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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#automation
12 posts tagged with "automation"
abstractionadhdaiai-architectureai-toolsapi-integrationarchitectureasyncautomationbug-bountybugcrowdbusinesscase-studychaos-engineeringclaude-codecontextdebuggingdistributed-systemsearly-adopterethicsfailure-recoveryfalse-positivesfuturehackeronehuman-in-the-loophyperfocusinnovationintigritillmmicrosaasmulti-agentmvpneurodivergentnodejsnotionnovelty-seekingoptimizationparallel-processingpattern-recognitionpdfphilosophypricingproductivityqualityquality-controlragresiliencesaassecurityserverlesssoftware-developmentstartupstrategysystems-designtokenstutorialvalidationvercelverificationworkflowworking-memory
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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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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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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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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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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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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