We turn your
ideasinto Claude Code ready specs.

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.

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.

Yes. ProdE offers cloud and on-prem deployment, so your code intelligence can live entirely inside your own environment.

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.

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.

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.

ProdE works with GitHub, GitLab, Bitbucket, and Azure DevOps, and supports all major programming languages. It also connects to Jira, Confluence, Slack, and Notion.

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.

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.

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.

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.'

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.

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.

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.