Knowledge infrastructure for your team and your agents
Before ProdE, every question from
product managerswent to an engineer.
Every team gets technical answers from the code without interrupting an engineer. So do their coding agents. Ask in the web app, in Slack or Teams, or from the agent you already use.
ProdE gathers what your company knows, keeps it true to the code, and puts it to work.
The piece your agents need, and the one thing you own. LLMs come and go. Your context is forever.
Every source, checked against the code
ProdE connects your repos, Confluence, Notion, Jira, Linear and Slack. It reads every code change and checks your docs and tickets against the code, so outdated information is flagged instead of repeated.
The work that follows a change, done for you
Release notes from what was merged. Internal and external docs rebuilt when the code changes. Issues triaged, and Sentry errors traced to a root cause with a suggested fix, posted to Slack or Jira for an engineer to review.
The same correct answer, inside and outside
Every team asks in Slack or the web app. Customers read docs and release notes that match the product they use. Coding agents read the same map over MCP.
Case studies
A question about how a feature behaves for one client meant finding the right engineer, interrupting them, and waiting.
15,272 questions answered from the code in ten months. 93% of 166 people use it. Read Leena AI's case study →A bug report named one service, but the code that owned the behavior often lived in another.
7,000+ questions answered from the code in seven months. 40% of ProdE's traffic at Attentive is automated.Every change meant a meeting: all the stakeholders in the same room to work out how to implement it.
40 days to company-wide adoption. About 60% of new-feature tickets are now planned in ProdE. Read DIRO's case study →Spinny acquired GoMechanic and owned a codebase nobody on its team had built.
M&A codebase integration. With both codebases connected, product managers read GoMechanic's system themselves. Spinny's case study coming soonProdE becomes the backbone of your engineering organization.
Engineering, product, QA, support, customer success, solution implementation, sales and leadership work from the same source. So do their coding agents.Cross-repo intelligence for your engineers and their coding agents.
See how engineers use itYour clients ask what is possible. Then they ask what changed.
See how customer success uses itScoping, configuration and go-live all wait on the same few engineers.
See how solution implementation teams use itThe real state of your product and every initiative, without asking anyone.
See how leadership uses it"ProdE is the only tool we've used that actually understands our codebase end to end. Engineers and PMs trust it, and it cuts through a lot of back and forth."
Your coding agents get the whole system, and a plan to build from.
Claude Code, Cursor, Codex, Copilot, Kiro, OpenCode, Devin Desktop, Gemini CLI. Any MCP client.Coding agents get the whole system over MCP
Coding agents read the system map before they touch code, not just the repo they are open in.
A read-only shell over every repo
Agents search every repo, Jira and Confluence inside ProdE instead of cloning them. Indexed once, so the agent looks things up instead of re-reading the codebase every session.
Headless API for your harnesses, bots and pipelines
Everything ProdE answers is available over an API, so your own pipelines and bots can call it. Attentive's Sentry flow and Slack bot run on it.
From idea to agent-ready plan.
Planning turns an idea into a spec grounded in your codebase and converts that into tasks your coding agents can execute.
See planning"Our token cost crashed, the knowledge concentration problem is gone. Everybody's able to plan easily. We're using the codebase as a database now."
Integrations
Fits into your existing stackSecurity
Enterprise-grade, by default- No training on your code Enterprise API agreements with all LLM providers prohibit data retention and training
- Two-tier envelope encryption Per-team encryption keys with AES-256
- ISO 27001 certified Enterprise-grade compliance and audit readiness
- Role-based access control Member, Admin, and Owner roles with granular permissions
- Cloud or on-prem Deploy in your own infrastructure, on any cloud, for full control
- Answers without codebase access ProdE sits between your code and your people. Your team gets the answers they need without ever touching the repos. Answers match the role: a consultant gets the product answer, an engineer gets the file and line.
Leena AI YC S18: about 850 engineer hours returned every month, and 230 interruptions that no longer happen
Leena AI runs 53 repositories and 7M+ lines of code. Ten months in, 166 people across seven teams have asked 15,272 questions, and 103 coding agents read the same map. Five engineers' worth of time a month.
What teams are saying
"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."
"I've been actively using ProdE over the last couple of weeks and have tried most of the tools exposed through the platform. The overall experience has been very positive. The product is genuinely useful and works well for engineers."
"ProdE has made implementation of tasks way easier and quicker for my team, removing unnecessary fluff and focusing on execution."
"ProdE is one of the most important tools in Spinny's tool chain."
"Our customer success and sales teams come from civil and mechanical engineering, not SQL. With ProdE behind our Slack bot, they ask a question in plain English and the answer shows up in Slack."
"Without ProdE, every session we'd re-index the project and it kept taking lots of tokens. Now it's indexed in one place and we just run our queries."
"It did a great work in documenting complete flow. Specifically it separated and compared generic and client-specific implementations so well that anyone without KT will be able to understand the complete approach."
"You guys are building an amazing product. I would have loved to work on and build something like this."
"ProDe MCP Connector is Awesome."
