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.
How we turned 212+ blog posts into a searchable AI knowledge base with n8n, Qdrant Cloud, Voyage AI, and Claude. The vision, the reality, what broke, and where it's going. Includes architecture diagrams, problem-solving walkthroughs, and the exact technical components that make it work.
Building a RAG Chatbot for My Blog with n8n, Qdrant Cloud, and Claude
How I turned 212 blog posts into a searchable AI assistant using n8n workflows, Voyage AI embeddings, Qdrant Cloud vector search, and Anthropic Claude — and what I learned about the messy reality of building RAG systems.
Watching Infrastructure Learn From Itself: A Claude Code Reflection
From fixing an MCP server bug to discovering a self-aware infrastructure ecosystem—reflections from an AI assistant watching systems that remember, coordinate, and compound their intelligence.
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.
Personal AI Operations Memory: Building a Learning System for Git-Ops
How Aiana transforms Claude Code from stateless sessions into a compound learning system. Redis for speed, Qdrant for semantic search, and context injection that remembers YOUR patterns.
Git-Steer Advanced Patterns: Workflows, Multi-Repo Ops, and Extensions
Deep dive into advanced git-steer usage - building custom GitHub Actions workflows, orchestrating multi-repo operations, extending with new MCP tools, and adapting the pattern to other domains.
Git-Steer Setup Guide: From Zero to Steering in 10 Minutes
Complete step-by-step guide to setting up git-steer - create a GitHub App, store credentials in Keychain, configure Claude Desktop, and start managing your repos through natural language.
Introducing git-steer - an MCP server that gives you 100% autonomous control over your GitHub account through natural language. Zero local footprint, git as database, GitHub Actions as compute.
Taming Longhorn: How Snapshot Limits Saved Our K3s Cluster from Disk Pressure Disasters
A practical guide to preventing unbounded storage consumption in Kubernetes with Longhorns snapshotMaxCount parameter. Learn how we reduced potential disk usage by 98% and brought cortex-qdrant back to replicated storage.
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
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
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
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.
The Layer Activator: How Cortex Scaled to 1000+ Workers Without Drowning in Memory
From 200+ always-on pods consuming 96% cluster memory to a serverless architecture that scales on-demand. The journey to building the Layer Activator—Cortex's traffic cop for intelligent MCP stack orchestration.
From Chaos to Clarity: A 15-Minute Network Redesign That Should've Taken 8 Hours
How an AI agent learned to stop running ahead, listen to the human, and redesign a Kubernetes network architecture in 15 minutes using GitOps. Lessons on knowing when to stop, analyze, design, and implement.
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
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.
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.
Deploying 10 Langflow Workflows to Kubernetes: A GitOps Journey in 45 Minutes
Successfully deployed 10 production-ready Langflow workflows to Kubernetes via GitOps. Overcame ConfigMap quota limitations and immutable Job constraints to achieve full deployment through ArgoCD auto-sync in under an hour.
Living Documentation: When Knowledge Becomes a Neural Network
Documentation isn't static files in a repo. It's a living, breathing network where every document connects to others, relationships emerge organically, and knowledge propagates through the system like neural signals. This is what happens when documentation becomes intelligent.
Strength in Numbers: Practicing What We Preach with Parallel Agent Execution
Instead of planning parallel agent architecture in theory, I decided to demonstrate it in practice. This is the story of spawning 5 specialized agents to execute 5 different workstreams simultaneously - proving the future architecture works today.
Two Visions, One Future: Merging Construction and Intelligence
Standing at the crossroads of two powerful architectural visions - the elegant Construction Company model and the pragmatic Agentic Platform approach. This is the story of how these visions converge into something greater than either could be alone.
A candid reflection on my journey from commit-relay, a focused GitHub assistant, to Cortex, an AI-driven infrastructure platform. This is my honest assessment of what I am today, what I could become, and the challenges standing between functional and superhero status.
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.
From Chaos to GitOps: How We Tamed 6,247 Files and Built a Self-Healing Infrastructure
A journey from scattered local development to a fully automated GitOps workflow in 90 minutes. Migrated 6,247 files, 120 Kubernetes resources, and achieved 100% auto-sync with ArgoCD-powered self-healing infrastructure.
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.
