Teams shipping with AI agents
When AI coding agents write the code, Microfilm keeps a signed, traceable record of what was tested and why each change is trusted — and hands those same structured facts to your agents through an MCP server, so the fix loop starts informed instead of guessing.
When AI coding agents are writing and changing code fast, the open question is trust: what was actually tested, and why do you believe this change is safe to ship? Microfilm keeps a signed, traceable record of the QA behind every change — and feeds your agents the same structured evidence through a native MCP server, so the fix loop starts from what actually happened.
Availability · Capture and signing are free forever on the desktop app. The MCP server, ticket integrations, and traceability matrix are Team-and-up cloud features.
What Microfilm is · Microfilm is a desktop app and cloud service that records software QA testing as it happens and turns it into signed, tamper-evident, audit-ready evidence — readable by both human auditors and AI coding agents.
The pain
AI coding agents generate and change code faster than a team can manually document what was checked. The risk isn’t just bugs — it’s that nobody can say, after the fact, what was tested and why a change was trusted. And an agent handed a one-line "it’s broken" guesses at the fix, burning tokens and time on a problem it can’t actually see.
How it maps
Microfilm runs the same four steps the rest of the site does — Capture, Sign, Hand off, Trace — but here the hand-off has a second reader: the coding agents on your team.
Each session is captured against the requirement and the change under test — screen, narration, and what the tester observed — as the work happens.
Every change carries a signed, append-only record — the requirement, the tests run, what was observed, and who attested it — so trust in an agent-authored change is backed by evidence, not assertion.
A failure routes to the ticket and to your coding agents through a native MCP server — the requirement, expected result, what was observed, and a link to the capture — the same structured context, read two ways.
Requirement → test → evidence → signature stays linked as agents move fast, so the proof keeps up with the change and there’s no separate “agent version” of the truth to drift.
For your coding agents
The same signed evidence a developer reads on the ticket is exposed to your coding agents through a native Model Context Protocol (MCP) server — structured, not a screenshot they can’t parse. The fix loop starts from what actually happened.
Point your agents at Microfilm’s MCP server and they read the QA evidence directly — no scraping screenshots, no copy-pasting logs into a prompt.
On a failed test the agent gets the requirement, the expected result, what the tester observed, and a deep link to the capture — the facts it needs to reproduce and fix, in a shape it can act on.
The tester, the developer, and the agent all work from the same signed record. There’s no separate “agent version” of the truth to drift out of sync.
Because the agent’s first attempt is grounded in what actually happened — not a one-line “it’s broken” — it spends fewer cycles guessing and more landing the fix.
FAQ
No. Microfilm records and proves the QA behind a change and feeds agents structured context to fix failures — it doesn’t review or certify the code itself. The decision that a change is safe to ship stays with your team; Microfilm gives you the evidence to make and defend it.
Through a native Model Context Protocol (MCP) server. When a test fails, the agent reads the requirement, the expected result, what the tester observed, and a link to the capture — the same structured evidence a human developer sees — so its first fix attempt is grounded in what actually happened.
That for any change — including one an agent authored — there’s a signed, traceable record of what was tested, what was observed, and who attested it. You can answer "why do we trust this?" with evidence rather than a claim.
Capture and signing are free on the desktop app. The MCP server, ticket integrations, and traceability matrix are cloud capabilities on the Team plan and up.
Microfilm records and proves the QA behind AI-assisted changes; it does not review or certify AI-generated code on its own. The decision that a change is safe to ship stays with your team — Microfilm gives you the evidence to make and defend it.
Create a workspace for your team, or download the free capture app and record your first session.