Agentic testing, end to endZenQraft is an all-in-one agentic testing framework. Agents work out what your system actually needs — then build it, run it, and keep it current.
Evidence for release
Risk-led testing evolves with the product.
They have a strategy problem that shows up as a testing problem. These are the three shapes it takes.
A large suite that reports green and catches nothing anyone cares about.
Performance, security and accessibility arrive as a pre-launch audit, not a practice.
Frameworks chosen by preference, then abandoned when they stop paying rent.
“We have thousands of tests and we still ship regressions.”
“Our pipeline is red most mornings and nobody trusts it.”
“Nobody can tell me what our test suite actually guarantees.”
— What engineering leaders tell us before a ZenQraft assessment.
Five stages, each with an artefact you can hold. Engagements can start at any stage — most start at Assess, because most teams do not yet know what they have.
What you actually have.
We inventory the real state of quality: what is tested, what is claimed, and the distance between them. Suite composition, flake rate, pipeline duration, escaped-defect history, environment and test-data reality.
What that means in practice
ZenQraft is an agentic testing framework: it decides the strategy, generates the tests and the framework around them, writes the instructions your team works from, and keeps the reports and dashboards current. One agent per stage of the arc — the same five stages above, each with an artefact you can hold.
Reads the repository and CI history, maps every test to the behaviour it protects, and measures flake and runtime rather than lines covered.
Proposes what belongs in unit, contract, API, UI or exploratory — with the cost argument attached. A draft to argue with, not a template.
Ranks findings by risk retired per unit of effort, and says what each one costs to hold.
Writes the framework, not just the tests — page objects, data builders, CI wiring, and the notes to extend it. In your stack, your conventions.
Separates app bugs from environment noise and spec drift on a schedule. Verdicts reach humans; noise stays in the agent.
ZenQraft’s agents connect through the Model Context Protocol, the open standard for giving a model real tools. That is the difference between an agent that reports a suite as passing because the code looks correct, and one that drove the browser and watched it happen. We have measured that gap: parallel browser agents cleared a 200-case suite in 28 minutes against 90 sequential, and the run that silently fell back to reading source returned green results worth far less than they appeared.
A real browser, so a passing test means the journey worked — not that the component compiled.
The diff, the pipeline history and the failure output. Without them an agent is guessing at why a build went red.
Turns "the test passed" into "the release is healthy" — a green suite is not a working system.
Issue trackers, test management, internal services. MCP is an open protocol, so the same agents reach whatever your team already runs.
The agents do the volume. A senior quality engineer still owns the risk model, the non-goals and the release call — because those are judgements, and an agent that makes them unsupervised is the failure mode this framework exists to prevent.
Each discipline answers a different question and belongs at a different point in the pipeline. Treating them as one undifferentiated “testing” budget is how teams end up with slow suites that miss the things that matter.
Does the journey a customer actually takes still work?
Thin and deliberate. UI tests cover journeys that cannot be proven cheaper at a lower layer — nothing else.
Runs at
Per PR (smoke) · nightly (full journeys)
Typically
Do the contracts between services hold?
Where most functional coverage belongs. Fast, stable, and precise about which side of an integration broke.
Runs at
Per commit · contract checks on every deploy
Typically
Does it hold on real devices, not just simulators?
Device-matrix testing driven by your actual analytics — not the newest handset in the office.
Runs at
Per release candidate · nightly on device cloud
Typically
What breaks first, and at what load?
Baselined early and tracked as a trend. Finding the ceiling a week before launch is finding it too late.
Runs at
Baseline in CI · full profile per release
Typically
What would an attacker reach first?
Shifted into the pipeline — dependency, secret and static analysis on every commit, with depth testing at milestones.
Runs at
Every commit (SAST/SCA) · milestone pen tests
Typically
Can everyone actually use it?
Automated checks catch roughly a third of WCAG issues. The rest needs keyboard and screen-reader testing, so we do both.
Runs at
Per PR (automated) · manual audit per milestone
Typically
Tooling is listed as typical, not fixed. The strategy chooses the stack — picking the framework first is how teams end up with two abandoned ones.
If a principle cannot be disagreed with, it is not a principle. These are ours.
A coverage number says how much code ran, not whether the business is protected.
If a contract test proves it, a UI test should not. The pyramid is a cost argument.
A suite nobody trusts is worse than no suite. We hold a flake budget and defend it.
Performance, security and accessibility ship in the pipeline from week one, not in a pre-launch audit.
We hand over documentation and pairing, not a repository. Automation only its author can extend expires.
We write the non-goals down, so gaps are decisions on record rather than discoveries in production.
ZenSpark shapes the brief. ZenForge turns it into software. ZenQraft brings quality evidence into the journey—from requirements through operation.
Research the problem, resolve scope and make functional and cross-functional requirements explicit. The product owner approves the decisions.
Translate the brief into specifications and tasks, build with engineers in the loop, review changes and carry the system into production.
Assess risk, shape the testing strategy and automate the right checks. Keep that evidence current as the product and its operating conditions change.
You are here · ZenQraft
The result: a shared thread from product intent to release evidence, with explicit decisions, reviewable changes and feedback that improves the next iteration.
A ZenQraft assessment gives you a quality baseline report and a prioritised roadmap — whether or not we build the automation afterwards.
