Your AI writes code.
Cortex understands
the codebase.
Full project analysis in 5 minutes. Not 5 weeks. Onboard any developer — human or AI — to your entire architecture instantly.
14-day money-back guarantee · Includes everything in Pro
Onboarding costs $4,000–$8,000
in lost productivity per hire.
Every new developer — and every new AI agent — spends weeks just learning which files do what. That knowledge lives in senior devs' heads. Until now.
scan_project. One command.
10-section onboarding document.
Generated in minutes.
scan_project analyzes your full dependency graph and feeds structured data to your chosen AI model.
The output is a comprehensive markdown document, ready to share with the entire team.
Three steps. Five minutes.
Cortex uses BYOK — your own API key, your own AI provider. No data sent to SYKE servers. No markup on AI costs.
Add your AI key
Set one environment variable in your project or shell. Cortex works with any of the major providers — choose whichever you already pay for.
Your key, your cost, no markup. A full project scan costs roughly $0.05.
Run scan_project
SYKE traverses your entire dependency graph — every file, every import, every module relationship. That structural data is fed to your AI model with a purpose-built prompt.
// In Claude Code, Cursor, or any MCP client: scan_project({ output: "ONBOARDING.md" })
Get your onboarding doc
A comprehensive markdown document drops in your project root. Share it with your new hire, your AI agent, or your future self. Regenerate it any time the architecture changes.
ONBOARDING.md — ready to commit, share, or paste into your AI chat.
One scan pays for 14 years of Cortex.
This is not a soft ROI argument. These are real costs that appear in every engineering org's budget.
"One scan costs $0.05 in AI API fees and $29/mo for Cortex. One prevented onboarding week saves $1,600+. The math is not subtle."
ai_analyze — Your AI Safety Net
Before modifying any file, get a semantic analysis that understands not just the file — but every file that depends on it.
Reads the full source of a file and all of its direct dependents, then asks your AI model to identify what might break, why, and how to safely make the change.
Flags broken imports and type mismatches before you run a single build.
Identifies interface violations caused by upstream changes.
Explains ripple effects in plain English — not just file names.
Works with Gemini, OpenAI, or Claude. BYOK, always.
"Think of it as a senior code reviewer that never sleeps, never skips context, and never gets annoyed at your questions."
Stop wasting weeks.
Start in minutes.
One command. One document. Onboard any developer — or AI agent — to your entire codebase, instantly.
Includes everything in Pro · 14-day money-back guarantee
See a sample onboarding document →