Alex Chen, Senior Developer at TechCorp, uses Contextium's CLI to give his AI assistant instant access to team standards. No more searching wikis or asking teammates for the same information.
Senior Full-Stack Developer at TechCorp (Series B startup, 150 employees)
Background: 5 years experience, works on the core product API and frontend
Daily tools: VS Code, Cursor AI, GitHub Copilot, Claude
Team size: 12 engineers across 3 projects
Challenges: Constantly context-switching between projects, forgetting team conventions, spending hours searching for architectural decisions made months ago
Alex's workflow before Contextium was a constant battle against lost knowledge
"I'd start a new feature and immediately hit a wall. Should I use REST or GraphQL for this endpoint? What's our error handling pattern? I'd spend 30 minutes searching Notion, find outdated docs, then interrupt teammates on Slack. Every. Single. Day."
"I'd ask Claude 'How should I structure this API endpoint?' and get a generic answer from the internet. Not OUR team's conventions. Not OUR architectural decisions. Just generic best practices that didn't match our codebase at all."
"Architecture docs in Notion. API specs in Confluence. Code standards in a GitHub wiki. Security policies in Google Docs. I'd check 4 different places and still not find what I needed. Or worse, find conflicting information."
"I'd submit a PR feeling confident, only to get 15 comments: 'We don't use this library anymore,' 'This doesn't match our error handling pattern,' 'Did you check the security guidelines?' Then I'd spend 2 hours rewriting everything."
One-time setup, permanent productivity boost
Alex ran one command in his terminal:
npx @contextium/mcp-server@latest setupContextium connected to Claude, Cursor, and GitHub Copilot automatically. All his AI assistants could now access team documentation instantly.
Now when Alex asks his AI assistant a question, it searches Contextium first:
No generic answers. No searching. Just accurate, team-specific guidance in seconds.
Alex writes code following team patterns from the start. No more code review surprises. No more "we don't do it that way" comments. Just clean PRs that get approved on the first review.
Real productivity gains, measured over 3 months
See how Contextium transforms daily development work
Alex gets assigned a ticket: "Add payment processing to checkout flow."
Old way: Would have spent 2 hours searching for payment integration docs, asking teammates, reading old code.
With Contextium: Opens Cursor, asks "How do we integrate payments?" Gets exact code pattern in 10 seconds.
Alex needs to handle failed payment errors properly.
Old way: Would check 3 different codebases to see how others handled it, get inconsistent patterns.
With Contextium: Asks Claude "Show me error handling for payments." Gets the team's exact error handling pattern with retry logic and user messaging.
Before submitting PR, Alex wants to verify security compliance.
Old way: Would submit PR, wait for security team to flag issues in code review.
With Contextium: Asks "What are the security requirements for payment data?" AI pulls up security policy, Alex verifies compliance before submitting.
Feature complete, PR submitted with confidence.
Old way: PR would come back with 15 comments about patterns, standards, missing error cases.
With Contextium: PR approved on first review. "Looks great, follows all our patterns perfectly!"
Merged to production. Total time: 6 hours for a feature that used to take 2-3 days.
Rest of the afternoon? Alex starts another feature instead of still debugging the first one.
One command setup. Works with Claude, Cursor, GitHub Copilot, and any AI assistant that supports MCP.
AI searches your team's documentation first, gives context-aware answers specific to your codebase.
Git-like version history for all documentation. Track changes, see diffs, roll back if needed.
Write docs in Markdown with syntax highlighting. Export to GitHub, sync with repos, keep docs close to code.
Updates sync instantly. When docs change, your AI gets the latest version automatically.
AI automatically includes relevant docs based on your question. No manual file selection needed.
Yes! Contextium uses the Model Context Protocol (MCP), which works with Claude Desktop, Cursor, and any AI tool that supports MCP. GitHub Copilot integration coming soon.
5 minutes. Run one CLI command, authenticate with OAuth, and you're done. Your AI can immediately access your documentation.
Absolutely. All documentation stays in your Contextium workspace with role-based access control. AI assistants only see docs you have permission to access.
Contextium can import from Notion, Confluence, Google Docs, and Markdown files. One-click import preserves formatting and structure.
Yes! Free plan includes unlimited docs, CLI access, and MCP integration. Perfect for solo developers and small teams.
Connect your documentation to Claude, Cursor, or any MCP-compatible AI tool.