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AI & ML

Explore machine learning, AI agents, and autonomous systems

Machine Learning Deep learning, neural networks, and ML fundamentals
AI Agents Multi-agent systems and orchestration
Prompt Engineering Crafting effective prompts for AI systems
MoE Architecture Mixture of Experts patterns and implementation
LLM Integration Building with large language models
AI Development AI-accelerated development workflows
Building an AI Blog Writer: From Topic to Published Post with n8n, Claude, and GitHub
Latest

Building an AI Blog Writer: From Topic to Published Post with n8n, Claude, and GitHub

How I built an AI agent that researches my 216 blog posts, generates complete drafts with validated frontmatter, and commits directly to GitHub. Paste a topic, get a production-ready post. The first of five components in an autonomous blog publishing system.

Developer skills

Level up your development skills and productivity

Best Practices Industry-proven development patterns
Code Quality Writing maintainable and testable code
Testing Test-driven development and quality assurance
Debugging Effective debugging strategies and tools
Performance Optimization techniques and profiling
Career Growth Professional development and mentorship
Cutting Cortex LLM Costs by 90%: The Prompt Engineering Playbook
Latest

Cutting Cortex LLM Costs by 90%: The Prompt Engineering Playbook

Real-world cost optimization through strategic prompt engineering, smart model selection, and caching—with actual numbers from production

Engineering

Software architecture, system design, and infrastructure

Architecture System design and architectural patterns
Infrastructure DevOps, CI/CD, and cloud infrastructure
APIs REST, GraphQL, and API design
Databases Database design and optimization
Microservices Distributed systems and service architecture
Scalability Building systems that scale
Cleaning House: Migrating a 90-Deployment k3s Cluster to fabric-forge
Latest

Cleaning House: Migrating a 90-Deployment k3s Cluster to fabric-forge

A k3s cluster accumulated 90 deployments across 80 namespaces from a previous era. Here is the plan to strip it down and rebuild around fabric-forge.

Enterprise software

Building robust, scalable enterprise applications

Authentication OAuth, SSO, and identity management
Compliance GDPR, SOC2, and regulatory requirements
Data Management Enterprise data strategies and governance
Integration Enterprise system integration patterns
Monitoring Observability and incident management
Migration Legacy system modernization
Zero-Downtime Database Migrations
Latest

Zero-Downtime Database Migrations

Techniques and patterns for performing database schema migrations with zero downtime in production environments

News & insights

Latest trends, updates, and industry insights

Product Updates New features and announcements
Industry Trends Emerging technologies and patterns
Case Studies Real-world implementation stories
Community Developer community highlights
Interviews Expert insights and conversations
Research Technical research and findings
From Obstacles to Teammates: How Automation Built Itself a Better Partner
Latest

From Obstacles to Teammates: How Automation Built Itself a Better Partner

The story of fabric-forge and fabric/social — what happens when you stop fighting your tools and start listening to them.

Open Source

Contributing to and building open source software

Getting Started Your first open source contribution
Maintainership Managing open source projects
Licensing Understanding open source licenses
Community Building Growing and nurturing communities
Documentation Writing effective project docs
Sponsorship Funding and sustaining projects
Git-Steer Can Contribute to Other People's Repos Too
Latest

Git-Steer Can Contribute to Other People's Repos Too

Git-steer forked PegaProx, an open-source Proxmox management platform, audited the codebase, and submitted 10 pull requests in a single session.

Security

Application security, best practices, and threat mitigation

Authentication Secure auth patterns and implementation
Vulnerabilities Common security issues and fixes
Encryption Data protection and cryptography
DevSecOps Security in the development lifecycle
Compliance Security standards and regulations
Incident Response Handling security incidents
What the IBM X-Force Report Taught Us About Securing Our Own Tools
Latest

What the IBM X-Force Report Taught Us About Securing Our Own Tools

After reading the IBM X-Force Threat Intelligence Index, we audited git-steer — an MCP server with autonomous access to GitHub repos. Here's what we found and fixed.

Machine Learning

Deep learning, neural networks, and ML fundamentals

11 posts

AI & ML

Cortex Adaptive Intelligence: Building a Self-Learning AI Orchestration Platform

How Cortex evolved from static routing to a self-learning system that reduces API calls by 65%, improves latency by 67%, and automatically optimizes model selection through vector-based similarity routing

AI & ML

From Static LLMs to Adaptive Intelligence: How Cortex Redefines AI Infrastructure

A deep dive into the evolution from simple LLM interactions to autonomous, self-optimizing AI fabric with intelligent routing, scale-to-zero layers, and continuous learning

AI & ML

Cortex Online School: Autonomous Learning from YouTube

How Cortex continuously learns from YouTube channels, validates improvements with RAG, and autonomously implements safe infrastructure changes with automatic rollback.

AI & ML

Infrastructure as Training Data: When AI Systems Learn Like Organizations Do

What if AI infrastructure could mirror how great organizations develop talent? Instead of training specialists first, deploy self-contained layers that scale to zero, learn through operation, and graduate into specialization when proven.

AI & ML

From Messenger to Visionary: How Claude Code Designed Its Own Future

A philosophical exploration of meta-learning and autonomous infrastructure. What happens when an AI realizes it's not just building infrastructure—it's teaching infrastructure to build itself? The vision for Cortex's self-improving future.

AI & ML

Building an Autonomous Learning Pipeline From Video Intelligence to Knowledge Integration

We've implemented a complete autonomous learning pipeline that transforms passive content consumption into active, prioritized knowledge acquisition. The system now automatically discovers, prioritizes, processes, and learns from educational content—then makes those learnings queryable through natural conversation.

AI & ML

PyTorch Neural Routing in Production

How Cortex combines PyTorch neural networks with pattern matching for hybrid task routing - architecture, training pipeline, and production deployment.

AI & ML

The Learning Loop: How Cortex Improves Itself

Understanding the continuous learning system that makes Cortex self-improving - outcome tracking, pattern extraction, and confidence adjustment.

AI & ML

Sparse MoE vs Dense Models: Performance Analysis

Comprehensive performance comparison of Sparse Mixture of Experts and Dense neural network architectures across metrics like inference speed, training efficiency, memory usage, and accuracy.

AI & ML

Feature Engineering Best Practices for ML Models: From Raw Data to Predictive Power

Master the art and science of feature engineering. Learn proven techniques for transforming raw data into powerful features that dramatically improve model performance, with real-world examples and code.

AI & ML

Understanding Neural Network Backpropagation: The Math Behind the Magic

A comprehensive deep-dive into backpropagation, the algorithm that powers neural network training. From gradient descent fundamentals to practical implementation, explore how networks learn from their mistakes.