Pricing
Transparent pricing. Base infra + LLM compute.Team
Usage-based
Base platform fee + metered LLM compute
- All features included
- Unlimited repos
- Per-user spending caps
- Pay for what you use
- MCP server access
- SSO & RBAC
Enterprise
Custom
On-prem + governance
- Everything in Team
- On-prem deployment
- Audit logs & compliance
- Dedicated support
- Custom integrations
- SLA & uptime guarantees
FAQ
Do you train on our code?
No. Your code is never used to train any models. ProdE has read-only access to your codebase. It never writes or modifies code. All data is encrypted with per-team keys using two-tier envelope encryption. ProdE is ISO 27001:2022 certified.
Does everyone on the team need access to our codebase?
No. ProdE sits between your codebase and your people. Team members get the answers they need without ever touching the code, so you don't hand out repo access just so people can get answers from agents.
Can ProdE run on-prem?
Yes. ProdE offers cloud and on-prem deployment, so your code intelligence can live entirely inside your own environment.
Does ProdE write or modify our code?
No. ProdE has strictly read-only access. It analyzes, indexes, and maps your codebase to provide intelligence, but it never pushes commits, opens PRs, or changes a single line of code. It's an understanding layer, not an execution layer.
Does it work for multi-repo and microservices?
Yes, this is the core use case. ProdE builds a knowledge graph across all your repositories, including legacy codebases, mapping cross-service dependencies, APIs, and data flows. Teams with 40+ microservices and 5M+ lines of code use ProdE daily.
Which git providers and languages does ProdE support?
ProdE works with GitHub, GitLab, Bitbucket, and Azure DevOps, and supports all major programming languages. It also connects to Jira, Confluence, Slack, and Notion.
How does ProdE keep codebase documentation up to date?
Automatically. ProdE re-indexes as your code changes and keeps its documentation and knowledge graph current, no human intervention needed. Answers and specs reflect the codebase as it is today, not as it was last quarter.
How does it work with Cursor, Claude Code, Copilot, and Devin Desktop (formerly Windsurf)?
ProdE runs an MCP server that gives coding agents direct access to your codebase: the system map, dependencies, generated docs and search across every repo. Instead of guessing from file contents alone, agents work with full system context: what exists, what's changing, and what the boundaries are.
We already have Copilot and Rovo. Why ProdE?
Rovo answers when you ask. ProdE also acts without being asked: a feature merges, it tells the people it affects. Rovo serves people who already have Jira and Confluence access. ProdE answers for the whole company, including people who will never get repo access. Copilot knows the repos you cloned. ProdE knows every repo and every branch, and hands that to Copilot over MCP.
Can non-technical team members use it?
Absolutely. PMs and leadership can ask questions about the system in plain English and review change impact, all without reading code. That's the whole point: unblock product teams from depending on senior engineers for every question about how the system works.
Can ProdE help with M&A due diligence?
Yes. ProdE maps your entire codebase into a knowledge graph with cross-service dependencies, API surfaces, and architecture diagrams. Teams use it to assess technical debt, understand system boundaries, and get a clear picture of what they're acquiring or integrating.
How long does setup take?
About 2 minutes. Connect your repos via OAuth, and ProdE auto-detects your languages, builds the knowledge graph, and indexes your codebase. No infrastructure to manage, no agents to install.
What does ProdE stand for?
Product Engineer. ProdE is an AI product engineer: it reads every repo you connect and answers questions about how your product works, for your team and for your coding agents.
Does it work on old or legacy codebases?
Yes. ProdE maps every function, class and API across your repos and works on legacy codebases and complex architectures. Spinny connected a codebase nobody on its team had built after acquiring GoMechanic, and product managers could read it themselves.
Can we ask from Slack?
Yes. Ask in Slack, in a DM or a thread, and the answer comes back there with references into the code. Nobody needs access to the repos to ask.
How does ProdE relate to Jira, Linear, or ClickUp?
Software delivery has outgrown task lists. Your ticketing tool tracks work items; ProdE grounds those work items in what your system actually does. It's system-aware planning that understands your codebase, maps dependencies across services, and keeps specs aligned with reality as code evolves. They work together. ProdE connects to Jira and Confluence, and adds the codebase intelligence those tools were never designed to have.
How does ProdE fit spec-driven development and tools like GitHub Spec Kit?
Spec-driven development works when the spec is grounded in your actual system. ProdE owns the layer before the coding agent: it researches your codebase, surfaces the decisions only a human can make, and produces agent-ready specs you can hand to any agent or spec-driven workflow.
Will ProdE reduce our token costs?
Rework is the expensive part of agentic development, in time and tokens. When agents work from approved, complete specs instead of guessing, iterations drop. As DIRO's CEO put it: 'Our token cost crashed.'
Can't our engineers build this?
They probably can. A harness over your docs and one repo takes one engineer about a month. The knowledge infra under it, built from the code and kept current across every repo and language, took us four people about a year, and needs one or two engineers forever after. Those engineers should be building your product. Build vs buy, in detail →
Ready to see ProdE on your codebase?
Setup in 2 minutes. See results on your own repos.