Start with 5 or 10 AI coding agents working in parallel, coordinated through MainDuty. Need 20 or more? We’ll build a team around your project.
Describe what you want to build, fix, or improve. MainDuty organizes the work, coordinates development, runs verification checks, and brings changes together in a repository you control.
Keep using the AI you already know. We coordinate the engineering behind it. Each goal stays assigned until it is delivered, blocked for your decision, or stopped by you, and nothing ships without your approval.
First 48 hours free. Then $599 a month, and the price stays the same while you subscribe.
Fill in the form, we confirm your project, then send a secure link to add payment details.
Your AI conversation is the front door. Your repository is where the work lands.
You shouldn’t have to recruit, onboard, supervise, or babysit AI agents to build software — or manage another dashboard just to ask for progress.
Describe the result through the AI you already use. The conductor helps break it into development lanes, assigns specialized agents, coordinates dependencies, runs verification checks, and keeps work within the agreed budget. Building and testing are handled through separate responsibilities, with progress and verification results recorded along the way. You set the priorities, control the permissions, and approve important decisions.
One conversation. A coordinated engineering workflow.
Using AI to write code is increasingly simple. Coordinating multiple agents to produce working software is a different challenge. You shouldn’t have to choose which AI writes the code, which one checks the result, or who picks up a stalled task.
Development PRs are pull requests generated from development assignments. They vary in complexity and may still require QA, review, or merging; MainDuty tracks those stages separately. The five-agent figure was measured on our own portfolio, Nov 7–13 (122 agent-days): a median of 12 merged PRs a day, counting idle days. The period included testing with other agents, so we quote the lower figure. We have not yet measured a ten-agent team. Figures are not guaranteed output. Results depend on project complexity, dependencies, infrastructure, verification, and the included execution allowance.
The conductor stops when work is complete, a budget or permission boundary is reached, or a decision is needed from you. Autonomy does not mean unrestricted activity. The goal isn’t simply more agents. It’s more useful engineering progress.
Typical differences, not guarantees. Your own situation will vary.
| Traditional | AI-assisted developer | MainDuty | |
|---|---|---|---|
| Development | Human | Human plus AI tools | Several autonomous AI agents, supervised |
| Work assignment | A manager and a team | The developer | A supervisor and lead structure assigns work to the agents |
| QA | Human review and testing | Human and AI tools | Self-QA by the building agent, plus independent QA |
| Merge | Usually reviewed first | Usually reviewed first | After self-QA, merged to staging without waiting for independent QA |
| Independent QA | Typically before merge | Often before merge | Runs independently, after the staging merge |
| Parallelism | Limited by team size | Limited by team size | Several agent seats at once (5 or 10 on standard plans) |
| Main bottleneck | Human engineering time | Review and rework | Infrastructure, coordination, CI, agent failures, QA and integration |
| What counts as output | Released features | Released features | Working, verified customer journeys |
Staging is not production. Nothing is released to production without your approval.
Real numbers from our own portfolio, with the method stated. We publish the low figure next to the high one.
Our data. Pull requests merged by our agents’ accounts on our own projects, November 7–13, 2026: 564 pull requests across 122 active agent-days (an agent-day counts when that agent merged at least one pull request). Source: our internal merge records. We re-measure and update these figures.
For context. Graphite’s analysis of public data reports: “The median active developer merges a median of 2 PRs a week.” Graphite, “The median developer merges 2 PRs per week”.
These are not like-for-like. Our pull requests are small, QA-checked slices, so we do not claim that our agents equal any number of engineers.
Measured on our own portfolio, Nov 7–13, 122 agent-days. The period included testing with other agents, so we quote the lower figure. Pull requests are small, QA-checked, and include tests and fixes. A pull request is not a delivered feature. Results depend on your project and plan. Last measured November 13, 2026.
We fit your stack instead of asking you to move. Tell us what you run and we confirm what applies to your project.
Connect your GitHub repository, or point us at your own repository on a git server you run. Work arrives as branches and pull requests you can review.
