MulaLogic is not another app builder. It accelerates the work that actually fills your backlog — turning requirements into stories, fixing bugs, delivering features on your existing codebase — and tracks every one end to end, from intent to merged pull request, with your team approving at every gate.
Grounded in your repos & conventions · Your Jira, your GitHub, your models · Humans approve every write
Plenty of tools spin up an app from a blank page. MulaLogic is built for what comes after — evolving, fixing and governing the software your business already depends on. There is no "build an app from scratch" template. That's on purpose.
A requirement in plain language becomes estimated epics and stories — approved by your tech lead before a single Jira issue is written. Value on day one, no AI-written code required.
The full journey — requirement to reviewed, merged pull request — grounded in a scan of your codebase and your team's conventions, with every story tracked through to merge.
The pipeline investigates the root cause first — a human confirms it before any code is touched. Then a failing repro test, the minimal fix, sandbox proof, and a PR with the evidence attached.
Business users submit a requirement in whatever form they already have. Agents ground themselves in your existing code and conventions, produce the work, and pause for human approval before anything is written to Jira or merged to your codebase. One chain of custody, from requirement to merge.
Text, a document, a Confluence page — or start straight from an existing Jira ticket.
Grounded in your repos and conventions — estimated stories across UI, Backend, API, DB, DevOps, QA and Docs.
A tech lead edits, approves or rejects. Nothing is written to Jira until a human says go.
Per approved story: a Jira issue, a branch, code, tests and static checks — pinned to exact prompt and model versions.
A human approves the pull request in GitHub before any merge — then the next story proceeds automatically.
Gate edits and PR feedback are distilled into human-approved Lessons that ground every future run.
AI-DLC — the AI-Driven Development Lifecycle pioneered by AWS — is becoming the reference model for building software with AI: agents do the production work across three phases, delivered in short cycles, with the team validating every AI-proposed plan before an agent executes it. MulaLogic is that lifecycle, turned into a platform — with the human checkpoints built in, not bolted on.
What to build, and why — business intent becomes validated requirements and stories.
How to build it — approved work becomes code, tests and a reviewed change.
Deploy, run and monitor — MulaLogic hands the merged change to the pipeline you already trust.
MulaLogic ships with at least two policy-locked gates — story approval before any Jira write, PR review before any merge — that cannot be removed. And the pipeline around them is yours: a versioned graph you shape in a visual builder, no code required.
No run reaches Jira or merge without human approval — and you can edit, re-scope or reject at the board before you sign off.
Drag from a safe catalog, add custom-prompt steps with dry run, set per-gate approver roles that fit your process.
Story creation, bug-fix, new-feature and start-from-Jira templates ship out of the box — tuned for existing codebases.
Ground every agent in a scan of the repos you already ship from, your standards docs and golden paths — so agents work in your codebase the way your team does.
Requirements decompose into epics and stories split across UI, Backend, API, Database, DevOps, QA and Docs — estimated and ready for Jira.
Gate corrections, PR comments and merged diffs become human-approved Lessons that ground every future run. Nothing is learned silently.
Every step pins its exact prompt and model version. Re-run, audit and explain any result — no silent drift.
End-to-end pipeline traces, cancel & retry, failure recovery — with a full audit trail across every tenant action.
Business user, tech lead, developer, admin and viewer roles — with per-gate approver roles, so the right person signs off every time.
App builders own the blank page. Copilots own the editor. MulaLogic is the workflow layer above both — the system of record for how a change moves from business intent to production, with the whole team in it.
Copilots make one developer faster inside the editor. MulaLogic works a level above — business users in the flow, approvals and audit trails, the change tracked end to end. Your developers keep the tools they love.
Autonomous agents ask you to trust the output. MulaLogic is supervised autonomy — root cause confirmed before fixes, stories approved before Jira, PRs reviewed before merge. The gates aren't a limitation; they're the product.
AI inside your ticketing tool suggests tickets, then stops. MulaLogic executes them — Jira issues, branches, code, tests, pull requests — and the merge webhook closes the loop.
Your Jira, your GitHub, your models — configured per tenant, with secrets write-only and envelope-encrypted. Trial the whole flow in mock mode with zero external accounts.
Some teams can't put their requirements, source code and delivery data in someone else's cloud — a regulated industry, a government contract, or an internal policy that simply says no. That's not a reason to skip MulaLogic. The same product installs on your own infrastructure: same pipelines, same human gates, same audit trail — your servers, your database, your model keys.
A containerized bundle — web, API and a Postgres + pgvector database — deployed on your VMs, your private cloud or your own Kubernetes-adjacent stack. Already run Postgres? Point us at it instead.
No analytics, no usage beacons, no external identity provider, no license server calling out. Authentication is self-hosted, and integration secrets are envelope-encrypted inside your own database.
MulaLogic talks to the model provider you choose, under your own account and your own data-processing agreement. We never sit in the middle of that call.
We hand you the full network requirements document up front — every outbound endpoint, what it's for, and how to turn it off. Every integration stays inert until you configure it.
Nothing else leaves. No telemetry endpoint, no analytics, no license check — and MulaLogic never needs inbound access to your network for us to support it.
Tell us about your stack and what's sitting in your backlog — a requirement to break down, a bug queue, a feature waiting on capacity. We'll walk MulaLogic through a real item of yours, end to end.
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