AutoDoc DocGenerator connects to your codebase, GitHub, and Jira — and keeps every PRD, user story, and acceptance criteria automatically current with what's actually built. No manual updates. No stale specs.
AutoDoc watches every commit and keeps your documentation in sync
Claude Code ships features in hours. AI agents open PRs overnight. Your PRD is from last Tuesday and your grooming ceremony still runs like it's 2020. Something has to give.
The gap between these two lines is where your team loses weeks, ships wrong features, and rewrites specs. AutoDoc closes it.
Not generic "documentation challenges." Specific moments in the sprint where the velocity gap bites hardest.
Static documents in a dynamic development world
You spend Tuesday through Thursday writing a detailed PRD. Sprint starts Tuesday the following week. By Wednesday, your senior engineer has used Claude Code to ship 40% of the feature — built to their interpretation, not section 3.2 of yours.
Two more engineers build against the wrong spec before you catch it. Rewrites. Scope debates. The PRD didn't fail because it was poorly written. It failed because it was static in a system that moves in real-time.
Every static PRD that diverges from implementation adds to the debt. For mature products, that gap between what the doc says and what the product does is measured in years.
You know the product deeply — from a user perspective. But the codebase has 847,000 lines of code, 11 microservices, a legacy auth system ported from a 2018 monolith, and six years of accumulated business logic.
When you write acceptance criteria, you're writing against your mental model — not the actual, current, technical reality. Every estimate, every "done" definition, every AC is based on what you think is in the codebase. Not what's actually there.
Everything above the waterline — Confluence, Jira, your PRD — is maybe 10% of what exists. The other 90% is real API behavior, undocumented edge cases, and 847 commits of micro-decisions nobody wrote down. You're making decisions about 100% of the product with 10% of the information.
The technical opacity of mature products in 2026
Story points built for manual code; velocity built with AI
Engineers vote on story points while privately thinking "I'll use Claude Code — two hours, three points." Your acceptance criteria were written for a human building step by step. The AI agent is going to interpret the feature holistically and make a dozen design decisions you weren't consulted on.
Your ACs were written for a 2020 workflow. The implementation is happening in 2026.
A human building sequentially over 3 days with natural clarification checkpoints
An AI agent that made 12 micro-decisions you were never consulted on
There are 6 of these problems. We wrote up all of them.
"Done" is a lie. Discovery never makes it into code. New PMs fly blind. Read the full breakdown.
The PRD was designed for a world where requirements were written before code existed. Engineers implemented exactly what was specced. That contract made sense.
In 2026, Claude Code prototypes a feature in hours. The implementation happens first. The PRD gets written retroactively — if at all. By Day 3 of any sprint, your spec is already out of date.
The world needs a new kind of PRD. One that's connected to the living product. One that updates automatically as the codebase evolves. That's what AutoDoc builds.
How a static PRD decays vs. an AutoDoc dynamic PRD
Every commit your team pushes keeps the AutoDoc PRD accurate
It connects to your entire development ecosystem and does one thing no other tool provides: gives you a real-time, PM-intelligible understanding of your actual product — directly from the codebase, automatically kept current with every commit.
Connect in. Get out.
Three PM workflows, completely transformed. Not generic AI features — specific tools built for how principal and VP-level PMs actually work.
Connect AutoDoc to your GitHub and Jira. When you create a new PRD, it's generated from your actual codebase context — not from a blank document. When engineers ship changes, your PRD reflects them within minutes. No manual updates. No stale specs.
Before every grooming session, AutoDoc generates a technical brief for each story: what currently exists in the codebase, what the related systems do, what was done in similar past work, and what questions the team should debate. Engineers and PMs are aligned before the meeting starts.
Stop interrupting engineers to ask "what does the payment flow actually do?" Ask AutoDoc. Get a clear, PM-level explanation drawn directly from your codebase — in under 30 seconds.
Open blank document. Start writing PRD from memory + old Confluence pages.
2-3 days workMessage senior engineer: "Quick question about how the export pipeline works." Wait for response.
Interrupts engGrooming prep: read through tickets. No context on what currently exists in codebase. Hope the team fills in the gaps.
Flying blindWrite acceptance criteria. Realize mid-way you don't know if the feature partially exists already.
GuessworkPRD is 40% done. Blocked waiting for 3 engineering responses. Sprint planning is tomorrow morning.
BlockedOpen AutoDoc. Ask: "Generate a PRD draft for bulk export v2 using our current codebase." PRD ready in 90 seconds.
