Switch from Devin to Continuum after a flat pilot

Most teams that run a Devin pilot and do not renew describe the same experience: the demo worked, a handful of real tasks worked, and then the pull requests stopped being merged. That pattern has three or four common causes and only some of them are about Devin. Working out which one you hit is the difference between a migration that helps and one that repeats the pilot with a new logo.

By the Continuum team. We build a workbench that runs Claude Code, Codex, and their peers, so the model rates quoted here are the ones our own cost analytics ship with.

The short version

Before migrating off Devin, diagnose why the pilot underdelivered. Review capacity, under-specified tasks, and environment mismatch follow you to any agent and are not solved by switching. What a different tool genuinely changes is the delegation shape, the number of providers you can run, spend visibility per repository, and whether the client costs money. Devin remains the right choice for a deployment inside your own cloud, for per-session cost accounting, for a long tail of occasional users on free flex seats, and for teams whose work genuinely arrives as well-scoped tickets. Continuum is a free workbench over the agent CLIs you already pay for, with parallel worktree sessions, live quota gauges, spend by repository, and mobile control.

What you need to know
  • Diagnose before you migrate. Three of the four common pilot failures follow you to the next tool.
  • Review capacity is the usual ceiling, and no agent raises it.
  • Devin still wins on own-cloud deployment, per-session accounting, and free flex seats.
  • What a switch changes: delegation shape, provider count, spend visibility, client cost.
  • Continuum is not an autonomous engineer. It is a workbench over agents you already run.
  • Keep the Devin account through one full release cycle. Migrations without a rollback are bets.

Diagnose the pilot before you replace the tool

This is the whole page in one table. Find the row that matches what actually happened, then read the last column before you do anything else.

What you observedMost likely causeDoes switching fix it?
PRs arrived faster than anyone read themReview capacity, not agent capabilityNo
Results kept missing the intentTasks under-specified at assignmentNo
Agent could not build or test the projectEnvironment and setup contractNo
Consumption vanished on abandoned attemptsTask scoping, plus no early stopPartly
Nobody adopted it after week twoWork does not arrive as ticketsYes, a different shape helps
Half the team preferred their own CLISingle-vendor tool over a multi-vendor teamYes
Finance could not attribute the spendNo per-repository axisYes
The seat cost outran the valueWrong tier, or wrong unit entirelyDepends on the tier

The one exception worth naming: if consumption disappeared into sessions you abandoned, that is partly a scoping problem and partly a visibility one. Being able to see what a session was costing while it ran, rather than afterwards, changes behavior. That is a real argument for a different surface, and it is the honest version of the cost argument.

What Devin does well, stated plainly

If any of these describes a requirement rather than a preference, stop reading and stay. A workbench does not substitute for them.

  • Deployment inside your own cloud. Devin Enterprise offers a dedicated option so source never leaves your boundary. This is rare in the category and it ends most comparisons on its own.
  • Per-session cost accounting. Session Insights reports what a single session consumed, and enterprise and organization admins get aggregate consumption views. If chargeback is a requirement, this is a real capability, not a dashboard.
  • Hard organizational caps. An organization at its ACU limit stops. Activity halts and users are told to contact an admin, rather than the invoice quietly continuing to grow.
  • Free flex seats. Unlimited occasional users at no fixed cost, drawing on a shared credit pool. For a long tail of light users nothing per-seat competes with zero.
  • Genuinely parallel fleet execution. Devin is architected for many agents at once rather than for one session you are attending, and that is a different engineering problem than it looks.
  • A product line, not a tool. Devin Cloud, the Devin CLI, Devin Desktop, and Devin Review sit on one account and one commercial system, and Devin Desktop is the editor formerly called Windsurf.
  • Model breadth. Frontier models from several vendors alongside Cognition’s own SWE series.

What actually changes if you move

Four things change in a way you will feel within a week. Everything else is a detail.

01

The delegation shape

Devin is built around assignment: describe a task, receive a pull request. Continuum is built around attended and semi-attended sessions in isolated git worktrees, where you can watch a plan, read a diff mid-run, and correct course without abandoning the session. If your pilot died because nobody could scope a ticket well enough in advance, this shape is more forgiving, because correction is cheap and continuous rather than expensive and terminal.

02

The number of providers

A Devin seat covers Devin. Continuum runs Claude Code, Codex, Cursor CLI, Gemini CLI, Grok, and OpenCode side by side, on the subscriptions your engineers already hold. If half the team quietly kept using their own CLI during the pilot, that is the signal this addresses directly.

03

The spend axis

Devin reports consumption per session and per organization. Continuum prices local agent history into a ledger by repository, provider, model, and day, across every agent at once, and shows live five-hour and weekly quota gauges per subscription so a limit stops being a surprise. The per-repository axis is the one finance asks for and the one no single-vendor tool provides across a multi-vendor team.

04

What the client costs

The Continuum workbench is free on Mac, iPhone, Watch, web, Windows, and Linux. Model work runs on subscriptions or keys you already own, or on hosted inference prepaid at cost. The organization plan at $25 a seat adds model policy, weekly caps with approvals, and org-wide reporting. That is a different commercial shape from a contracted ACU volume, and it is worth pricing both rather than assuming.

What does not change: the review burden. Both models convert writing time into reading time, and a team that could not keep up with Devin’s pull requests will not keep up with six parallel sessions either. The review guide is the prerequisite for both.

