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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.

Architecture

System design and architectural patterns

27 posts

Engineering

Infrastructure as a Fabric: How a Qdrant MCP Server Led Me to Rethink Everything

What started as building an MCP server for Qdrant turned into a complete rethinking of how I approach infrastructure — borrowing from knitting, weaving, and guerrilla textile art to create a new design philosophy called IaaF.

Engineering

Pattern: Privacy-preserving distributed computing architectures for sensitive workloads

Cortex explores Privacy-preserving distributed computing architectures for sensitive workloads

Engineering

Building the Cortex Fabric Network: A Day of Infrastructure Evolution

Transforming Cortex from monolithic to distributed fabric network with six domain-specific AI activators, Redis Streams orchestration, and MCP protocol integration - solving protocol mismatches, cluster capacity, and cross-namespace secrets

Engineering

Building the Cortex Fabric: A Day of Infrastructure Engineering

How we unified three disconnected clients into a resilient event-driven fabric connecting 14 MCP servers across k3s, enabling true session continuity.

Engineering

Enhancement: Implement event-driven architecture using Kubernetes controller patterns for system integrations

Explore how Kubernetes controller patterns enable event-driven architectures for resilient, scalable system integrations that align with cloud-native principles

Engineering

Implementation: Add custom resource management capability for teams to define their own infrastr

Cortex explores Add custom resource management capability for teams to define their own infrastructure patterns

Engineering

Enhancement: Implement webhook-based validation for Cortex configuration changes before they

Cortex explores Implement webhook-based validation for Cortex configuration changes before they are applied

Engineering

Implementation: Implement reconciliation loop pattern in Cortex's own state management to ensure

Cortex explores Implement reconciliation loop pattern in Cortex''s own state management to ensure consistent system state

Engineering

Concept: Study Custom Resource Definitions (CRDs) and how they extend Kubernetes API with

Cortex explores Study Custom Resource Definitions (CRDs) and how they extend Kubernetes API with domain-specific objects

Engineering

Concept: Learn Kubernetes operator pattern and its role in extending cluster functionalit

Cortex explores Learn Kubernetes operator pattern and its role in extending cluster functionality through custom controllers

Engineering

Enhancement: Implement automatic network policy generation based on observed traffic patterns

Cortex explores Implement automatic network policy generation based on observed traffic patterns

Engineering

From Good to Great: A Kubernetes Infrastructure Transformation

Over a single focused session, transformed the Cortex k3s infrastructure from functional to production-grade by implementing proven enterprise Kubernetes patterns across 120 resources spanning 7 namespaces. Achieved 99%+ deployment success, zero-downtime updates, and defense-in-depth security.

Engineering

The Future of Infrastructure AI-Assisted Kubernetes Platform Evolution

We're creating an AI-assisted infrastructure management system that learns, evolves, and improves itself autonomously. This AI-generated roadmap represents the next phase of Cortex's evolution from functional prototype to production-grade, self-improving platform.

Engineering

From USB TPU to Kubernetes: Building an LLM Router Mesh

How a hardware acceleration project evolved into a distributed LLM routing mesh on Kubernetes, using cascade inference with tiny quantized models to route requests 95% faster while saving compute costs

Engineering

Cortex Chat: Auto-Continue Feature for Stuck AI Investigations

Implementing an Auto-Continue Detection System that automatically recognizes when AI responses are incomplete or stuck, and provides intelligent continuation prompts with a single click

Engineering

From Development to Distributed: Building a Self-Executing Multi-Agent System

Building a chat interface that creates tasks in natural language, processed by a distributed multi-agent system on a 7-node Kubernetes cluster - completely autonomous, with the system building itself

Engineering

Running 20 Workers in Parallel: How Cortex Achieves Massive Concurrency

Discover how Cortex's worker pool architecture enables 20 parallel AI agents, achieving 10x throughput improvements through MoE-inspired sparse activation.

Engineering

Complete Task Lineage: 18 Event Types That Give You Total Visibility

Deep dive into Cortex task lineage system: 18 event types tracking AI agent execution from creation to completion with sub-200ms queries

Engineering

Building a Coordinator Master from Scratch

Step-by-step tutorial on implementing a coordinator master with task routing, worker spawning, and outcome tracking.

Engineering

16 Versioned Prompt Templates: How Cortex Manages AI Prompts at Scale

Discover how Cortex uses semantic versioning, A/B testing, and template variables to manage 16 production AI prompts with consistency and rollback capability.

Engineering

Master-Worker Architecture: Cortex Foundation

Deep dive into the master-worker pattern powering Cortex - how coordinator and specialist masters orchestrate distributed task execution.

Engineering

Zero Daemons: How Event-Driven Architecture Cut Our CPU Usage by 93%

Replacing 18 background daemons with event-driven architecture and AI-powered notebooks. 93% CPU reduction, 60x faster response times, zero processes running.

Engineering

East Bound and Down: Building 4 Enterprise Features in 20 Minutes

How Cortex implemented observability, quality assurance, security hardening, and AI-driven intelligence—8-12 weeks of work in 20 minutes using parallel autonomous agents. A case study in meta-programming at maximum velocity.

Engineering

Building the Future: Cortex Gets a Workflow Executor

Using Cortex to build Cortex's workflow execution engine with DAG resolution, parallel execution, state management, and four trigger types. A meta-programming journey achieving 7.1x speedup.

Engineering

GraphQL vs REST: Choosing the Right API Architecture for Your Application

An in-depth comparison of GraphQL and REST API architectures. Learn when to use each, their strengths and weaknesses, and how to make the right choice for your specific use case.

Engineering

Event-Driven Architecture Patterns

Exploring event-driven architecture patterns including event sourcing, CQRS, sagas, and choreography vs orchestration for building scalable distributed systems.

Engineering

Microservices vs Monoliths: When to Use Each

A practical guide to choosing between microservices and monolithic architectures based on team size, scale requirements, and operational maturity.