From ticket to release, and back
AI writes the change fast. Robotesta makes sure it’s right.
Robotesta checks every change against what it was meant to do, from story to code to release, and shows the result where each person already works. So your whole team keeps up.
Early access: we read every request and reply within two working days. See how it works
What this change must do
Worked out from the story, two earlier decisions and the approved design.
- A sole owner cannot be removed. Proven
- The member's audit history remains. Proven
- Owned resources are reassigned first. Proven · new evidence
- Access ends the moment a member is removed. Not met
The change removes the member but never ends their session, so a removed member stays signed in.
Teams we've worked with
- ZidE-commerce
- ZidPayPayments
- MNT-HalanFintech
- HALAFintech
- KlivvrFintech
- AzzrakSoftware
Why now
Code got faster. Checking didn't.
More change now moves through the same review, testing and QA capacity. This is what that does to a team, in four steps.
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01 · Change
AI multiplied the change.
More features, fixes and experiments land every day.
Pull requests merged≈ 2×+98% · Faros 2025
Developers on teams with high AI adoption merged 98% more pull requests. Faros, The AI Productivity Paradox, 2025: 10,000+ developers, 1,255 teams.“We shipped three changes before lunch.”
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02 · Bottleneck
The queue moved downstream.
The code is ready. Review, testing and QA are still catching up.
Time reviewing pull requests≈ 1.9×+91% · Faros 2025
Pull request review time rose 91%. Faros, The AI Productivity Paradox, 2025.Time in QA≈ 4×+300.6% · Faros 2026
Time in QA is up 300.6%. Faros, The Speed Trap, 2026: 22,000 developers, 4,000 teams.“What else did this change touch?”
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03 · Trade-off
Teams start making compromises.
Every change forces the same choice.
WaitReview it. Test it. Verify it. Lose some of the speed.
Push throughMerge now. Check later. Move the risk downstream.
“Do we have coverage for that path?”
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04 · Rework
The work doesn't disappear.
What gets missed comes back as debugging, regressions, incidents and fixes.
Incidents a month≈ 2.25×+125.4% · Faros 2026
Monthly incidents are up 125.4%. Faros, The Speed Trap, 2026.“CI was green. Customer found it first.”
Fast coding only works if checking can keep up.
Speed moved forward. Quality work moved downstream, without the context the code was written from.
Sources: Faros, The AI Productivity Paradox, 2025 (10,000+ developers, 1,255 teams) and Faros, The Speed Trap, 2026 (22,000 developers, 4,000 teams).
The missing context
Software changes faster than a team can reconstruct what each change depends on.
Part of the bottleneck is volume. The part that lets problems through is context: the author didn't have it, the review didn't have it, and the tests were written from the same ticket.
- User flowWorkspace › Members › Remove
- DecisionInvitations expire after 7 days
- RequirementA workspace always keeps at least one owner.
- CoverageOwner protection
- IssueDuplicate audit rows on re-invite
- Decision #61Access removal must be immediate.
- RequirementInvite members by email
- Codebasebilling-service
- Issue #184A removed member kept authenticated access.
- DesignMember list
- The changeRO-218 · Remove workspace member
- CoverageAudit history
- Approved designReassign owned resources before removal.
- DecisionAdmins cannot demote themselves
- Productionmembership-service · 30 days
- Codebasemembership-service · session-service · realtime authorization
- User flowSettings › Ownership
- Codebasenotification-service
- Coverage · not coveredActive sessions are revoked on removal.
- RequirementOwners can transfer ownership
- DesignConfirmation dialog
Not what the change touches. What it was meant to do.
Robotesta reconstructs the product around each change before anything is written, and turns it into a quality contract: the list of what must be true.
How it works
It works out what must be true. Then it proves it.
One change, followed from the ticket to the release decision. Robotesta reads your stories, business rules, decisions, designs, code, tests and production signals, then does four things for every change, and keeps learning after it ships.
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01 · Ticket
Reviews the requirement
Finds the missing rules before anyone builds.
Jira · RO-218Can the only owner be removed? A workspace always keeps at least one owner.
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02 · Pull request
Reviews the pull request
Checks the change against the whole product, not only the changed lines.
GitHub · PR #491Decision #61 says access ends at once. Revoke sessions inside the removal transaction.
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03 · Evidence
Proves it, with evidence
Uses the checks you already have as evidence, and adds the missing ones only to prove a change is right.
Run #218-5 · staging4 passed. 2 reused, 2 new.
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04 · Release
Prepares the release decision
Puts the evidence in one view. A person says ship or hold.
