Software planning for agentic development.
Like Cursor, but for product management.
A shared workspace where PMs and engineers collaborate on living specs, grounded in your codebase across repos, services, and legacy systems. Your single source of truth that stays aligned as code evolves.
- Surface ideas from customer calls
- Rank by business impact
- Flag what's already deployed
- Gaps and risks surfaced instantly
- Flags decisions only humans can make
- Team aligns and collaborates in one place
- Product, UI/UX, engineering specs
- Mockups and acceptance criteria
- Coding-agent-ready out of the box
- Specs flow to agents via MCP
- Guardrails prevent agent drift
- Built for complex codebases
"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."
Everything before coding begins
Your team's single source of truth.Living specs & collaborative PRDs
Eliminate spec driftGenerate PRDs and requirements grounded in your codebase. Specs stay aligned as code evolves. Teams review, comment, and align in one place instead of scattered docs.
Change impact analysis
See the blast radius before codingSee what a change touches before writing code. Cross-service dependency mapping surfaces affected endpoints, consumers, and edge cases. Self-serve "what breaks if we change X?" without pulling a senior engineer.
Context graph
Google Maps for your codebaseAutomated code symbol intelligence maps every function, class, and API across your repos. Navigate complex systems with full context. Works on legacy codebases.
Automated technical documentation
Docs that write themselvesAuto-generated file-level docs, feature summaries, API reference, architecture diagrams, and glossary. Documentation that stays current because it's generated from code.
Codebase chat
Multi-repo Q&AAsk anything about your system in plain English. Get answers grounded in actual code, across services, APIs, and data flows. Works on legacy codebases and complex architectures.
MCP server for coding agents
Guardrails + context for AI agentsGive Cursor, Claude Code, Copilot, and Windsurf direct access to your specs, requirements, and architectural context via MCP. Agents work from approved plans with clear boundaries, not guesswork.
"ProdE has the knowledge of a full stack developer. It really clarified the value of a knowledge layer that has access to both our frontend and backend codebases."
How it works
Connect → Map → ExecuteConnect
- Link GitHub, GitLab, Bitbucket, or Azure DevOps
- Add Jira, Confluence, Slack, or Notion
- 2-minute setup, zero configuration
Map
- Builds a context graph across all your repos
- Maps dependencies, APIs, and data flows across services
- Understands your system end to end, in minutes
Execute
- Customer conversations to coding-agent-ready specs
- Ask anything about your system in plain English
- Give coding agents full context via MCP server
Integrations
Fits into your existing stackSupported Programming Languages
Scale
20M+ lines of code across hundreds of reposSecurity
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
- VPC-isolated infrastructure All services in a private network. Databases not internet-exposed.
- Ephemeral code processing Code clones deleted after indexing. Only derived metadata is stored.
- Role-based access control Member, Admin, and Owner roles with granular permissions
- Cloud or on-prem Deploy in your own infrastructure for full control
Leena AI YC S18: Reported saving over 1100 hours in 2 months, ~40 microservices
Leena AI runs 40+ microservices with 5M+ lines of code across multiple repos. PMs spent days waiting for engineers to explain system behavior. ProdE changed that.
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."
"You guys are killing it though, it's made my onboarding here 100X faster and same with working on tickets."
"ProdE has made implementation of tasks way easier and quicker for my team, removing unnecessary fluff and focusing on execution."
"It did a much more thorough job of connecting all the entry and end points of the product. It took all of the heavy lifting out of the process and left me only with the decision making."
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.
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 a system-aware planning layer 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.
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, mapping cross-service dependencies, APIs, and data flows. Teams with 40+ microservices and 5M+ lines of code use ProdE daily.
How does it work with Cursor, Claude Code, Copilot, and Windsurf?
ProdE runs an MCP server that gives coding agents direct access to your specs, requirements, architectural context, guardrails, and planning artifacts. Instead of guessing from file contents alone, agents work from approved plans with full system context: what exists, what's changing, and what the boundaries are.
Can non-technical team members use it?
Absolutely. PMs and leadership can ask questions about the system in plain English, generate specs, 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.
Ready to see ProdE on your codebase?
Setup in 2 minutes. See results on your own repos.