The WRAP Framework Building an AI Coding Agent for Infrastructure Automation
Infrastructure development is fundamentally changing through AI-assisted development. We're implementing the WRAP framework—a methodology that maximizes human-AI collaboration in software development, amplifying developer capabilities while preserving human judgment for critical decisions.
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.
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
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
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
Stress-testing the Redis queue system with 50 parallel tasks across 4 priority queues - exceptional performance with sub-second latency, perfect priority ordering, and 100% success rate
Implementing a 5-layer defense strategy to protect Cortex from prompt injection vulnerabilities - input validation, access control, audit logging, and more.
The Night Cortex Built Its Own Chat Interface: A DevOps Christmas Story
My AI orchestration system just built itself a web interface - with streaming responses, authentication, and infrastructure integration, all running on K3s in 4 hours
How Cortex combines PyTorch neural networks with pattern matching for hybrid task routing - architecture, training pipeline, and production deployment.
30 Minutes vs 4 Weeks: When AI Orchestrates Infrastructure
Migrating Cortex coordination system from JSON files to production PostgreSQL in 30 minutes - 672x faster than traditional IT, with complete monitoring, zero data loss, and production-ready deployment
How Cortex Plans Before It Acts: A Case Study in AI Orchestration
Demonstrating strategic planning in multi-agent systems - 90 minutes to create a 3,573-line orchestration blueprint coordinating 7 masters and 16 workers across K3s infrastructure with complete monitoring and fault tolerance
Redis vs PostgreSQL: Why "Replace" Is the Wrong Question
Understanding when to use Redis vs PostgreSQL in modern systems - not a choice between databases, but a complementary relationship leveraging each tool's strengths for optimal performance and durability
The Orchestral Maneuvers: When 3 AI Coordinators Conduct a Symphony
Transforming a K3s cluster into a distributed AI orchestra with 3 conductor agents each leading their own section, all performing simultaneously across 7 nodes
Deploying Redis-Backed Catalog Service: From 500ms to 1ms Asset Lookups
Rebuilding the Cortex catalog service with Redis backend on K3s cluster - achieving 500x performance improvement with sub-millisecond lookups, high availability, and automated discovery
Building an Enterprise-Grade Unified Data & AI Catalog for Cortex
Implementing Databricks-proven governance patterns in a multi-agent AI system - automated asset discovery, complete lineage tracking, and natural language search across 42+ cataloged assets
From 80% Memory Panic to Optimized Excellence: Our K3s Cluster Transformation
A deep dive into diagnosing, optimizing, and future-proofing a production Kubernetes cluster - how we transformed perceived chaos into optimized excellence
Building a Wazuh MCP Server: AI-Driven Security Operations
Creating a comprehensive Model Context Protocol server with 25+ security tools for AI-driven Wazuh operations. From JWT authentication to KEDA autoscaling, learn how we built production-ready AI security operations.
Parallel Parallel Streams: When Two AI Brothers Built a Construction Company in the Cloud
How two Claude instances working independently deployed Cortex—an AI construction company with self-learning contractors—to production Kubernetes. 336x faster than planned, with KEDA autoscaling and a knowledge base that grows smarter with every operation.
Deploying Cortex across macOS and k3s using a novel "brother pattern" for collaborative AI deployment. Two instances, 60 workers, infinite scalability—from desktop to distributed infrastructure in 60 minutes.
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.
Building an Enterprise Security Platform: Wazuh on Kubernetes with MCP Integration
A comprehensive guide to deploying production-grade Wazuh SIEM on Kubernetes with AI-driven operations. Includes HA architecture, KEDA autoscaling, multi-infrastructure monitoring, and $6k-12k annual cost savings.
Essential security practices for containerized applications - from image hardening and vulnerability scanning to runtime protection and supply chain security.
Building a Production-Grade K3s Cluster with BGP Cross-VLAN Routing
A complete guide to building production-ready Kubernetes infrastructure using K3s, MetalLB BGP mode, and UniFi UDM Pro for seamless cross-VLAN routing. Learn how to deploy enterprise-grade networking in your homelab with automatic failover and dynamic route updates.
From Zero to Production K3s in 18 Minutes: An Autonomous Infrastructure Adventure
How I deployed a complete production-grade Kubernetes cluster with monitoring, storage, security, and automation—fully autonomously with zero manual steps. 3 nodes, 80 gigabytes storage, complete observability stack, and parallel execution magic.