Members and ownership4 of 4 rules covered. No open findings. Sentry: no new issues.
05 · After release
Release is where the learning starts.
Once a change is live, Robotesta keeps watching. It reads production errors from Sentry, links each one to the change behind it, and turns it into a check for the next release. Your team decides what makes the cut.
Back to 01: the next ticket starts with what this release taught you.
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Production · Sentry
New errors in exports-worker after release 2.14.
Becomes a check for the next change to scheduled exports.
Five rules it works by
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Quality contract
What must be true for a change, agreed before code is written.
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Reuse first
Your existing tests count. It writes only the checks that are missing.
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Diagnose, not just fail
A failed check says whether the product or the test is wrong, and where.
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Evidence on the ticket
Results go back to Jira and the pull request, where your team already looks.
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A human decides
Robotesta prepares the release decision. A person makes it.
RO-218 and PR #491 are illustrative. No customer data is shown.
Six people ship every change. You've heard all of them.
Robotesta gives each of them what they were missing.
Product owner
Sees on the story whether the change does what they asked.
Developer
Gets the review on the pull request: what it misses, what it might break.
Tester
Every change arrives already checked against its story, with the evidence.
Engineering lead
Sees per release which changes are proven and which are not.
Founder
Ships at AI speed without losing what each change was meant to do.
AI coding agent
Gives your agent the whole product context.
Where it works
Inside the tools your team already uses.
It reads from them, acts in them, and writes the evidence back to them.
Where it acts
- Jira
- GitHub
- Slack, after a person clicks
- The Robotesta web app
What it reads
- Confluence · Linear · Asana · Notion
- AIO Tests · Playwright · JUnit
- GitHub Actions · AWS
- Sentry
What it accepts
- OpenAPI
- JUnit XML
- OTLP
- Files and CSV
- Support tickets, as files or webhooks
- REST and webhooks
Third-party names are shown to indicate compatibility only.
Pricing · early access
Free while in early access. Plans as your team grows.
Every plan checks requirements and pull requests against what they were meant to do, with evidence. Plans differ in how many repositories, people and changes they cover.
Free forever
For one developer or a side project.
- Repositories
- 1
- People
- 2
- Changes a month
- 10
- Evidence kept
- 1 month
- Requirement review in Jira
- Pull request review in GitHub
- Evidence from your existing tests
- Evidence written back to the ticket
Team
For a product team shipping every week.
- Repositories
- 5
- People
- 10
- Changes a month
- 30
- Evidence kept
- 3 months
- Everything in Free, plus:
- Evidence from unit, integration and end-to-end runs
- Release decision view
- Reads Confluence, Linear, Asana, Notion and Sentry
Growth
For several teams and stricter release rules.
- Repositories
- 10
- People
- 50
- Changes a month
- 100
- Evidence kept
- 6 months
- Everything in Team, plus:
- Release policies, such as “auth changes need executed evidence”
- Production errors from Sentry
- Evidence intake: OpenAPI, JUnit XML, OTLP, CSV and webhooks
Enterprise
For many teams with their own requirements.
- Repositories
- Custom
- People
- Custom
- Changes a month
- Custom
- Evidence kept
- Custom
- Everything in Growth, plus:
- Limits and evidence retention sized to your organization
- Rollout planned with your engineering and QA leads
- Onboarding with the Robotesta team
Robotesta is in early access: ask for a place and we'll get back to you. Prices in US dollars a month; limits reset monthly. Enterprise is priced with you.
Straight answers
What teams ask us first.
- Does it replace our QA team?
- No. It does the repetitive checking, so your testers can focus on judgement and the risky areas.
- Does it catch everything?
- No tool does. It shows what a change touches and what was tested, so the release decision is better informed.
- How does it connect to our code?
- You connect Jira and GitHub in a few clicks once you have access. Robotesta reads from your tools and changes nothing in them.
- Who decides what ships?
- A person. Robotesta brings the evidence; your team says ship or hold.
- How much is it?
- Free forever for one repository. Team is $49 a month and Growth $100 a month; Enterprise is priced with you. The limits are in Pricing above.
- How do you handle our code and data?
- Robotesta reads from your tools and changes nothing in them, and nothing is posted until a person presses the button. We answer your security team’s questions before you connect anything.
Bring one PR. Leave knowing what it would have broken.
Thirty minutes, your Jira, your repo. You leave with the quality contract for one real change: what must be true, what is already covered, and what Robotesta would check, before anything is written.
Product, engineering, QA and technical leaders welcome. Or write to sam@robotesta.ai