10decodersFrom JIRA ticket to production, with the gates still in your hands.
CheiAI reads the ticket, plans the change, writes the code and the tests, and opens the pull request. Your engineers approve the plan, review the diff, and own the merge. Nothing ships that a human did not sign.
Book a Clarity SprintSee the pipelineReconciliation job drops partial settlements when the merchant file arrives after cutoff
Coding assistants got faster. Delivery didn't.
The bottleneck was never typing speed. It sits in the hours between a ticket being written and a change being safe to merge — the context gathering, the test writing, the review queue. That work is still manual, and it's why your cycle time hasn't moved.
Context is rebuilt every time
An engineer picks up a ticket and spends the first hours rediscovering which service owns it, what broke last time, and which tests matter. That context already exists — in the repo, the tracker and the incident history. Nothing reads it for them.
Assistants stop at the editor
An in-IDE assistant helps one engineer write one function. It doesn't take the ticket, it doesn't run your suite, it doesn't open the PR, and it leaves no record of why the change was made. The work either side of the editor is untouched.
Nobody will approve a black box
In a regulated codebase, "the AI wrote it" is not an audit answer. Without a named approver at each gate and a trail from ticket to merge, the pipeline is unadoptable no matter how good the code is.
Five stages. Two of them are yours.
The CheiAI orchestration framework runs the workflow against your tracker and your repo, and coordinates the agents at each stage. The stages below are ordered because the pipeline is ordered — each one hands a named artifact to the next, and two of them stop dead until a human says continue.
Ticket to context pack
The agent pulls the JIRA issue, its linked issues and comments, then locates the owning service, recent commits, related incidents and the tests that already cover the area. Output is a context pack, not a guess.
Plan and blast radius, posted for approval
Before a line is written, the agent posts its intended approach, the files it expects to touch and the downstream services affected — as a comment on the ticket. The pipeline holds here until an engineer approves, edits or rejects the plan.
Acceptance criteria become failing tests
On a branch in your VCS, the agent turns each acceptance criterion on the ticket into a test — and runs them to watch them fail. Red first. This is the stage that fixes coverage at the source, because a criterion nobody can express as a test is a criterion nobody had actually agreed.
Code until green, then refactor
Only now does implementation start, against tests that already exist and a plan you already approved. The agent writes until the new tests and your full existing suite pass in your CI, following your linting rules and module boundaries. Scope changes go back to stage 02 rather than being absorbed silently.
Pull request, reviewed and merged by you
A normal PR: diff, rationale, test evidence, ticket link. It enters the review queue you already have and follows the approval rules you already enforce. Merge and release stay with your team.
The controls you'd ask for in the first meeting
This is the part that decides whether the pipeline gets adopted or quietly shelved. It is designed for a codebase that is audited.
Named approver at every gate
Plan approval and PR approval are attributed to a person, timestamped, and written back to the ticket. When an auditor asks who authorised the change, there is an answer with a name on it.
Scoped, least-privilege access
Agents get repository and tracker scopes you define, per project. No standing admin, no write access to main, no credentials outside your secret manager.
Runs where your code lives
Deployable into your cloud tenancy and your CI, against your VCS. Model routing, retention and logging are configured to your policy rather than ours.
Traceable, ticket to merge
Every stage emits an artifact — context pack, plan, diff, test run, PR. The chain reconstructs the decision after the fact, which is what change control actually requires.
Start on a narrow class of work
We begin where the risk is lowest and the volume is highest: well-specified bugs, dependency and version upgrades, test backfill, small API changes. Scope widens on your evidence, not our roadmap.
Reversible by design
Branch-only, PR-only, no direct writes to protected branches. Turning the pipeline off leaves your repository exactly as your team left it.
Built for the codebases we already work in
10decoders has spent years inside regulated mid-market engineering teams. The pipeline is shaped by those constraints, not retrofitted to them.
Change control that survives an audit
HealthTech vendors ship into validated environments. The gates, the named approvers and the ticket-to-merge trail exist because your QMS asks for them — and because reviewers will not rubber-stamp code they cannot trace.
Small changes, unforgiving consequences
Settlement, reconciliation and screening code is where a two-line fix becomes a regulatory event. Blast-radius review before any code is written is the point of stage 02, not a formality.
Capacity without another headcount
With six engineers, the backlog of small, well-specified work never reaches the top of the queue. CheiAI runs that tier so your team stays on the roadmap instead of the maintenance list.
Four steps, and you keep everything we build
No platform migration and no rewrite. We start with the backlog you already have and the tracker you already use.
Define what you want handed over
Pick one class of work, not a wish list — the tickets that recur, are well understood, and never reach the top of the queue. We size it with you and agree what stays with your engineers.
You + us · ~1 weekJoin the workshop
A working session with your engineers and ours. We run one of your real tickets end to end, agree where the human gates sit, and let your reviewers push on the output before anyone commits to anything.
Half day · your teamTurn requirements into tickets the pipeline can act on
We convert your requirement format into JIRA issue templates the agents read reliably — acceptance criteria written as testable assertions rather than prose. Your writers keep using JIRA exactly as before.
Templates ship to your projectRun it, and count what it returned
The tier goes live behind your gates. You measure cycle time and engineering hours reclaimed on that class of work, and widen the scope on your own evidence.
Ongoing · your numbersWhy step 03 is the one that matters: we work test-first
Test-driven development is the reason this pipeline can be trusted with a codebase. A ticket whose acceptance criteria are written as testable assertions becomes failing tests before a line of implementation exists — which fixes coverage at the source and gives the agent a definition of done it cannot negotiate with. Vague criteria produce vague code from humans and machines alike. Rewriting the templates is where accuracy is won, before any agent runs.
Book a Clarity Sprint