Start here · The map before the archive
This is the shortest path into the site's thinking.
chudi.dev is a living knowledge system about AI product development, bug bounty automation, and neurodivergent systems design. Use this page if you want the map before the archive.
§1 · Three journeys · Pick the one that matches why you came
- 01 AI Visibility Engineering Engineer entity graphs, schema, and retrieval surfaces for sub-DR-20 brands. Optimize for AI citations first, SERP rank second.
- 02 AI Product Development Claude Code, WebMCP, RAG, verification, and micro-SaaS execution patterns for builders who want production-grade AI systems instead of prompt theater.
- 03 Neurodivergent Systems ADHD cognition as a systems advantage: pattern recognition, resilient workflows, and engineering scaffolds that actually fit the way your brain operates.
§2 · Best entry points by intent
If you are here for a specific outcome, start with these.
Build AI systems that survive contact with production
Start with Claude Code workflows, then move into WebMCP, context control, and verification loops.
Claude Code Best Practices 2026: A Field Guide
Field-tested Claude Code workflows from 36K lines of shipped production code: quality gates, multi-agent orchestration, and the patterns that actually work.
I Added WebMCP to SvelteKit: 90 Min, 3 Files.
Build WebMCP into SvelteKit apps using navigator.modelContext. Learn polyfill setup, tool schemas, and verification in 2026.
57 Bugs in AI-Generated Code: How I Verify Before Shipping
Verify AI code with forced evaluation and build-test-proof. Stop trusting confidence, use evidence-based completion instead.
Automate security research without automating away judgment
Use the bug bounty system sequence if you care about evidence, false-positive control, and human-in-the-loop design.
Bug Bounty Automation Framework: Zero False Positives
A bug bounty automation framework built on multi-agent evidence-gating: how I went from 12 false-positive reports to zero, with the full architecture.
Why Human-in-the-Loop Beats Automation
Keep humans in control when building AI security tools. Full automation sounds impressive until your reputation tanks from false positives.
Use ADHD cognition as a systems advantage
The neurodivergent track reframes pattern recognition, abstraction, and chaos resilience as engineering leverage.
ADHD Productivity: The System I Built After GTD Failed Me
GTD doesn't work for ADHD brains. The energy-aware productivity system I built instead, hyperfocus scheduling, AI processing, and the workflow I use to ship.
I Have 73 Browser Tabs Open. ADHD Made Me a Better Architect.
Five ADHD cognitive traits mapped to real systems architecture patterns: pattern recognition, parallel processing, novelty seeking, and chaos resilience.
Claude for ADHD: The Coding Workflow I Built for My Brain
Claude for ADHD: the CLAUDE.md "ADHD mode" setup and 5-step coding workflow I use to beat task-initiation paralysis and context-switching every day.
§3 · The visibility stack
If you came for the machine surfaces, they are all public.
Every machine-readable surface on chudi.dev is listed, live, and inspectable. This is the working model the writing documents.
Want the tools instead? See the products · Want help applying the patterns? Work with me
- Answer Engine Optimization: 6 Factors That Decide If AI Cites You Answer engine optimization (AEO) determines which sites AI search engines cite. The 6 factors driving citations in Perplexity, ChatGPT, and Google AI Overview.
- Allow ChatGPT and Perplexity to Crawl Your Site (2026) robots.txt, llms.txt, schema markup, and answer-first structure so ChatGPT, Perplexity, and Claude cite your content.
- llms.txt for AI Crawlers: Why robots.txt Is Not Enough robots.txt was built for search engines, not AI crawlers. llms.txt gives LLMs structured context about your site that robots.txt can never provide.
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- AI systems and Claude Code implementation notes
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- Neurodivergent workflow systems that actually hold up