Double the output.
Not the headcount.
Most AI dev tools make individual engineers faster. Minions makes your engineering org larger — without the hire. It removes the three limits on a developer: one story at a time, work stuck on a laptop, output that stops at the end of the day. Seven specialized agents — Planner, Plan Reviewer, Builder, Test Author, Reviewer, CI Fixer, and Auto-Merger — run every ticket from spec to a merged PR, around the clock, coordinated across your repos, tracked by team, and costed to the dollar. Your leads stay in control — you approve the plan and the merge. Your board gets a number, not a guess.
Every era of software development compared side by side — see where the shift actually happens.
One well-defined change is a Task. A larger initiative is a Feature — Minions scope it and break it into waves. Or run a Vulnerability Scan and turn findings into tickets.
A copilot autocompletes. Minions delivers. Seven agents take every ticket through planning, plan review, building, independent testing, review, and merge — in parallel, around the clock — so your actual engineering team is doing the work only humans should do. What lands in your inbox isn't a suggestion. It's a PR.
Reads the ticket. Writes the spec.
A two-line Jira ticket becomes a real engineering plan — goals, acceptance criteria, edge cases, and a test strategy. Nothing downstream moves until you sign off on the spec. The most expensive bug is the one nobody scoped.
Vets the spec before a line of code.
Every plan gets a second set of eyes before the build starts. Plan Reviewer checks the spec for gaps, bad assumptions, and missing edge cases — and can send it back to Planner to re-plan. The cheapest place to catch a mistake is before any code exists.
Takes the spec. Opens the PR.
Writes code in your repo's own conventions — your naming, your patterns, your stack. Pushes a draft PR. Compiles and self-checks before handoff. Doesn't write its own tests, and that isn't a limitation — it's the design.
Writes tests from intent. Never reads the build.
Tests written against implementation pass the implementation. Tests written against intent catch the bugs. Test Author works from the same spec as Builder — blind to the code being written next to it — so the green checkmark actually means something.
Holds code, tests, and spec against each other.
Runs through the spec line by line and asks one question on each: does the code satisfy this? Does a test prove it? One green box per acceptance criterion, or it goes back. Reviewer doesn't merge — that's your job — but it doesn't hand you garbage either.
Watches CI. Fixes what breaks.
When your GitHub Actions regression suite fails, CI Fixer gets the webhook. It queues a prioritized story for your team's board — or, with auto-fix enabled, dispatches Builder and Test Author immediately to patch it. Runs pre-merge as a gate or post-merge as a safety net — whichever matches your team's release process.
Merges the PR — only when you say go.
Once a PR clears review, Auto-Merger handles the merge, the branch cleanup, and the ticket close-out — but only after you approve it. Nothing lands in main on its own. It takes the busywork out of shipping, not the decision to ship.
Drop a request into Minions. Watch the Planner, Plan Reviewer, Builder, Test Author, and Reviewer work in parallel. Reviewed PR ready for merge — in under 10 minutes.
What's shipping, what's blocked, what's waiting on you. Cost-per-task in dollars, time-per-task in minutes, and the full agent log for any job. Built for multiple orgs and teams with role-based access — admins steer, members ship, viewers watch. Each team gets its own view. You get all of them.
Tasks shipped, lines of code and tests written, tasks per person per day, and total agent working time — broken down by team and trended over time. The work Minions does is countable, and it's all here.
Connect a repo and Minions spends its first hour studying it — not coding in it. Domain entities, naming patterns, test layout, branch conventions, and the unwritten rules every team has. Every ticket after that runs through your context, not a generic one. The output looks like your team wrote it because, in every way that matters, it did.
Most AI dev tools hand you a faster developer. Minions gives you a more capable engineering org — one that plans epics, processes tickets, authors independent tests, watches CI, and runs security audits, all without growing the team. Raw ideas get shaped into approved specs before a ticket exists. Large initiatives get planned as dependency-ordered waves of tickets that unblock each other. And continuous security review opens its own tickets from the vulnerability findings you approve.
Describe a large initiative in plain language. The planner proposes a full breakdown into dependency-ordered waves of stories — with edge cases, scope, and sequencing already reasoned through. You iterate conversationally, re-sequence, tighten scope, then approve. Wave 1 stories enter the pipeline automatically; later waves unblock as earlier ones complete.
A structured intake flow that turns a raw idea into an approved Feature. Submit an idea (with an optional source URL — the AI will analyze it and extract context), collaborate with the AI on MoSCoW-prioritized requirements and a full SRS document, then invite external stakeholders by email. They get a confined portal at /intake — they can answer questions and suggest changes, but never see the rest of your pipeline. Approve the proposal and it seeds straight into Features.
AI-powered vulnerability audits against any registered repo. the scanner reviews the codebase across ten security categories and returns findings organized by severity — critical, high, medium, low. Skip a false positive with one click, or approve a finding to auto-create a Task ticket that goes through the full build pipeline. Security stops being a report and becomes a queue.
Some features don't sit inside one repo. A single Task in Minions can span up to three repos at once, and one Task can wait on another when you need sequenced work. Every repo carries its own metadata layer, its own stack label, its own testing instructions — the agents read all of them and coordinate across every repo the Task touches.
When an agent needs more information from you, the ticket transitions to Needs Clarification and surfaces on a live alert stream. Answer in plain language and choose which status the ticket returns to — Planning, Ready for Dev, or wherever it should pick up.
When engineering leadership asks what Minions is doing, you can tell them exactly — by team, by ticket, by dollar, by minute. No black boxes. No trust-me-it's-working.
Planning, Build, Test, Review, Ready to Merge — every ticket sits in exactly one column. No "ask the AI what it's doing" — you can see it.
One gate on the spec. One on the merge. The agents work between them. Nothing leaves Minions and lands in main without you signing it through.
GitHub App + Jira native. Minions opens pull requests in your real repos and posts updates as real Jira comments. No new dashboards to learn unless you want one.
Multiple orgs, teams, and roles in one tenant. Each team gets its own budget, its own usage report, and its own merge policy.
Each repo gets its own metadata layer — frontend monorepo, Rails monolith, infra repo. Each one ships in its own voice.
Every ticket carries a dollar number and a minute count. You can answer "what did this feature cost us" before standup the next morning.
Connect GitHub and Jira. Minions indexes your repo in under an hour and starts opening PRs the same day. It keeps working overnight — and every team's activity, cost, and output is waiting for you in the dashboard when you're back. It stops at the merge gate until you say go.