For SaaS teams without a QA hire

Auto-reproduce customer bugs with an AI QA agent

FixFirstly reads bug reports from your inbox, clusters duplicates, and dispatches an AI QA agent that signs into your app, reproduces the bug, and files a verified GitHub issue.

See a real run →

Scoped test account. Staging by default. Credentials encrypted. Sessions never logged.

app.fixfirstly.com
Priority issues
12 active clusters · sorted by impact
WeekMonth
Verified bugs
23
Reproductions
18 / 20
Filed to GitHub
15
Checkout — second card attempt never fires submit
12 reports · acme/shop · 2h ago
0.94
Inventory sync stalls on Facebook listings
7 reports · acme/shop · 24m ago
0.82
Delisting fails silently on rate-limit
5 reports · acme/shop · 1d ago
0.73
The aha moment

Watch the agent reproduce a real bug.

Twelve users said checkout breaks on the second card attempt. The agent signs into your staging app, runs the steps, and comes back with a session replay and a stack trace.

Inbox
app.fixfirstly.com/inbox
sarah@kit.co
Card declined — Pay doesn't fire
m.wong@hey.com
Pay stuck on second attempt
jamie@oss.dev
Can't checkout — page hangs
alex@hush.io
Tried 4x — no charge, page frozen
12 reports → 1 clusterVERIFIED

12 user emails, all describing the same checkout failure, collapse into one verified bug.

Repro
Agent run #2841LIVE00:24
Sign in as test user1.2s
Navigate to /checkout320ms
Add item to cart540ms
Enter card details2.1s
Click Pay — no submit firedFAIL
ReproducedWatch replay

The agent signs into your app with scoped test creds, walks the flow, and records every step.

Issue
acme/shop · #2841Open
Checkout — second card attempt never fires submit request
fixfirstly-bot opened this 2 hours ago
bugcheckoutp1

“Submit clicked — no network request observed.”

## Repro steps
1. Log in as test user
2. Add item to cart
3. Go to /checkout
4. Enter card details
5. Click Pay — submit fires, no request

A GitHub issue lands in your repo with repro steps, console logs, and a replay link.

Test-case authoring is a tax engineers pay because their users won't. Your users already wrote the test cases. They're in your inbox.

From scattered signal to shipped fix

Every channel. One inbox. Verified bugs.

Bug reports arrive from anywhere your users talk to you. FixFirstly clusters them, reproduces them, and sends the verified bugs straight to where your engineers already work.

Inputs6
Gmail
Slack
Zendesk
Intercom
Linear
CSV / API
FixFirstly logo
FixFirstly
classifyclusterreproduce
Outputs4
GitHub issues
Daily brief email
Slack alerts
Webhooks
6 channels in
4 destinations out
~24s per verified bug
See all integrations →
What it looks like in production

“FixFirstly turned three days of triage into a Monday-morning ranked list. We shipped two fixes before lunch.”

— Engineering lead, B2B SaaS · 12-person team

1,847
Bugs reproduced last 30 days
acme/shop · #2799
Cart total flickers to $0 between debounce and submit
Reproduced · 18s

A real issue the agent filed last week.

Built for paranoid founders

The agent runs on a leash. You hold it.

Scoped test account

You give the agent one test user with the permissions you choose. It never touches a real account.

Staging by default

Point it at staging. Production access is opt-in per workspace and requires a second confirmation.

Encrypted, never logged

Test credentials are encrypted at rest. They never appear in logs, traces, or replays.

Full audit trail

Every run ships with a transcript, a session replay, and a list of every network call the agent made.

Read the security details →
From inbox to issue

Four steps. No new workflow.

Connect your inbox

Plug in Gmail, drop a CSV, or POST to the public API. Bug reports start flowing in minutes.

Cluster and prioritize

Twelve reports of the same checkout bug collapse into one cluster, scored by frequency, severity, and revenue impact.

Dispatch the agent

The AI QA agent signs into your app, walks the reported steps, and reproduces the bug on staging.

Verified GitHub issue

A clean issue lands in your repo with repro steps, a session replay, console logs, and the original user quotes.

You don't need a QA team. You need a verified bug.

Most SaaS companies between 1 and 15 engineers will never hire a QA lead. You read bug reports between feature work, guess which ones are real, and lose half a day reproducing them. FixFirstly tells you what to fix first, then proves the bug exists before it hits your sprint.

I built this because I was the engineer doing that triage at 11pm on a Tuesday.

Everything around the agent

The boring parts, done right.

AI classification

Every message is tagged bug, feature request, confusion, or billing — automatically, with sentiment and severity.

Semantic clustering

Vector embeddings group the same bug across different wordings, languages, and angry tones.

Priority scoring

Clusters are ranked by frequency, severity, and the plan tier of the users complaining.

Gmail, CSV, API

Ingest support email directly, upload a Zendesk export, or POST from your existing helpdesk.

GitHub integration

Verified bugs become issues in the repo you pick, with the labels and assignees you set.

Daily brief email

One email at 9am with the top five clusters, new reproductions, and what to fix first.

Public API

Pipe messages in and pull verified bugs out. Auth via API key, documented, rate-limited.

Bring your own LLM key

SOON

Plug in your OpenAI or Anthropic key and run analysis on your own quota. Shipping next quarter.

FAQ

Questions engineers ask.

You create a dedicated test user with the permissions you choose. Credentials are encrypted at rest, never logged, and used only inside a scoped sandbox. The agent cannot promote itself to other accounts and every login appears in your audit trail.

Stop guessing which bug is real.

Connect Gmail, paste a staging URL, and watch the agent reproduce a bug — as soon as we open access.

Free during early access. No credit card.