
ADHD Devs: Claude Code Workflows
How ADHD developers use Claude Code's intelligent caching and workflow orchestration to replace chaos with systems. Practical examples included.
AI Systems Architect for Neurodivergent Minds
I design and deploy agent-based AI automation systems that eliminate manual workflows, scale content, and power recursive learning. Specializing in micro-SaaS tools, content automation, and high-performance web applications.
5+
Years Exp
20+
Projects
90+
Lighthouse
ADHD traits as engineering advantages: pattern recognition, resilience, and system design.
Pillar guides
After years of failed GTD attempts and abandoned Notion setups, I built ADHD-friendly Notion templates with energy-aware scheduling and AI processing.
ADHD pattern recognition isn't noise—it's a superpower for AI system design. Here's how hyperfocus and cross-domain thinking create better architectures.
Supporting posts
ADHD juggling of unfinished thoughts mirrors distributed computing. Managing concurrent mental threads builds intuition for async architectures.
ADHD's dopamine-seeking behavior drives continuous learning and early adoption. This 'shiny object syndrome' is actually technology scouting for the AI era.
Living with ADHD means constant failure recovery. This builds resilience and failure-handling intuition perfect for distributed systems design.
Claude Code workflows, micro-SaaS execution, and evidence-based AI building.
Pillar guides
Master Claude Code with quality gates, context management, and evidence-based workflows. The comprehensive guide to building with AI that doesn't break.
The full pipeline from 'I have an idea' to 'it's live on Vercel with Stripe billing.' Every phase explained with the real StatementSync timeline.
Supporting posts
A two-gate mandatory system that blocks implementation until quality checks pass. Here's how it works and why 'should work' is banned.
Dev docs prevent Claude Code context amnesia after compaction. Three files that persist task state so Claude picks up exactly where it left off.
Loading less context upfront makes AI more effective. Here's the 3-tier system that cut my Claude costs while improving output quality.
Autonomous security testing with human-in-the-loop safeguards and evidence gates.
Pillar guides
How I built a multi-agent bug bounty hunting system with evidence-gated progression, RAG-enhanced learning, and safety mechanisms that keeps humans in the loop.
Why I chose multi-agent architecture over monolithic scanners, and how evidence-gated progression keeps findings honest. Part 1 of 5.
Supporting posts
Why 'finding' a vulnerability isn't enough, and how response diff analysis cut my false positive rate dramatically. Part 2 of 5.
How my bug bounty automation learns from rate limits, bans, and crashes to get smarter over time. Part 3 of 5.
How I built unified integration for HackerOne, Intigriti, and Bugcrowd with platform-specific formatters and a shared findings model. Part 4 of 5.
Make your content extractable by AI search engines with crawl access and structure.
Pillar guides
AEO is the SEO of AI search engines. Learn to optimize for Perplexity, Claude, ChatGPT, and other answer engines without traditional SEO.
Step-by-step guide to make your content visible in AI search engines. Includes robots.txt, structured data, and content format optimization.
Supporting posts
What is llms.txt and why do AI engines scan it? Learn how to set up this robots.txt companion file to control how AI crawlers use and cite your content.
Why waiting 72 hours before cross-posting to Dev.to protects your canonical SEO. RSS + Zapier + Slack creates a safe, automated cross-posting workflow.
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