90 secondsAutoDoc flags: "Export queue has an undocumented 50k record cap." First time you've known this.
New insightGrooming briefs auto-generated for all 8 stories. Each includes current codebase context, related past work, and discussion points.
All 8 storiesWrite acceptance criteria using AutoDoc's technical grounding. Every AC maps to what actually exists. Zero guesswork.
Fully groundedPRD complete, reviewed, shared. Engineers say: "This is the most technically accurate PRD we've seen from a PM."
Done by 2pmNo engineering work required. No code changes. No custom setup by IT. You can do it yourself in half a day.
OAuth authorization — no passwords, no tokens to manage. Select the repos and projects you own. AutoDoc gets read-only access.
While you're in meetings, AutoDoc analyzes your entire codebase, commit history, open and closed tickets, documentation, and past PRDs.
Open the AutoDoc chat. Ask anything: "What does our payment system actually do?" or "Where are the biggest technical gaps in our API?"
Start a new PRD and let AutoDoc pre-populate it with technical context. Or generate grooming briefs for every story — delivered the night before.
From this point, AutoDoc monitors your codebase continuously. Every merged PR, every closed ticket, every architecture change is reflected in minutes.
The questions we hear from product managers before they try AutoDoc.
AutoDoc was specifically designed for non-technical PMs. It reads and analyzes code on your behalf and translates everything into plain language. You ask 'what does our checkout flow do?' and get a clear, PM-level explanation — not code snippets. The entire interface is built around how PMs think and work. You don't need to understand a single line of code to get full value.
AutoDoc is designed specifically for large, complex, mature codebases — that's the primary use case. Clean, greenfield projects don't need codebase intelligence tools; the team already understands the full product. It's the 6-year-old product with 800k lines of code, undocumented legacy behavior, and multiple engineering generations that needs AutoDoc most. It supports 40+ languages including legacy stacks.
AutoDoc is the PM layer that complements agentic engineering tools — it's not a replacement for them. Your engineers keep using Claude Code and Cursor to ship fast. AutoDoc ensures the PM side of the process (PRDs, ACs, grooming, acceptance, documentation) keeps pace with that velocity by staying connected to the live codebase.
Generic AI models don't have access to your actual codebase. When you ask ChatGPT 'what does our payment system do?', it answers based on general knowledge — not your specific implementation. AutoDoc is connected to your GitHub, Jira, Confluence, and more. Every answer is grounded in your real, current product. AutoDoc knows your actual rate limits, your specific API design, your real error flows, and your particular technical debt.
A Dynamic PRD is a living document that stays connected to your codebase. When it's created, AutoDoc pre-populates it with current technical context from your GitHub and Jira — so requirements are grounded in what already exists. When engineers ship changes during a sprint, AutoDoc detects the relevant code changes and updates the PRD automatically. You're alerted when gaps open between requirements and what was built.
Zero additional work for engineers. AutoDoc reads what already exists — code, commits, PRs, Jira tickets — and generates documentation from it. Engineers don't need to add comments, fill in templates, or update any documentation. If anything, AutoDoc reduces engineering interruptions because PMs stop asking engineers to explain what the codebase does.
AutoDoc uses OAuth integrations (read-only access) — we never ask for passwords or write access. Your code is analyzed in an isolated, encrypted environment and we are built to SOC 2 Type II standards (certification expected Q2 2026). For enterprises with strict data governance needs, AutoDoc offers full self-hosted deployment on your own infrastructure — including support for local AI models — so your code, your data, and your analysis never leave your environment at any point. Nothing touches an external API. Nothing is stored outside your control. We work with your security and legal teams directly to meet your requirements.
Most PMs generate their first grounded PRD or grooming brief within 4-6 hours of initial connection. Setup takes under 30 minutes. The AI analysis runs in the background for a few hours. The first time you ask AutoDoc a technical question and get an accurate, source-cited answer in 30 seconds instead of emailing an engineer and waiting two days — that's when it clicks.
No — AutoDoc integrates with and enhances your existing tools. Your Confluence pages, Jira tickets, and PRDs stay where they are. AutoDoc reads them as context and writes generated documentation back to them. Think of it as a documentation intelligence layer that sits on top of your entire dev ecosystem.
AutoDoc also automatically generates CRA-compliant SR&ED documentation (Canada) and IRS-compliant Form 6765 documentation (US) from your GitHub and Jira — a major additional benefit for finance teams. Read our SR&ED guide and US R&D guide for details.
Your product decisions should be grounded in the same reality they build from.