EXIT83 AI
EXIT83 · AI Enhanced QA

Ship more.
Regress less.

AI Enhanced QA for small engineering teams. An expert team supercharged with a library of AI skills catches the boring stuff so your developers can stay on the roadmap.

  • Expert QA team, supercharged with AI. Unlimited bug reports.
  • AI skills automate regression, smoke and exploratory sweeps.
  • No hiring, no management overhead, no fixed headcount.
See what's included →
/ strategic QA partner

Point the team at what matters.

You're not buying test hours. You're buying protection where it matters most to your business. Pick one emphasis, blend a few, and shift the mix as your business shifts. We recalibrate every month.

01
Top 20 customer journeys
We map the flows your users actually take (signup, checkout, invite, upgrade) and keep them green on every release. Journey coverage, not line coverage.
journeys
regression
02
Revenue defense
Focus on the surfaces where breakage costs money: checkout, billing, pricing, quotas, webhooks. Dollars-at-risk framing, fast blast-radius triage.
critical paths
monitoring
03
Code coverage
Close the gap between what's written and what's tested. Skills generate unit, integration and contract tests against untested code paths in your existing framework.
test generation
coverage lift
04
Automation suite development
Build out the E2E and regression suite you always meant to have. Playwright, Cypress, Detox. The team lands a maintained, documented suite you own outright.
suite build
handoff-ready

Most teams blend two. The mix is set at kickoff and recalibrated every month as your business shifts (new pricing launch, Series B growth stage, compliance push) so the coverage always tracks what's actually at stake.

/ why this exists

Small teams are stuck between three bad options.

Most product teams under 25 engineers don't have real QA. Every path forward has a catch. So we built a fourth.

01 · The status quo
Devs QA their own code
  • The author of the code decides it works
  • Regressions ship; no one owns the backlog
  • Engineers chase bugs instead of building
Cheapest on paper. Most expensive in velocity and trust.
02 · Hire a QA engineer
One full-time headcount
  • Three-month hire, plus ramp, plus management
  • Full-time salary plus benefits, overhead and management time
  • Coverage capped at what one person can run in a day
Real coverage. Slow to stand up, brittle once it's there.
03 · Outsource to a QA shop
Ticket-shop contractors
  • Different tester every cycle; no product memory
  • Vague bug reports that need triage before dev
  • Release cadence slows to match theirs
Feels like coverage. Mostly a coordination tax.
+
04 · A fourth option
AI Enhanced QA

One senior EXIT83 QA engineer, supercharged with a private arsenal of AI agents trained on your codebase, does the work of a full QA team. Regression sweeps, exploratory runs, visual diffs, and structured bug reports happen on every PR. The expert owns the relationship. The machines do the volume.

  • Running inside two weeks. No hiring, no ramp.
  • One human in the loop. Hundreds of test passes behind them.
  • Scope up, scope out, or stop at the end of any month
/ what the team does

The boring stuff, automated.

Our AI enhanced QA team reads your codebase and product, writes tests, runs sweeps, and files structured bugs. Humans handle the judgement calls.

01
Test generation
Reads PR diffs and spec files, generates missing unit, integration and E2E tests in your existing framework.
02
Regression sweeps
Runs full regression on every release candidate. Bisects failing builds to the guilty commit.
03
Exploratory testing
Fuzzes inputs, walks flows outside the happy path, probes edge cases humans forget.
04
Agent-actionable reports
Structured bug tickets with repro, logs, diffs, suspect file ranges and fix hints, formatted so your coding agent can act on them without a human translating first.
05
Cross-platform matrix
Chromium, WebKit, Firefox, iOS and Android targets. The kind of coverage a solo human skips.
06
Weekly QA report
Monday-morning summary: what shipped, what broke, pass rates, top risks. No dashboard to log into.
/ structured bug reports

Bugs your coding agent can fix.

Every finding is filed as a Markdown report. Readable by a triage lead and by your coding agent without reformatting. Repro steps, stack traces, suspect file ranges and fix hypotheses, all in one ticket that drops straight into Claude Code, Cursor, Copilot Workspace or your own agent pipeline.

/ why structured

One report. Humans and agents both read it.

Plain Markdown. The triage lead scans it in Linear. The coding agent ingests it as a prompt. Same document. No copy-paste, no reformatting, no "what did QA mean by this?".

