Automate your software development with agents that know your code.
Loopsfinity puts a coordinated workforce on your product. Architects keep a living map of your codebase, Planners turn PRDs into sequenced, code-grounded tickets, and Builders ship them test-first, while every gate stays yours.
The maintenance platform for existing products. Works with your GitHub and Jira; your code never leaves your repositories.
ARCHITECTSFirst, your system gets mapped.
Modules, API contracts, data models, fragility hotspots, all read from the code itself and written into a living knowledge base you correct once.
PLANNERSThe PRD becomes real tickets.
Clarified with you, decomposed into stories with Given/When/Then criteria, and sequenced by actual code-level dependencies.
GATE 1 · YOUNothing runs until you click approve.
Reorder, cut scope, rewrite criteria. Your edits are remembered as preferences. That click is the only thing that starts execution.
BUILDERSTests are written before the code.
Each ticket gets a context pack: just the slice of the map it needs. Tests go red, implementation turns them green, on an isolated branch.
GATE 2 · YOUYou merge it like a teammate's PR.
Diff, impact summary, test results. After your click, rollback stays armed on this ticket: one click reverts exactly this change, forever.
THE LOOPBehind you, the system gets smarter.
The merge re-syncs the knowledge base within minutes; production bugs come back as triaged, well-specified stories. Round and round.
One place to see the whole loop, and everything waiting on you.
Your decisions, front and center.
The home screen is built around one question: what needs you? Gates waiting on your click sit at the top; everything the agents are doing streams live underneath.
- Knowledge base health, plans in flight, and spend, at a glance
- Every gate shows its context: red flags, test results, targets
- A live activity feed of every agent, every turn
Documentation that argues back.
Every section is versioned, scored for quality, and re-synced on merge. When the code moves and the docs don't, the map raises a drift flag instead of quietly lying to you.
- Module map with ownership and real test coverage
- Drift flags name the exact contradiction they found
- Your corrections are stored as permanent ground truth
A plan you can argue with.
Before anything runs, you see the whole decomposition · milestones, dependency-ordered stories, and per-story cost grounded in the complexity of the files each one actually touches.
- Every story: Gherkin criteria, impact files, RICE score, estimated cost
- Red flags from the Architect surface right on the gate
- Edit anything; your changes train the next plan
Sketches shown for illustration; the frames are 1:1 swap slots, so real product screenshots drop in with no layout change.
The whole loop, from your phone.
Choose cloud development, where we host your Runner, and there’s no laptop in the loop. Browse every Jira story, open one, and take it from dev to deploy on the iOS app.
App Store · iOS 17+ · Face ID for gates
The app ships with cloud development (we host your Runner). Running on your own VM or on-prem? The app is still your monitor: live runs and gate approvals work from anywhere.
Fifteen specialists. Each does one job, with only the context that job needs.
Not one big model guessing at everything: a roster of narrow agents with strict output contracts. Color names the family here and everywhere in the product.
Architects · they understand your product
6 agents · always currentBefore anything is planned or built, they turn your repos into a living knowledge base, and keep it honest on every merge.
Planners · they turn intent into an executable plan
5 agents · code-groundedHand them a PRD in your own words. They clarify it with you, decompose it, and sequence it by real code-level dependencies, not guesswork.
Builders · they ship it, test-first
4 agents · in production todayThe delivery engine. Each story arrives with its context pack and leaves as a pull request with passing tests, in your conventions, sized for a real review.
One accountable path, from PRD to production.
Every ticket, whether a bug, a feature, or a new service, travels the same line. The amber marks are where it stops and waits for you.
Connect, and your system gets mapped.
Point Loopsfinity at your GitHub and Jira. The Architects scan repos, contracts, schemas, and deploy topology into a knowledge base, then present it to you for correction. Your corrections become permanent ground truth · the foundation everything else is judged against.
Drop in a PRD. It gets interrogated first.
The Clarifier asks the questions a good BA would. Feasibility is checked against your actual architecture. Then decomposition produces milestones, stories with Gherkin acceptance criteria, and a dependency graph built from the code itself · a vague PRD never travels further down the line.
