Blog

72-Hour Cross-Posting Delay
Why waiting 72 hours before cross-posting to Dev.to protects your canonical SEO. RSS + Zapier + Slack creates a safe, automated cross-posting workflow.

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.

Semi-Autonomous Bug Bounty System
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 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.
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.
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.
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 effort.
Multi-Agent Architecture: Building SaaS
Deep dive into MicroSaaSBot's multi-agent architecture: Researcher, Architect, Developer, and Deployer agents working in sequence to ship SaaS products.
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.
Serverless PDF Processing: Why unpdf Beats pdf-parse
Why pdf-parse fails on Vercel serverless and how unpdf solves it. A debugging story with zero native dependencies and 3-5 second processing times.
Why I Built Human-in-the-Loop Instead of Full Automation
Keep humans in control when building AI security tools. Full automation sounds impressive until your reputation tanks from false positives.
Claude Code Complete Guide
Master Claude Code with quality gates, context management, and evidence-based workflows. The comprehensive guide to building with AI that doesn't break.
ADHD & Architectural Abstraction
ADHD working memory limitations force abstraction. Unable to hold all details, you naturally build mental models—exactly what system architecture requires.
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.
ADHD & 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.
ADHD & Distributed Systems
ADHD juggling of unfinished thoughts mirrors distributed computing. Managing concurrent mental threads builds intuition for async architectures.
ADHD Pattern Recognition: AI Architecture
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.
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.
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.
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.
Multi-Platform Bug Bounty Tool
How I built unified integration for HackerOne, Intigriti, and Bugcrowd with platform-specific formatters and a shared findings model. Part 4 of 5.
Bug Bounty: Detection vs Validation
Why 'finding' a vulnerability isn't enough, and how response diff analysis cut my false positive rate dramatically. Part 2 of 5.
Code Verification Over Confidence
The psychology of skipping verification and how forced evaluation achieves 84% compliance. Evidence-based completion for AI-generated code.
Claude Context: Dev Docs Method
Dev docs prevent Claude Code context amnesia after compaction. Three files that persist task state so Claude picks up exactly where it left off.
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.
Progressive Disclosure: Reduce 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.
llms.txt Explained: The robots.txt for AI Crawlers
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.
Optimize for AI Search Engines
Step-by-step guide to make your content visible in AI search engines. Includes robots.txt, structured data, and content format optimization.
ADHD-Friendly Productivity System
After years of failed GTD attempts and abandoned Notion setups, I built ADHD-friendly Notion templates with energy-aware scheduling and AI processing.
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.
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.