Full-context bug reports your AI agent can actually fix.
One click captures the whole bug: the UI, console, network request and response, and the exact repro. Your agent gets the full context over MCP and fixes it the first time, saving the back-and-forth and hours of re-explaining.
Submit button does nothing on checkout
Click handler throws at checkout.tsx:247
Captured context
agent-ready- Screenshot + annotation
- Console12 entries, 3 errors
- Network ResponsePOST /pay → Error 500
- Repro steps4 steps
- Browser + OSChrome 124, macOS
Your agent can’t fix what it can’t see.
An API breaks. Your agent needs the screenshot, the console, the failing request, the response body, the repro. You paste it in one piece at a time, and half the time it still guesses wrong.
Screenshot
Shows where, not why
Network request
The 500 the agent can’t see
Response body
The error buried in DevTools
Console + trace
Stack traces you hand-copy
Miss one piece, and it’s back to guessing.
BugContextFix
One capture collects everything your AI agent needs, then hands it off over MCP, or files it to GitHub, Linear, or Jira. Your agent fixes it; you review the PR.
Capture
One click on the ShotMark extension grabs everything your agent needs. No DevTools, no screen-share, no back-and-forth.
- Screenshot with annotations
- Console logs, warnings, stack traces
- Network request + response body
- Exact repro steps, recorded
- Browser, OS, and viewport, auto-filled
Hand off
The captured context is structured and delivered two ways at once, to your agent and to your tracker.
- MCP server connects to Claude or Cursor
- Issue filed in GitHub, Linear, or Jira
- Nothing to paste or re-explain
- Agent-ready format, not a screenshot
Fix
Your agent reads the full context and proposes a fix. You review the diff and merge.
- Agent has the body, console, and repro
- No guessing, no follow-up questions
- Review the PR like any other
- Bug to fix, not bug to ticket
Everything your agent needs. Nothing it has to ask for.
The same context you’d assemble by hand for Claude, gathered in one click and structured so an agent can act on it.
Network request + response body
The failing call DevTools makes you dig for: its headers, status, and the full response body. The 500 that broke the page ships with the bug, not later.
Agent-ready over MCP
Context reaches Claude or Cursor through ShotMark's MCP server in a shape an agent can act on, with no copy-paste and no re-explaining the repro.
Reliable repro steps
The exact path to the bug, recorded step by step as you hit it, so the agent reproduces it on the first try instead of guessing at what you did.
Console errors and logs
Every log, warning, and stack trace from the moment things broke, captured automatically so you skip the screen-share and the copy-paste.
Browser and environment
Browser, version, OS, viewport, and locale, every environment field a developer copy-pastes by hand today, filled in for you automatically.
Screenshot + annotation
A screenshot of the full page or a single region, marked up to point at exactly what's wrong so the agent fixes the right thing the first time.
Files the issue where you already work
More trackers planned. Tell us yours when you join the waitlist.
One pipeline. Three ways to ship a fix.
Whether you write the report, ship the code, or run the product.
You write the perfect report. It still bounces back.
Every ShotMark report carries the console, network request + response body, environment, and repro: everything an AI agent needs to act on. No more "what browser?" or "check the network tab." The answer is already in the report.
Reports your agent can fix, not just read
Screenshot + annotation
attached
Console
12 logs, 3 errors
Network + response body
POST /pay returned 500, captured
Repro steps
4 steps, recorded
Browser + OS
Chrome 124, macOS
No follow-up questions needed
Capture
full context attached
MCP server
Claude connected
GitHub
WEB-247 created
PR proposed
review the diff
"Checkout won't let me pay"
Customer report, just now
Auto-captured
You write the perfect report. It still bounces back.
Every ShotMark report carries the console, network request + response body, environment, and repro: everything an AI agent needs to act on. No more "what browser?" or "check the network tab." The answer is already in the report.
Reports your agent can fix, not just read
Screenshot + annotation
attached
Console
12 logs, 3 errors
Network + response body
POST /pay returned 500, captured
Repro steps
4 steps, recorded
Browser + OS
Chrome 124, macOS
No follow-up questions needed
Works on my machine. Not on theirs.
ShotMark captures the failing request with its response body, console errors, and exact repro, then hands it to your AI agent over MCP. Ask your agent to fix it instead of digging through DevTools.
From bug to PR without pasting context
Capture
full context attached
MCP server
Claude connected
GitHub
WEB-247 created
PR proposed
review the diff
Your customers hit bugs you never see.
Drop the ShotMark widget on your app. Customer reports arrive with full context: screenshot, console, network body, and repro. They route to your tracker and feed your agent, so you review the PR instead of chasing for a screenshot.
Every customer bug arrives agent-ready
"Checkout won't let me pay"
Customer report, just now
Auto-captured
68 tools we built because we kept needing them.
HAR viewers, JSON diff, JWT decoders, regex testers, and formatters: the small utilities every developer and QA opens mid-debug. The network and payload digging you do here by hand is what ShotMark captures in one click.
Notes from the AI era of building software.
What makes a bug report an AI can fix, how we test AI-built code, and what we’re learning shipping ShotMark in public.
I spent years on the QA side, writing bug reports I thought were airtight, and still hearing "what browser?" or "I can't reproduce it." Every round trip wasted more time, and the context that mattered never reached the person who had to fix it.
And almost every bug tool is built for the developer reproducing their own bug. Hardly anyone built for the people who catch bugs first, QA and your users, to hand that context off cleanly. So the feedback sits at the source and never reaches your developer or your AI agent in a shape they can act on.
That's what we're building. ShotMark collects the whole bug where it happens and routes it straight into your workflow, to your developer or your AI agent, ready to fix. No back-and-forth, no re-explaining, no time lost turning a bug into a ticket.
We're building it in the open, and I'd love for you to follow along.
Bug to fix, not bug to ticket.
What people ask before they join.
Be first to ship bugs straight to your agent.
One email when ShotMark is ready, plus founding pricing locked in and the occasional build-in-public post. No spam, unsubscribe anytime.