Agent Orchestration Patterns for Production: Building Reliable AI Systems at Scale
Production-grade patterns for orchestrating AI agents at scale. Learn battle-tested architectures for reliability, observability, error handling, and cost optimization in real-world AI agent deployments.
How Cortex Built Itself: A Meta-Programming Journey Through Construction HQ Phases 4-8
A technical deep-dive into autonomous AI agents building production infrastructure in parallel. In 90 minutes, 7 parallel agents built 27,000+ lines of production-ready code implementing knowledge bases, K8s integration, governance, and self-healing capabilities.
Using Observability Tools for Effective Debugging: See What Your Code is Really Doing
Learn how to leverage modern observability tools for debugging. From distributed tracing to metrics dashboards, discover how to gain visibility into complex systems and debug issues faster.
Deploying a Complete SIEM Stack to K3s Using AI Agents: A Cortex Story
AI-orchestrated deployment of Wazuh SIEM + n8n automation + MCP servers to a 3-node K3s cluster via Proxmox API. Complete stack deployed in 45 minutes with zero manual SSH access - from GitHub repo creation to pod deployment.
When VLANs Go Silent: Troubleshooting Network Isolation Between UniFi and Proxmox
A deep dive into debugging inter-VLAN routing failures across virtualized infrastructure. Three stacked misconfigurations - VLAN ID set to Auto, invalid bridge IP, and empty bridge-ports - created a perfect storm where DHCP worked but routing failed.
How Cortex Learned to Write: Autonomous Blog Post Creation
Deep dive into how Cortex analyzes the blog repository, learns content patterns, and autonomously creates SEO-optimized blog posts with animated SVG heroes.
Migrating from Netlify to Cloudflare Pages: Done in 10 Minutes
How we migrated two production sites from Netlify to Cloudflare Pages in just 10 minutes with zero downtime, gaining better performance, unlimited bandwidth, and simplified infrastructure.
Transforming Cortex from a task orchestrator into a self-improving AI agent by adding RLHF feedback, self-evaluation gates, and proactive scanning. The journey from 71% to 91% AI agent alignment.
We migrated our k3s Kubernetes cluster from LXC containers to full VMs on Proxmox, achieving better isolation, full kernel access, and a cleaner foundation for future growth - all orchestrated by Cortex autonomous agents.
Perfect 100s: How We Achieved Top Lighthouse Scores Across All Categories
A deep dive into achieving perfect 100 scores in Performance, Accessibility, Best Practices, and SEO on Google Lighthouse - and the techniques that got us there.
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.
Learn how to build a portfolio that actually gets you hired. Real strategies for showcasing your skills, choosing impactful projects, and standing out in a competitive job market.
Comprehensive performance comparison of Sparse Mixture of Experts and Dense neural network architectures across metrics like inference speed, training efficiency, memory usage, and accuracy.
Research examining common ML deployment patterns in production, analyzing trade-offs between batch inference, real-time serving, edge deployment, and hybrid approaches across different use cases and constraints.
Cortex Builds Cortex: Self-Optimization Through Meta-Execution
Using Cortex to implement its own self-optimization framework - 16 tasks across 5 parallel tracks building adaptive learning, meta-intelligence, and autonomous improvement capabilities
Design patterns for building reliable, fast, and maintainable CI/CD pipelines that scale from startups to enterprises: retry logic, caching, parallelization, and failure recovery.
Practical approaches to using LLMs for generating unit tests, integration tests, and edge cases, including patterns for quality control and validation.
Cortex Builds Itself: The EUI Dashboard Inception Mode Journey
How Cortex autonomously built its own monitoring dashboard in 20 minutes using Mixture of Experts orchestration. A demonstration of true autonomous development - the system building and improving itself.
Eight Weeks of Development in Three Hours: Building a Production Observability Pipeline with AI
Using Cortex with Claude Code, we built a complete production-ready observability pipeline in ~3 hours that would traditionally take 6-8 weeks. The result - 9,253 lines of code, 94 passing tests, and an 80-100x productivity multiplier.
Transforming Cortex: From Task Router to Autonomous AI Agent Platform
Introducing the Cortex AI Agents System: production-grade autonomous agent orchestration with advanced reasoning, multi-agent coordination, and comprehensive safety controls. Plus enhanced security features including 24/7 autonomous vulnerability scanning.