01
Deterministic reproExact URL, auth state, seed data, viewport, and a replayable step trace. The agent can re-run locally and observe the failure before touching code.
02
Located in the codebaseSuspect files and line ranges, git blame on the last-touched lines, and linked PRs, so the agent starts where the regression lives, not at src/.
03
Hypothesis, not prescriptionA proposed cause and a fix hypothesis the agent can test or discard. Coverage expectations are listed so it knows when it's done.
04
Drop-in formatPosted to Jira, Linear or GitHub as Markdown. Humans read it natively, agents parse it natively. Flip one label and your agent picks it up autonomously.
QA-4812.md
repro.har
trace.mp4
Linear · agent-ready
# QA-4812 · Checkout: tax recalculated as 0 when coupon applied after address

Severity: high
Env: staging · build a7f2c1e
Reporter: EXIT83 AI Enhanced QA

## Summary

On the staging checkout, applying coupon SAVE10 after entering a New York
shipping address causes the tax line to recalculate to $0.00. Expected
behaviour is a non-zero tax based on the ship-to jurisdiction.

## Steps to reproduce

1. Go to /cart as seeded user buyer_03 (seed 81427)
2. Click [data-test=checkout]
3. Fill address: 350 5th Ave, New York, NY 10118
4. Apply coupon SAVE10
5. Observe the tax row

## Expected vs. actual

- Expected: tax > 0, computed against NY jurisdiction
- Actual: tax == $0.00, displayed as “No tax applies”

## Evidence

- Video: trace.mp4 (0:14, coupon applied)
- Network: repro.har · POST /tax/quote served from cache
- Console: TaxService: cached quote reused after cart mutation

## Suspect code

- src/checkout/taxQuote.ts L88–131 · last touched in #2041
- src/checkout/applyCoupon.ts L44–62

## Hypothesis

> applyCoupon mutates line items but does not invalidate the tax quote
> cache, which is keyed on subtotal. Any cart mutation should bust the cache.

## Fix hints

- Call taxQuote.invalidate() inside the applyCoupon reducer
- Re-key the cache on cartVersion instead of subtotal

## Regression coverage expected

- checkout.tax.couponApplied
- checkout.tax.addressChanged

<!-- agent-ready: true · confidence: 0.84 -->
markdown agent-ready compatible: Claude Code · Cursor · Copilot Workspace · custom
/ the engagement

One engagement. Everything included.

Every engagement is scoped to the shape of your team. Pricing starts where most small product teams land and moves up or down from there.

01 · AI Enhanced QA
Scoped to your team.
Expert EXIT83 QA team · Month-to-month · Pricing on request
What's included
  • Expert QA team as your single point of contact
  • Full AI QA skill library, tuned to your repo
  • Regression, smoke and exploratory sweeps on every release
  • Agent-actionable bug reports, ready for Claude Code, Cursor or your own agent
  • Slack or Teams channel with same-day response
  • Weekly QA report, monthly calibration
/ faq

Questions, answered.

No. We extend it. Your existing unit and integration tests stay in place; our skills fill the gaps, run regression and exploratory sweeps, and surface issues that your CI was never going to catch on its own.
Yes, under a signed MSA and NDA. The skills run against a read-only clone of your repository and against a staging or dedicated QA environment you provision. No production data touches our side unless you explicitly opt in.
Web: Playwright, Cypress, Jest, Vitest, Pytest. Mobile: Detox, Maestro, XCUITest, Espresso. If you are on something exotic, we can usually adapt, but we will tell you in the intake call if the match is poor.
Straight into Jira, Linear or GitHub Issues, tagged with the AI Enhanced QA label and triaged by the EXIT83 team before they hit your developers. Each ticket has repro steps, environment, console logs, a short video and a severity suggestion.
An expert EXIT83 QA team, sized to your engagement. You get named points of contact who know your team, your product, and your Slack. Backups are briefed so there is cover for vacations and sick days.
30 days notice, by email. No rolling commitments, no surprise renewals. We would rather have a short engagement that helped than a long one that did not.
· 30 minute intro call ·

Stop shipping regressions. Start shipping faster.

Book a 30-minute call. We will walk through your current QA setup, show you the skills running live, and tell you honestly if we are a fit.