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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.
Core journeys
Enter through the journey that matches your intent.
These are the three primary tracks that define the site. Each one has a hub, a start-here article, and a reading path.
Build AI products like systems, not demos.
This track covers Claude Code workflows, WebMCP agent interfaces, context management, evidence gates, RAG, and the operational decisions that move an AI idea into production.
Best for
builders, founders, and engineers shipping with AI
Reading depth
15 implementation notes, guides, and case studies
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Claude Code Best Practices the Official Docs Don't Cover (2026)
What I learned building 36K lines of production code with Claude Code: quality gates, multi-agent orchestration, and the workflow patterns that ship.
Automate the research loop without automating away judgment.
This track covers multi-agent bounty systems, false-positive control, validation pipelines, and why human-in-the-loop design still beats blind autonomy.
Best for
security researchers and systems-minded builders
Reading depth
7 architecture, validation, and operations notes
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How I Automated Bug Bounty Hunting Without Getting Banned
Build a multi-agent bug bounty system with evidence-gated progression and zero false positives. Full architecture from 3 months of production.
Treat ADHD cognition like a systems design input, not a flaw to hide.
This track reframes parallel thinking, novelty seeking, abstraction, and chaos tolerance as engineering leverage, then turns them into practical workflow scaffolding.
Best for
ADHD and neurodivergent developers, designers, and founders
Reading depth
7 core essays and workflow guides
Start here
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.
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 the Official Docs Don't Cover (2026)
What I learned building 36K lines of production code with Claude Code: quality gates, multi-agent orchestration, and the workflow patterns that ship.
WebMCP Is the Missing Piece for AI-Connected SvelteKit Apps
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.
How I Automated Bug Bounty Hunting Without Getting Banned
Build a multi-agent bug bounty system with evidence-gated progression and zero false positives. Full architecture from 3 months of production.
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.
My ADHD Brain Thinks in Distributed Systems. Here's the Architecture.
Five ADHD cognitive traits mapped to real systems architecture patterns: pattern recognition, parallel processing, novelty seeking, and chaos resilience.
The Claude Code Workflow I Built for My ADHD Brain
Build ADHD-friendly Claude workflows using code caching to eliminate context-switching and ship faster without losing focus.
Why this exists
The site is designed like a map, not a feed.
The goal is to reduce orientation debt. Instead of landing on one article and bouncing, you should be able to see how the ideas connect: topic hubs, reading paths, products, and the publishing layer that makes the whole system legible to search engines and AI agents.
Visibility stack
The publishing layer is part of the product.
Search, answer engines, and agents need a canonical map too. These pieces explain the retrieval layer behind the site.
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.
How to Get Perplexity and ChatGPT to Cite Your Website
Step-by-step guide to make your content visible in AI search engines. Includes robots.txt, structured data, and content format optimization.
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.
Subscribe once. Get the guided version of the site.
The newsletter is the shortest path to the newest systems notes, strongest essays, and the next recommended reading path.
- AI systems and Claude Code implementation notes
- Bug bounty automation architecture and failure loops
- Neurodivergent workflow systems that actually hold up