Does ProdE train on our code or modify it?
No, ProdE does not train on your code and has strictly read-only access. It analyzes, indexes, and maps your codebase to provide intelligence, but it never writes, modifies, or pushes commits to your code. All data is encrypted with per-team keys.
How does ProdE integrate with existing project management tools like Jira?
ProdE works alongside tools like Jira, Linear, or ClickUp by grounding work items in your system's actual code. It provides a system-aware planning layer that understands your codebase and maps dependencies, connecting to Jira and Confluence to enhance their capabilities with codebase intelligence.
Can non-technical team members use ProdE to understand the codebase?
Absolutely. ProdE allows PMs and leadership to ask questions about the system in plain English, generate specs, and review change impact without needing to read code. This unblocks product teams from relying on senior engineers for every system-related query.
How does ProdE support coding agents like Cursor or Claude Code?
ProdE runs an MCP server that provides coding agents direct access to your specs, requirements, architectural context, and guardrails. This ensures agents work from approved plans with full system context, rather than guessing from file contents alone, preventing agent drift.
How long does it take to set up ProdE for a codebase?
Setup takes approximately 2 minutes. You connect your repositories via OAuth, and ProdE automatically detects languages, builds a knowledge graph, and indexes your codebase. There is no infrastructure to manage or agents to install.