per task, though it trails true frontier models on the hardest benchmarks.

## Use cases

- **Large-scale migrations** — Delegate a framework or language migration across many repositories to a coordinated team of Devins.
- **Backlog + CI toil** — Assign routine bug fixes, dependency bumps and failing-CI investigations from Linear or Slack and review the PRs it returns.
- **Incident response** — Wire Devin to Sentry or Datadog so it can triage an error and open a fix PR straight from the alert.

## Integrations

GitHub & CI pipelines · Slack & Microsoft Teams · Linear, Jira & Notion · Sentry & Datadog · Devin API · Devin CLI · Model Context Protocol (MCP) — MCP Marketplace, connects as a client to external MCP servers

## Sources

- https://devin.ai/pricing
- https://docs.devin.ai/admin/billing/self-serve
- https://cognition.com/blog/series-d
- https://techcrunch.com/2026/05/27/ai-coding-startup-cognition-raises-1b-at-25b-pre-money-valuation/
- https://cognition.com/blog/swe-1-7
- https://docs.devin.ai/work-with-devin/mcp