Containers give the agents a repeatable place to build and test, so a result that passes for them is reproducible for you.
We can work with Supabase or a database on your own server. Agents work against staging data, and access to production data is something you grant, not a default.
Checks run in your CI where you have one, and releases follow the approvals you set.
Your project is not mixed with anyone else’s.
The agents on your plan work on your project only. They are not shared with other customers’ code.
Your repository and data are kept apart from other customers’. Work lands in a repository you control.
You grant the access each agent needs, such as a repository scoped to one project, and you can take it away at any time.
Every change, test result and approval is recorded so you can see what was done and by whom. Your source code and IP remain yours.
The first 48 hours are free. One price for each plan, and it stays the same while you stay subscribed.
For focused product development and ongoing improvements. Up to 5 simultaneous agents, independent QA assignments, repository integration. Measured on our own projects: a median of 12 merged PRs a day for five agents, counting idle days. We quote the lower figure.
Request early access →For larger applications, multiple workstreams, and more demanding roadmaps. Everything in Developer Team, plus up to 10 simultaneous agents and a larger monthly execution allowance. More agents run more work in parallel. We have not yet measured a ten-agent team, so we do not quote a figure.
Request early access →A team built around your project, scoped and priced with you.
Contact us →Predictable usage. No surprise overages. Every plan includes a defined monthly execution allowance, displayed before activation. Concurrent agent slots and execution allowances are separate limits; five or ten simultaneous agents do not mean unlimited continuous execution. If your project needs more capacity, you approve an upgrade before additional charges apply. You don’t need separate AI subscriptions for the execution capacity included in your plan. Application hosting, third-party APIs, and dedicated human engineering are separate unless expressly included.
First 48 hours free. Fill in the short request form below. We confirm your project and email you a secure link to add payment details. Nothing is charged during the first 48 hours and you can cancel before they end. Your trial begins when your workspace is activated and runs within the trial execution allowance.
Developer Team, 5 agents: $599/month. Development Studio, 10 agents: $1,099/month. Your monthly price will not rise while your subscription stays active.
No annual commitment. Billed monthly; cancel before your next renewal.
If prices change for new customers, yours does not.
Have a specific project? Get a fixed-price quote.
Scoped outcomes are quoted individually. Subscription is our primary plan.
Requests, progress reports, and approvals flow through the experience you already know. No new command center — MainDuty coordinates the engineering behind the scenes.
See meaningful changes, work lanes, decisions, approvals, and verification results. Know what’s complete, what’s blocked, and how your execution allowance is being used.
Your source code and IP remain yours. Your repository is the delivery destination.
Work links to development tasks, PRs, code revisions, tests, and review evidence — not opaque progress claims. Building and checking are separate responsibilities: QA is assigned independently from implementation, and failed checks stay visible for correction or review.
Permissions and stop conditions govern what agents can do and when your approval is required.
Managed access, repeatable workflows, and auditability for growing engineering operations.
The autonomy of AI. The visibility and control of an engineering operation.
Turn an idea into a working product, prototype, or customer-facing application.
Extend a codebase, fix defects, modernize systems, and work through technical debt.
Connect services, move data, develop APIs, and repair fragile integrations.
Coordinate implementation, review, testing, release evidence, and human approval.
For founders, product teams, engineering leaders, and organizations that need more development capacity without managing an entire AI agent fleet.
We build MainDuty against the same challenge our customers face: delivering real software across multiple applications, teams, and codebases. Our own portfolio gives us practical environments to evaluate agent coordination, integration, verification, and release preparation.
These represent our own portfolio and development work. External customer stories will be added only with verified results and permission.
A development task isn’t finished simply because an AI agent says it is. MainDuty connects each request with the work performed, Development PRs, verification evidence, and the accepted result.
View an example delivery trace →{{ f.a }}
Tell us what you want built or fixed. We reply within one business day with a secure link to add payment details. Nothing is charged during the first 48 hours.