If you are buying a dedicated AI engineering platform, start with Devin. Its documented environment, testing and review tools make it the more natural starting point for a team whose main requirement is getting engineering work through its backlog.
Artie has a narrower case. You already license Claude Code or Codex, and you want to use that supported tool through an AI employee alongside employees working in marketing, design, recruiting or operations. The attraction is several functions sharing one Artie credit balance. That does not establish equal coding performance or a lower total bill.
This comparison is published by Artie and draws on both vendors' public documentation checked on November 10, 2026. It is not a hands-on comparison of their code or results.
Devin is the stronger starting point for an engineering purchase
A coding agent needs somewhere to run the application, inspect failures and test a change. Devin documents its own environment with a shell, IDE and browser. It can launch an app, interact with its interface and check its work before opening a pull request. Its engineering guidance also describes managed parallel sessions, so separate assignments can run at the same time.
The surrounding engineering tools matter as much as the first patch. DeepWiki provides codebase documentation, while Ask Devin supports code search, questions and planning. Devin discovers repository PR templates and runs test loops that can include existing tests, linting and type checks. Devin Review provides automated PR review. With Auto-Fix enabled on an eligible PR, a session can address a finding, dismiss it or leave it for a person to decide. These capabilities are described in Devin's software development lifecycle documentation.
That is a substantial reason to choose Devin when you want the engineering environment and agent workflow in one product. Artie's ability to route a bug to a coding tool is not evidence that it matches this depth. Nor does Devin's environment remove the need for repository context, usable tests or engineering judgment. Its own introduction cautions that behavior may differ from the documentation and that the documentation may be out of date.
Artie fits an existing coding tool inside a broader AI team
Artie's Gilfoyle software engineer takes engineering tasks through implementation, checks and review. The more specific bug-to-draft-PR workflow explains the dependencies: connected Claude Code or Codex, GitHub, repository instructions, a runnable environment and test dependencies. The customer supplies those prerequisites. Buying Artie does not include the separate coding-tool license.
For a technical founder already using one of those tools, that creates a different purchase decision. The team can evaluate an Artie engineer that uses its existing supported coding tool while also using Artie's marketer, designer, recruiter or chief of staff. Those employees draw on the same Artie credit balance. The value depends on wanting that broader team, rather than wanting an engineering agent alone.
Consider a company with occasional bounded bug work and regular demand for campaign deliverables and candidate research. A shared balance across those functions could suit how it buys AI work. It also means engineering and non-engineering jobs consume the same allowance. That is a budgeting tradeoff, not evidence that one vendor completes more work per dollar.
Slack access, recurring work and follow-through do not settle this comparison. Devin supports Slack sessions and thread updates, and its guidance describes recurring Automations and review findings that can trigger fixes. Artie also describes ongoing engineering responsibilities. Neither having a presence in the conversation nor promising to keep work moving makes Artie the unique choice.
What each bill includes
The prices below are the monthly dollar amounts displayed by the vendors on November 10, 2026. They describe different allowances, not equivalent units of completed engineering work.
Devin's pricing page lists both individual and team options:
Free is $0, with a light agent quota, limited model availability, unlimited inline edits and unlimited Tab completions.
Pro is $20 per month for an individual. It adds increased quotas, full model availability and access to cloud agents through Devin Cloud. Extra usage can be purchased at API pricing.
Max is $200 per month for an individual, with everything in Pro and significantly higher quotas.
Teams is an $80 monthly base plus $40 per full user per month. It includes Pro features, sharing and collaboration, centralized billing, an admin dashboard and support for up to 200 users. Each full user has their own quota and Devin Desktop access.
Enterprise has custom pricing, with enterprise administration and deployment options.
Devin's paid plans include model access and an agent usage allowance that refreshes daily and weekly. The page does not supply a fixed number of bug fixes that allowance buys. A solo founder should consider the individual plans, rather than treating Teams as Devin's entry price.
Artie's pricing lists a free plan with up to $130 in onboarding credits that do not renew monthly. Its $100-per-month Team plan includes 10,000 shared credits, with larger allowances and optional top-ups. Enterprise uses custom contract terms. Artie work consumes credits according to the job, including model work, computer time and paid tools. Connected apps may carry their own license fees.
For this engineering route, keep the Claude Code or Codex license in the budget alongside Artie. An existing license can be reused for the documented connection, but it is still a separate purchase with its own terms. Artie credits and Devin quotas are not interchangeable, and these published prices do not establish which option is cheaper for your work.
The useful distinction is what you are funding. Devin bundles model access and engineering agent usage into its plans. Artie funds work across its AI employees on a shared balance, with the supported coding tool licensed separately. An engineering-only requirement favors the former. A real need across several functions is the reason to consider the latter.
A bug makes the responsibility boundary clear
Imagine an export button that throws an exception when a report has no rows. The intended behavior is a CSV containing only the header. This is a hypothetical illustration, not a test performed with either product.
There are four different states worth separating. The defect is reproduced when the empty input causes the failure. The patch is checked when the changed code passes relevant tests, including the empty case and a normal populated report. The PR is reviewed when the required reviewer accepts the change. The release is verified when the agreed check confirms the behavior in the target environment. These are criteria for judging the work, not results we observed.
Devin's documented environment and test loops give it a place to investigate the failure and check the patch. Its review and Auto-Fix tools can help with findings before a human decides whether to merge. If your main buying problem is providing that engineering workflow, those are directly relevant capabilities.
Artie's documented route uses the connected coding tool and the environment your team supplies. It returns a draft PR with reproduction details, executed checks and remaining verification. Required reviewers own approval and merge, and the workflow ends with a verification handoff. The attraction here remains using the existing tool within the broader Artie team. Linking the bug to its owner is not an exclusive Artie advantage.
Suppose the regression test passes locally but the integration test needs an unavailable service. The important distinction is between a checked patch and an unverified release. Buying either product leaves the team responsible for deciding what evidence is sufficient. Artie's separate PR review and CI repair pages describe those neighboring jobs. They do not turn a draft PR into proof that the production bug is fixed.
Choose for the work you actually want to buy
Choose Devin first when the central requirement is a dedicated AI engineering platform: an environment, codebase tools, testing, review and parallel engineering sessions. Already having Claude Code or Codex does not make those capabilities redundant.
Consider Artie when you already license a supported coding tool and genuinely want several functional AI employees using one shared balance. Its engineering workflow can be part of that purchase, with your runnable environment and review process still required. If those other functions are not part of the need, the strongest reason to choose Artie in this comparison falls away.
For that broader use case, explore Gilfoyle's engineering role and Artie's current plans. The choice turns on how much of your AI work extends beyond engineering.
