Coverage library
Not a features list — the real checks that run against products like yours. Every topic below ships as an automated suite: UI flows in a real browser, contracts against the API, re-run on every deploy.
Two depths of coverage
Surface coverage
Start in minutes · no access needed
Pages, forms, user flows and public APIs — tested from the outside, exactly the way a visitor (or an attacker) sees them. Starts from nothing but a URL.
Deep coverage
NDA signed first · full access
We plug into your project properly: staging credentials, repositories, internal tools. That is how we reach what surface testing never sees. Every deep engagement starts with a signed NDA.
The library
The flows that lock users out when they break — and the ones attackers try first. The spider drives real sign-ins with test accounts and checks every unhappy path.
Revenue flows get the deepest coverage. Sandbox cards, declined payments, abandoned carts — tested on staging, never against real money.
Most regressions ship in the backend and surface later. Contract checks catch them in seconds, before any UI test would even load.
Every form is a contract with your users. The spider fills them like a hurried human — wrong, empty, pasted and double-submitted.
The bugs nobody notices until a customer sees another customer’s data. Role-based checks run as different users against the same resources.
Uploads fail in creative ways. The spider brings the whole zoo of files.
Where data volume meets UI state — the classic home of stale-cache and off-by-one bugs.
dApps break in ways classic suites never see — a UI that quietly disagrees with the chain. The spider tests both sides of the bridge, with emulated wallets and no real funds.
Not a load test — a tripwire. The spider tracks response times per page and endpoint and flags regressions against the baseline.
Web2 + Web3
Blockchain products break in ways classic test suites never see. The spider speaks both worlds — same loop, same tracker, same guarantees.
Connect, network switch, transaction signing — and the reject paths users actually hit. Tested with emulated wallets, no real funds at risk.
Contract calls exercised against testnets and forked mainnet: state changes, reverts, gas-estimation failures and event emissions.
The classic dApp bug is a UI that disagrees with the chain. The spider cross-checks rendered balances, positions and history against actual chain state.
From red test to filed ticket
The expensive part of QA is not finding the bug — it is the write-up, the screenshot hunt, the chase to get it in front of a developer. QA Spider closes that loop on its own.
01
No one has to reproduce it, screenshot it or write it up. The report is drafted the moment the test fails, from what actually happened in the run.
Steps to reproduce are built from the executed steps · failure screenshot attached · severity P0–P3
02
One click files it where your developers already work — as a proper ticket, in your project, with the reproduction and the proof attached.
Jira · Azure DevOps · ClickUp · GitHub Issues · Linear — duplicate-checked before filing
03
A failed run or a new bug shows up in your team chat with a link straight to the ticket. Nobody has to watch a dashboard to find out something broke.
Slack · Discord · Telegram — on failed runs and on filed bugs, quiet when everything is green
04
Every bug keeps a status until it is genuinely done — so “we fixed that already” is a fact you can check, not a memory.
Open → in progress → fixed → verified · filter by project, severity and status · screenshot kept with the bug
Pick the hours that matter — before standup, after every deploy, overnight. The suite runs itself and you read the result, not the calendar.
Pass rate, flakiness and open bugs by severity in one view — the numbers you need for a release call, not a wall of logs.
What a caught bug looks like
Not a red line in a log — a complete, reproducible ticket with a root cause and a suggested fix, plus the runs that produced it. Here’s a real example of what lands in your tracker.
Title
Description
Steps to reproduce · STR
Actual result · AR
Expected result · ER
Root cause
POST /api/promo returning 200 { valid: true, discount: 0 } for expired codes instead of rejecting them.Suggested fix
422 code_expired from /api/promo, surface the message inline, and keep the Pay button disabled while a code is invalid.Screenshot · trace attached
Recent runs
| Project | Env | Result | Time |
|---|---|---|---|
| c(client name hidden) | prod | passed214✓ 0✗ 0⚡ | 2m 14s |
| c(client name hidden) | staging | bug filed208✓ 1✗ 0⚡ | 3m 02s |
| p(client name hidden) | dev | flaky healed176✓ 0✗ 2⚡ | 4m 09s |
| g(client name hidden) | prod | passed88✓ 0✗ 0⚡ | 1m 47s |
Every deploy · nightly · on demand
Every bug lands like this — deduped, reproducible, with a root cause and a suggested fix — straight in the tracker your team already uses. Developers just fix.
Meet the Helper
Alongside the autonomous spider, the Helper takes a story from your tracker, checks it against your live app criterion by criterion, and writes the QA paperwork around it — plans, cases, checklists, bug reports. You review and approve; nothing touches a production-looking environment without your say-so.
Paste a Jira or Azure DevOps link and the Helper pulls the story and its acceptance criteria in. No copy-paste, no re-typing what the ticket already says.
Each acceptance criterion becomes a real test and runs against your live app — you get a pass or fail per criterion, not an opinion. Prod-looking environments ask first.
Test plans, test cases, smoke stories, regression checklists, edge-case sweeps and bug reports — grounded in your product, exportable to Markdown, CSV or Excel for TestRail, Xray or Zephyr.
A story you tested once can be saved into the project as a managed automated test — so tomorrow it runs on schedule with the rest of the suite.
Ticket in · tested on your live app · docs out · saved to the suite
Try the Helper →Manual QA vs QA Spider
Slide your real numbers in. The spider does the same pass in minutes — on every single deploy.
| Manual QA | QA Spider | |
|---|---|---|
| Regression per release | The parts someone had time for | Every flow, every release |
| Feedback after a deploy | Hours to days | Minutes |
| Nights & weekends | Someone clicks through checkout at 11pm | The spider does not sleep |
| Bug reports | "It broke on my machine" | Repro steps, screenshot, trace |
| When the UI changes | Re-learn, re-click, re-document | Suite heals itself |
| Cost as you grow | Scales with headcount | Flat per project |
Your numbers
Manual hours / month
0 h
Spider runtime / deploy
9 min
Saved / month vs $990 plan
$0
Pays for itself
8.5×
Assumes 20 minutes to execute and document one flow by hand, $990/mo Orb Weaver plan, spider tests running in parallel. Your mileage will vary — that’s what the pilot crawl is for.
Drop your URL on the homepage — the spider drafts a coverage plan for your actual pages in about a minute.