You approve the plan. Nothing runs before that.
Reorder tickets, cut scope, rewrite criteria. Your edits are remembered as preferences that shape every future plan. On approval, the plan syncs to Jira as the system of record.
Execution: tests first, context in hand.
Each ticket arrives with a context pack: exactly the slice of the knowledge base it needs. Builders write the tests, turn them green on an isolated branch, verify every acceptance criterion, and open a PR sized for a human review.
You review the PR. You call the deploy.
Every PR comes with its diff, impact summary, and test results; judge it like a teammate's work. Before anything ships, you get the release summary and the go / no-go is yours. Rollback stays armed per ticket, forever.
And the system gets smarter behind you.
Every merge re-syncs the knowledge base within minutes. Production bugs flow back as triaged, properly specified stories. The platform that shipped your v2 already understands it for v3.
Two permanent loops make this maintenance, not a one-shot generator.
CODE LOOPThe docs never rot
Every merge triggers a re-sync: the Architects diff what changed and update only the affected sections, versioned, within minutes. If code drifts from documented behavior, you get a flag, not a silent guess.
PRODUCT LOOPBugs become plans
Production errors flow into triage, come out as properly specified stories with severity scores, and get prioritized against your roadmap, waiting for your approval, not sneaking into Jira.
The compounding effect
Docs tools stop at docs. PM tools stop at tickets. Coding agents stop at PRs. Loopsfinity closes the circle, and every trip around it makes the next one more accurate.
Autonomy is easy. Accountable autonomy is the product.
Every agent platform claims autonomy. The question engineers actually ask is: where does human review happen, in the real workflow, not the sales deck?
The autonomous black box
- You hand over a task and wait for a PR to appear
- Planning happens inside the agent, invisibly
- Docs and tickets drift while the agent works from stale text
- Billing scales with how long the agent thinks, in tokens or compute units
- Review is a single moment at the end, when context is gone
Loopsfinity
- Nothing runs until you approve the plan, story by story, with the dependency graph in front of you
- Every PR arrives against acceptance criteria you already signed off
- A living knowledge base re-syncs on every merge, so plans are drawn from the real code
- Flat monthly price with a ticket allowance: no token metering, ever
- The deploy go / no-go is a third human decision, and rollback stays armed per ticket
Autonomy that stops where your accountability starts.
Three decisions never leave human hands. They're not a safety add-on; they're the architecture.
Approve the plan
Product direction and scope trade-offs are accountability decisions. You see the full plan (stories, priorities, dependency graph, estimates) before an agent touches a branch.
Approve the PR
Code entering your product needs an accountable human reviewer. Every ticket lands as a PR with its diff, impact summary, and test results.
Call the deploy
Production risk acceptance can't be delegated to an agent. You get the release summary (what ships, test status, risk notes) and the go / no-go is yours, from anywhere.
- Your code stays home
- Agents work inside your GitHub with the permissions you grant. Leaving takes nothing more than revoking access.
- Isolated by construction
- Each customer runs on a fully separate instance: own database, own encryption key, own credentials. No shared state to leak through.
- Secrets never travel
- Your git and model credentials live only in your own network. The control plane decides and remembers; it never holds the keys.
- Every action has an author
- Every decision, agent run, and gate approval is recorded with an author and a timestamp. Auditable end to end.
We put numbers on it, on your codebase, in two weeks.
Every pilot runs one real milestone from your backlog and is measured against the same four commitments. If the numbers do not hold, you keep the merged code and walk away.
of stories pass through delivery without a human having to re-specify them.
The dependency graph never hands a builder a story whose blocker has not merged.
The knowledge base updates within minutes of every merge, and drift raises a flag.
Every merged ticket keeps a one-click rollback armed. No exceptions, forever.
These are the platform's standing success criteria, measured live on your pilot dashboard, not marketing averages.
Watch the agents run a real milestone from your backlog.
30 minutes, engineers on both ends. We'll run the mapper on one of your repos first, so the demo is your product, not slideware.