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ai December 28, 2025
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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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.
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Why StatementSync Charges $19/Month Instead of Per-File
The strategic thinking behind flat-rate SaaS pricing in a market dominated by per-transaction models. Heavy users save money, you get loyalty.
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I Built a Bot That Builds SaaS Products: Introducing MicroSaaSBot
Announcing MicroSaaSBot—the AI system that takes ideas from validation to deployed MVP with minimal human intervention. It built StatementSync in one week.
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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.
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How MicroSaaSBot Validates Ideas Before Writing Code
The validation phase that prevents building products nobody wants. Market research, persona scoring, and the go/no-go decision that saves weeks of wasted effort.
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The MicroSaaSBot Architecture: How Multi-Agent Systems Build Products
Deep dive into MicroSaaSBot's multi-agent architecture: Researcher, Architect, Developer, and Deployer agents working in sequence to ship SaaS products.
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From Pain Point to MVP: I Built StatementSync in One Week
How I validated a bookkeeper pain point and shipped a working SaaS in 7 days using MicroSaaSBot. The story of StatementSync from idea to production.
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Serverless PDF Processing: Why unpdf Beats pdf-parse on Vercel
The technical story of debugging PDF processing failures on Vercel and why unpdf is the serverless-compatible solution that actually works.
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Why I Built Human-in-the-Loop Instead of Full Automation
The case for keeping humans in control when building AI-powered security tools. Full automation sounds impressive until your reputation tanks from false positives.
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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.
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I Can't Remember Details But I See the Whole System: ADHD and Architectural Abstraction
ADHD working memory limitations force abstraction. Unable to hold all details, you naturally build mental models—exactly what system architecture requires.
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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.
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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.
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My Brain Runs 47 Background Threads: How ADHD Taught Me Distributed Systems
The ADHD tendency to juggle multiple incomplete thoughts mirrors distributed computing. Managing concurrent mental threads builds intuition for async architectures.
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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.
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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.
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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.
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Human-in-the-Loop: The Ethics of Security Automation
Why mandatory human review protects researcher reputation better than any algorithm. Building AI that knows when to stop. Part 5 of 5.
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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.
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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.
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Why 'Should Work' Is the Most Dangerous Phrase in AI Development
The psychology of skipping verification and how forced evaluation achieves 84% compliance. Evidence-based completion for AI-generated code.
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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.
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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.
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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.
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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.
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What is RAG? Retrieval-Augmented Generation Explained
RAG combines LLMs with real-time data retrieval to provide accurate, up-to-date responses. Learn how RAG works and why it matters for AI builders.
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