A reversible migration

01

Keep the Devin account live

Do not cancel during the migration. The Continuum workbench is free, so running both costs nothing but attention, and cancelling first removes your ability to compare. If your Devin plan has credits, remember they roll over rather than expiring.

02

Export the workflow inventory, not the transcripts

For every recurring Devin task, record the trigger, the repository, the task class, the instruction sources, the environment and services it needed, the secrets, the approval point, the acceptance tests, and the rollback procedure. That inventory is the migration. Chat history almost never is.

03

Move durable context into the repository

Knowledge and Playbook content that encodes build commands, test rules, architecture constraints, and service ownership belongs in AGENTS.md and CLAUDE.md, committed. Every agent reads those, including Devin, so this step is safe whatever you decide.

04

Install Continuum and connect one provider

Start with whichever agent your team already uses most outside Devin. One provider and one working session teaches you more than a complete configuration.

05

Reproduce your last accepted Devin task

Same brief, same base commit, same acceptance criteria, same reviewer. Capture the plan, the diff, the tests, the pull request, the elapsed time, and the usage. Comparing against a task you know the correct answer to is the only honest benchmark available to you.

06

Reproduce the environment contract

If the Devin session needed a database, a service, or a specific toolchain, that requirement did not go away. Set it up on the host the sessions will run on and verify a clean bootstrap before you rely on it.

07

Pair a phone

Approve a plan and read a diff from an iPhone while the session runs on your desk machine. For teams coming from an assignment model this is the closest analogue to the thing they liked about Devin: work continues without you sitting there, but you can intervene when it goes wrong rather than only afterwards.

08

Run the spend ledger for two weeks

Then look at cost by repository across every agent. If that number answers a question your Devin consumption view could not, the migration has a concrete justification. If it does not, that is worth knowing too.

09

Decide the seat question separately

The workbench is free. Organization controls are $25 a seat. Do not bundle the tool decision and the governance decision into one conversation; they have different owners and different evidence.

10

Run parallel through a full release cycle

Not a fortnight. The failure modes of an agent workflow appear at integration and at incident time, and a trial that only covers feature work will miss both.

The commercial comparison, without the spin

Devin figures from devin.ai and docs.devin.ai, August 2026. Both exclude model subscriptions you already hold.
DevinContinuum
Client applicationIncluded in the seatFree on every platform
Individual entry$20/mo Pro$0 for the workbench
Team entry$80/mo minimum, $40 full seats$25 per seat per month
Occasional usersFree flex seatsOnly live members are billed
Enterprise unitACUs at a contracted rateSeats plus inference at cost
Public enterprise priceNoYes
Metered onAgent work per sessionProvider subscriptions, or hosted inference at cost
Spend by repositoryNoYes
Hard capYes, org ACU limitYes, weekly caps with approvals
Runs your existing CLIsNoYes, six of them
Own-cloud control planeYes, dedicated deploymentNo

If you would rather keep Devin and add visibility around it, running Continuum alongside Devin is the smaller change. For the wider field see Devin alternatives, and for the enterprise renewal conversation see Devin enterprise pricing.

Questions people ask

Our Devin pilot underdelivered. Should we switch?

Not until you know why. Review capacity, under-specified tasks, and a broken environment contract are the three most common causes across every vendor, and none of them is fixed by changing tools. If the cause was that work does not arrive as tickets, or that your team is multi-vendor, or that spend could not be attributed, then a different shape genuinely helps.

Is Continuum a replacement for Devin?

Not directly. Devin is an autonomous engineer with its own models, its own cloud environments, and an enterprise deployment option. Continuum is a free workbench over the agent CLIs you already run. It replaces the operating layer, not the agent.

What do we give up by moving?

A dedicated deployment inside your own cloud, per-session ACU accounting, Cognition’s own SWE models, an agentic pull request reviewer, free flex seats for occasional users, and the fleet execution model. Those are real, and if any is a requirement you should stay.

Can we run both?

Yes, and for at least one full release cycle you should. The workbench is free, Devin credits roll over rather than expiring, and a migration you cannot reverse is a bet rather than a trial.

What happens to our Knowledge and Playbooks?

Port the durable content into AGENTS.md and CLAUDE.md in the repository. Every agent reads those files, including Devin, so the work improves your setup whether or not you complete the move.

How much does Continuum cost compared to Devin?

The workbench is free on every platform. The organization plan is $25 per seat per month billed by live member count. Devin is $20 a month for Pro, $200 for Max, from an $80 monthly minimum for Teams with $40 full seats, and a contracted ACU rate at Enterprise.

Will Continuum fix our review backlog?

No, and neither will any other agent. Both models convert writing time into reading time. What changes is that a session you can watch and correct mid-run produces fewer results that need to be rejected wholesale, which reduces the backlog indirectly rather than by raising review capacity.

Can we still attribute cost per project?

Yes, and more finely. Continuum prices local agent history into a ledger by repository, provider, model, and day, across every agent at once rather than one vendor at a time. That is usually the axis finance actually asked for.

Sources

Every figure above was read from these pages on August 2026. Vendors reprice without notice; if you find a stale number, tell us.

  1. Devin pricing
  2. AGENTS.md specification
  3. Devin documentation: self-serve plans Teams minimum, full and flex seats, and credit rollover.
  4. Devin documentation: enterprise billing ACU billing and organization limits.
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