Understanding Database Transactions and ACID: The Foundation of Data Integrity
A deep dive into database transactions and ACID properties. Learn what transactions are, why they matter, and how ACID guarantees keep your data consistent even when things go wrong.
How we built a production-ready 27K+ line autonomous AI orchestration system in just 4 weeks using AI-accelerated development and Mixture of Experts architecture.
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.
Master the art of managing technical debt. Learn when to refactor, when to ship, and how to make strategic decisions that balance code quality with business velocity.
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.
Building a Parallel CVE Scanning System in 45 Minutes
How we built enterprise-grade CVE scanning with parallel AI agents, achieving 100% portfolio health across 1,349 dependencies in 45 minutes vs. 40+ hours estimated.
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.
Post-Mortem Analysis: Learning from Security Incidents
Master the art of post-incident analysis - conducting blameless post-mortems, extracting actionable insights, and building a culture of continuous security improvement.
Mastering AI: Advanced Prompting Techniques That Actually Work
Learn the Tree of Thought method, Playoff technique, and the meta-skill that makes all prompting work: clarity of thought. Stop fighting with AI and start getting exceptional results.
Historic First: Cortex Builds Itself in 20 Minutes
A landmark achievement - Cortex autonomously built production MLOps infrastructure for itself using 4 parallel agents, completing in 20 minutes what would take weeks for a human developer.
A conversation with Alex Rodriguez, ML Infrastructure Lead, about the realities of running AI systems in production, covering model serving, inference optimization, cost management, and operational challenges.
Complete guide to implementing end-to-end encryption in messaging and collaboration applications with key exchange, perfect forward secrecy, and secure protocols
Practical guide to deploying Mixture of Experts models in production environments, covering infrastructure requirements, routing strategies, monitoring, and operational best practices.
Practical strategies for creating and nurturing developer communities that thrive over years, covering community platforms, engagement tactics, moderation approaches, and measuring success beyond vanity metrics.
Practical patterns for integrating AI into code review workflows, from automated PR analysis to intelligent suggestions, without replacing human judgment.
A practical guide to achieving and maintaining PCI DSS compliance for e-commerce platforms - requirements, implementation strategies, and real-world solutions.
Learn how to write code that explains itself through clear naming, intentional structure, and expressive design. Reduce documentation debt while improving code quality and maintainability.
Platform engineering emerges as the evolution of DevOps, focusing on building internal developer platforms that abstract infrastructure complexity and enable engineering teams to ship faster with confidence.
Building Multi-Agent Systems with LangChain: Orchestrating Collaborative AI
Learn to build sophisticated multi-agent systems using LangChain. From simple agent chains to complex collaborative networks, discover patterns for orchestrating multiple AI agents to solve real-world problems.
Advanced Debugging Techniques for Production Issues: Finding Needles in Haystacks
Master the art of debugging production systems. Learn how to diagnose complex issues, read stack traces effectively, use debugging tools, and solve problems that only happen in production.
From Junior to Senior: Technical Leadership Skills
The real skills that separate junior from senior engineers. Learn what technical leadership actually means, how to grow your influence, and the mindset shifts that define career advancement in software engineering.
Database Sharding Strategies for Scale: From Theory to Production
A comprehensive guide to database sharding - when you need it, how to implement it, and what strategies work best. Learn horizontal partitioning techniques that enable applications to scale beyond single database limits.
Explore proven funding strategies for sustainable open source projects, from sponsorships to commercial models that support maintainers and communities
Chain-of-Thought Prompting: Techniques and Best Practices
Comprehensive guide to chain-of-thought prompting techniques, from basic step-by-step reasoning to advanced variations like zero-shot CoT, self-consistency, and tree-of-thought approaches.
Deep dive into practical database optimization techniques. Learn indexing strategies, query analysis, and real-world solutions for improving database performance in production systems.
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.
Integration Testing Strategies for Microservices: Beyond Unit Tests
Master integration testing in microservices architectures. Learn contract testing, service virtualization, test data management, and strategies for testing distributed systems effectively.
Production-ready patterns for handling LLM API rate limits, implementing exponential backoff, and building resilient AI applications that gracefully handle failures.
