The short version
Devin is an autonomous software engineer: assign it a ticket and it works until there is a pull request. It is built to need as little from you as possible along the way.
CodeLynq puts an approved spec between the request and the code. Your team agrees on what will be built, the agent builds exactly that, and the run is checked against your tests, its own review, a security scan and your architecture rules before anyone sees the pull request.
Where they differ
| Devin | CodeLynq | |
|---|---|---|
| Before code is written | Works from the ticket or the conversation | A spec your team approves first |
| Coding agent | Devin's own agent | Your choice: Claude Code, OpenAI Codex or Grok |
| Checks before the pull request | Tests in its own environment | Your tests, self-review, security scan and architecture rules |
| Where the code runs | Cognition's cloud, private networking on enterprise terms | Our platform, or runners on your own hardware |
| Pricing | Usage-based compute units | Flat monthly plans from €59, cost shown before each run |
| Company | US | EU (Netherlands), GDPR data processing agreement |
Where Devin is the better fit
If your work lives in Jira, Linear or Slack and you want an agent to pick tickets up there directly, Devin integrates with those tools and CodeLynq does not yet. If you want the agent to need as little oversight as possible, Devin is designed around that.
Where CodeLynq is the better fit
If your team wants to decide what gets built before it is built, choose which model writes the code, keep source on your own machines, or hold AI changes to written architecture rules, that is what CodeLynq is built around. Every change traces back to the task, the approved spec version and what it cost.