Why AI-First Product Development is the Future
My thesis on why the future of software development starts with AI agents, not IDE plugins. MicroSaaSBot is proof of concept.
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Chudi Nnorukam
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
Topic Clusters
Browse all posts arrow_forwardNeurodivergent Systems
ADHD traits as engineering advantages: pattern recognition, resilience, and system design.
Pillar guides
- I Built the Productivity System I Wish Existed as an ADHD Engineer
After years of failed GTD attempts and abandoned Notion setups, I built templates that actually work with ADHD brains.
- How My ADHD Brain Sees Patterns Everywhere (And Why That Makes Me a Better AI Architect)
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
- My Brain Runs 47 Background Threads: How ADHD Taught Me Distributed Systems
ADHD juggling of unfinished thoughts mirrors distributed computing. Managing concurrent mental threads builds intuition for async architectures.
- Bored by the Old, Obsessed by the New: How ADHD Drives AI Innovation
ADHD's dopamine-seeking behavior drives continuous learning and early adoption. This 'shiny object syndrome' is actually technology scouting for the AI era.
- Managing My Brain's Chaos Prepared Me for System Failures
Living with ADHD means constant failure recovery. This builds resilience and failure-handling intuition perfect for distributed systems design.
AI Product Development
Claude Code workflows, micro-SaaS execution, and evidence-based AI building.
Pillar guides
- The Complete Claude Code Guide: AI-Assisted Development That Actually Works
Master Claude Code with quality gates, context management, and evidence-based workflows. The comprehensive guide to building with AI that doesn't break.
- From Idea to Deployed MVP: MicroSaaSBot's Complete Workflow
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
- I Built a Quality Control System for AI Code Generation
A two-gate mandatory system that blocks implementation until quality checks pass. Here's how it works and why 'should work' is banned.
- How to Prevent Claude from Forgetting Your Task (Dev Docs Method)
The workflow that prevents context amnesia. Dev docs let Claude pick up exactly where it left off after compaction. Here's the system.
- How Progressive Disclosure Reduced My AI Token Usage by 60%
Loading less context upfront makes AI more effective. Here's the 3-tier system that cut my Claude costs while improving output quality.
Bug Bounty Automation
Autonomous security testing with human-in-the-loop safeguards and evidence gates.
Pillar guides
- Building a Semi-Autonomous Bug Bounty System with Claude Code
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.
- I Built an AI-Powered Bug Bounty Automation System
Why I chose multi-agent architecture over monolithic scanners, and how evidence-gated progression keeps findings honest. Part 1 of 5.
Supporting posts
- From Detection to Proof: Validation in Bug Bounty Automation
Why 'finding' a vulnerability isn't enough, and how response diff analysis cut my false positive rate dramatically. Part 2 of 5.
- Failure-Driven Learning: Auto-Recovery in Security Tools
How my bug bounty automation learns from rate limits, bans, and crashes to get smarter over time. Part 3 of 5.
- One Tool, Three Platforms: Multi-Platform Bug Bounty Integration
How I built unified integration for HackerOne, Intigriti, and Bugcrowd with platform-specific formatters and a shared findings model. Part 4 of 5.
Answer Engine Optimization (AEO)
Make your content extractable by AI search engines with crawl access and structure.
Pillar guides
- What is AEO? Answer Engine Optimization Explained (2026)
AEO is the SEO of AI search engines. Learn to optimize for Perplexity, Claude, ChatGPT, and other answer engines without traditional SEO.
- How to Optimize Your Site for Perplexity, ChatGPT, and Claude Search
Step-by-step guide to make your content visible in AI search engines. Includes robots.txt, structured data, and content format optimization.
Supporting posts
- llms.txt Explained: The robots.txt for AI Crawlers
What is llms.txt? Why AI engines scan it. How to set it up correctly. Everything you need to know about this new file type.