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YakaAI
Official YakaAI logo in SVG vector format

YakaAI

Technology
AI platform & developer documentation: Cloudflare Edge architecture, Model Context Protocol & high-performance contextual streaming

YakaAI is an international reference platform designed to provide language models (LLMs) and autonomous coding agents (Claude, Cursor, Copilot, Gemini) with continuously verified open-source technical contexts and documentation. The technical challenge met by Geekworkers consisted of designing an Edge architecture without a centralized origin server, capable of delivering OpenAPI specifications, Model Context Protocol (MCP) configurations and agent rules in less than 30 ms worldwide.

https://yakaai.com/🔗
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Goals
Ultra-fast Edge Serverless architecture
Design a distributed infrastructure on Cloudflare Edge with Hono.js and D1 SQL for sub-30ms responses.
LLM Context Window Optimization
Develop a densified Markdown selective mining engine reducing agent token consumption from 70% to 90%.
MCP Standardization & API Specifications
Unify access to Model Context Protocol servers, agent rules (CLAUDE.md, .cursorrules) and OpenAPI 3.x specifications.
Anti-Scraping Security & API Quotas
Implement intelligent protection using Cloudflare Turnstile and sliding bandwidth limiting per minute/day.
Solutions
Fullstack Developer
SaaS Platform Development

Strategy and technical solutions deployed

Ultra-Low Latency Serverless Edge Architecture

Strategy: Instant global deployment on Cloudflare Edge

We designed the entire platform YakaAI on Cloudflare Pages & Workers with the ultra-lightweight framework Hono.js in TypeScript. This approach guarantees response times of less than 30 ms globally, without a centralized origin server or residual infrastructure costs. Data is persisted on a distributed SQL database. Cloudflare D1 and object storage Cloudflare R2 with intelligent CDN microcaching.

Intelligent Indexing & Contextual Formats for LLM

Strategy: Content negotiation and selective extraction for AI agents

To meet the needs of developers and autonomous agents (Cursor, Claude, Copilot, Gemini), we have designed a dual discovery and documentation API (raw HTML/Markdown via Accepted: text/markdownThe platform indexes over 9,111 verified open-source repositories and their configurations. Model Context Protocol (MCP), their specifications OpenAPI and their context rules (.cursorrules, AGENTS.md).

Cloudflare Access Governance, Anti-Scraping & Security

Strategy: Multi-layered protection with Cloudflare Turnstile and sliding quotas

A sliding-window (minute, hour, day) rate-limiting system protects freemium API quotas. In case of detection of intensive scraping behavior, an encrypted verification gateway with Cloudflare Turnstile and the HMAC-SHA256 signature delivers a transparent authorization cookie, while granting an automatic exemption to certified indexing robots (Googlebot, GPTBot, PerplexityBot).

Developer & Design System Experience Dark Carbon

Strategy: Immersive interface and highly efficient floating navigation

The user interface is based on a clean and modern design system in dark mode (Dark Carbon), incorporating a floating command bar with instant search, multi-language filtering, preview of documentation sections and optimized 1-click prompt copy buttons.

Results
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YakaAI: The next-generation documentation infrastructure for the era of AI agents

The platform developed by Geekworkers demonstrates the excellence of modern Serverless engineering on Cloudflare Edge, combining extreme performance, advanced anti-scraping security and a frictionless developer experience.

Ultra-low global latency: Response times of less than 30 ms across more than 330 global Cloudflare points of presence thanks to Hono.js, D1 SQL and Cloudflare R2.

Token footprint reduction from 70% to 90%: Selective extraction algorithm by section allowing AI agents to load only the relevant documentation without saturating their pop-up windows.

API protection and governance: Seamless integration of Cloudflare Turnstile and adaptive sliding window query limits while allowing certified indexing bots.

Indexing of over 9,111 repositories: Automated discovery and aggregation of MCP servers, API specifications and open-source agent skills.

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