For product and product marketing teams

Specs from the code going in. Release notes from the code coming out.

Before a build, ProdE checks a PRD against the existing code: what the feature touches, what already exists, where the edge cases are. After it ships, ProdE writes the release notes and updates the docs from what was actually merged.

Before ProdE

Mid-build surprises cost weeks and credibility.

01

The spec is drafted without the system

A PRD described the feature but not everything it would touch. The AI that drafted it had never read the code.

02

Every question goes to engineering

Product managers used to wait 2 to 3 days on engineering for an answer about how the product works.

03

The surprises come mid-build

Edge cases turned up in development, QA or design review, when they were most expensive to fix.

What your team can do

Your team asks. The code answers.

Technical answers without bothering engineers

Get answers to technical questions yourself, in a single session, and write requirements against the real implementation.

Documentation for other teams

Tony at HData built sales material from ProdE's documentation in one morning. Surventrix uses it to create training material for their field teams.

Turn an idea into an agent-ready spec

ProdE checks each feature against the existing system, flags what it will affect, and breaks the work into tasks that engineers pull into their editor.

Test the spec against the real code

Edge cases found in planning, not in QA.

For product marketing

Launch from what shipped, not from what was planned.

The spec said one thing. The merged code is what customers get.

Release notes, written for you

ProdE writes release notes from what was actually merged, in language customers can read. No more chasing engineers for what went out this sprint.

External docs that match the product

When the code changes, ProdE updates the customer-facing docs built from it and flags pages that no longer match, so customers never read about behaviour that is gone.

Positioning grounded in the real feature

Ask what a feature does, its limits and how it differs from the old version, before you write the launch page. Every answer cites the code.

Customer success knows on launch day

The same release notes reach customer success, with the list of customers who asked for the feature, so the right people hear about it first.

In practice

How Attentive AI, Leena AI and DIRO use it.

PRDs arrive at engineering already checked.
01

Ask before writing

Leena's product managers get the answer themselves in a single session, and write requirements against the real implementation instead of assumptions.

02

Check the PRD against the system

PMs at Attentive refine PRDs in ProdE. It checks each feature against the existing system, flags what it will affect, and adds the team's development practices.

03

Break it into tasks

It breaks the work into tasks that engineers pull into VS Code over MCP. The edge cases get found in planning, not in QA.

04

Developers plan like PMs

At DIRO, developers write technical specs in ProdE, grounded in how the 100+ repos actually connect, and push the tickets to Jira. Around 60% of new-feature tickets start there.

Leena AI

15 to 30 min to get an answer that used to take 2 to 3 days

Leena AI

12% of all questions are planning a feature

Attentive AI

2,400 product questions answered against the code in seven months

DIRO

68 projects in ProdE, about 190 stories, tasks and subtasks
Abhishek Tayal

"ProdE is essential for any high-growth product team. It helps us ship documentation in record time and provides high-level technical and UX insights that keep our team aligned."

Abhishek Tayal · VP Product, Leena AI

This is what your agents build from.

Planning turns an idea into a spec grounded in your codebase and converts that into tasks your coding agents can execute. See what your agents get
For your engineering team

Send this part to your head of engineering.

ProdE needs read-only access to the repos you choose. Nothing else.

It only reads your code

ProdE cannot change, commit, merge or push anything.

It never trains on your code

Your code is never used to train any model.

It never touches your running systems

ProdE reads the code. It does not connect to your application or your production data.

ISO 27001 certified

It runs in ProdE's cloud or on your own servers.

Kept current

Answers stay current with your code on a scheduled sync, as often as daily.

Works with your coding agents

Claude Code, Cursor, Codex, Copilot and any MCP client connect to it.

See it on your own codebase.

Connect your repositories to ProdE. Your team and your coding agents get the same map of the system.