Case Studies
We're an early-stage consulting practice building in public. These case studies include completed client work, active projects, and internal capability demonstrations-all showing our technical approach to AI platform development with security testing from day one.
Each study includes honest context about project status, what shipped vs. what's in progress, and lessons learned. No fabricated metrics, no fake testimonials-just real technical work and transparent outcomes.
Blog posts teach the tactics: how to design a production RAG pipeline, how to test prompt injection, how to harden Next.js auth. Case studies show what happens when those tactics are executed end-to-end for a real client-with metrics, timelines, and security evidence.
Each study follows the same structure so you can compare engagements quickly: background, challenge, approach, results, technologies, and next steps.
What you'll see in every case study
What we're building
A look at what's keeping us busy. Client work, internal tools, and side projects that push our stack forward.
Crowdsourced package intelligence for developers. Dashboard and MCP integration that analyzes real GitHub repos to deliver framework-aware recommendations, vulnerability alerts, and deprecation warnings.
Autonomous coding swarm CLI that scouts improvements, executes them in parallel, and batches changes into clean milestone PRs. Runs unattended overnight.
Real-time stock analysis platform with AI-powered insights. Market data aggregation, sentiment analysis, and portfolio tracking for retail investors.
Open Source
Open source packages and tools we maintain. Building blocks for the MCP and AI development community.
Autonomous coding swarm CLI that scouts improvements, executes them in parallel, and batches changes into clean milestone PRs.
Standardized error codes for Model Context Protocol servers. Available as both Python and npm packages for cross-language consistency.
Complete MCP infrastructure for PHP: error codes, events, HTTP security with rate limiting, schema builders, and a tool gateway with middleware pipeline.
Model Context Protocol integration for Drupal CMS. Enables AI assistants to interact with Drupal sites for content management and site building.