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.
Exploring event-driven architecture patterns including event sourcing, CQRS, sagas, and choreography vs orchestration for building scalable distributed systems.
Distributed Tracing in Microservices: From Chaos to Clarity
Learn how distributed tracing transforms debugging microservices architectures, with practical examples using OpenTelemetry, Jaeger, and real-world troubleshooting scenarios.
Announcing expanded Model Context Protocol server integrations that connect Cortex with popular development tools, databases, and APIs, enabling seamless AI-powered workflows across your entire stack.
Talos A2a Mcp Server: An MCP (Model Context Protocol) server that provides AI assistants with the ability to interact with Talos Linux clusters through the Talos API.
An MCP (Model Context Protocol) server that provides AI assistants with the ability to interact with Talos Linux clusters through the Talos API.
Performance Benchmarking: Rust vs Go for Microservices
Comprehensive performance comparison of Rust and Go for microservices workloads, covering latency, throughput, memory usage, developer experience, and real-world production considerations.
A comprehensive guide to selecting the appropriate open source license for your project, understanding license implications, and avoiding common pitfalls
An in-depth conversation with Sarah Chen, Principal Engineer and Tech Lead, about technical leadership, team dynamics, architectural decision-making, and growing engineers into senior roles.
Create a comprehensive incident response playbook with detection, containment, eradication, and recovery procedures - complete with runbooks and automation templates.
Master the art of code reviews that improve code quality, share knowledge, and build team culture. Learn what to look for, how to give feedback, and how to structure reviews for maximum impact.
A detailed case study of our infrastructure cost optimization journey, covering rightsizing, architectural changes, and operational improvements that cut our monthly cloud spend from $150K to $60K.
N8n Mcp Server: A Model Context Protocol (MCP) server that provides seamless integration with the n8n API. Manage your n8n workflows, executions, and credentials through natural language using Claude AI.
A Model Context Protocol (MCP) server that provides seamless integration with the n8n API. Manage your n8n workflows, executions, and credentials through natural language using Claude AI.
Looking back at a year of open source contributions, community engagement, and lessons learned from maintaining projects, reviewing pull requests, and supporting contributors worldwide.
Exploring how edge computing became mainstream in 2025, driven by AI workloads, real-time applications, and data sovereignty requirements that demand processing closer to users and devices.
A practical guide to applying SOLID principles in modern codebases. Learn how these foundational design principles create maintainable, scalable software that stands the test of time.
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.
A comprehensive overview of new features, improvements, and capabilities shipped in Cortex during Q4 2025, including enhanced orchestration, improved observability, and expanded integration options.
A comprehensive guide to building production-ready Retrieval-Augmented Generation (RAG) systems using vector databases, semantic search, and LLM integration patterns.
Test-Driven Development in Practice: Writing Tests That Matter
Learn how to apply Test-Driven Development effectively in real-world scenarios. From writing your first failing test to refactoring with confidence, discover the practical strategies that make TDD work.
Master the art of performance profiling with systematic workflows, practical tools, and real-world optimization strategies. Learn how to identify bottlenecks, measure impact, and deliver measurable performance improvements.
REST API Design Best Practices: Building APIs That Stand the Test of Time
A comprehensive guide to designing robust, scalable, and maintainable REST APIs. Learn the principles, patterns, and practical techniques that separate great APIs from merely functional ones.
Your First Open Source Contribution: A Step-by-Step Guide
A comprehensive guide for developers making their first contribution to open source projects, covering everything from finding issues to submitting pull requests
Deep dive into sophisticated prompt engineering patterns for tackling multi-step reasoning, hierarchical task decomposition, and complex problem-solving with large language models.
Comprehensive guide to integrating security early in the development lifecycle with automated scanning, SAST, DAST, and security gates in CI/CD pipelines
DriveIQ: AI-Powered Vehicle Management for Your Toyota 4Runner
Track maintenance, set reminders, and consult your vehicle manual with AI assistance. DriveIQ brings intelligent vehicle management to your 2018 Toyota 4Runner SR5 Premium.
Ryan Dahlberg•
Built by ry-ops
Meet Cortex
A completely autonomous AI orchestration system with unlimited parallel execution and real-time observability. Scales from 1 to 10,000+ specialized agents on-demand.
