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Practical guides on DevOps, AI integration, cloud infrastructure, and modern software engineering — written from production experience.
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CI/CD Pipelines for AI Model Deployment: A Complete Guide
Learn how to build robust CI/CD pipelines for AI model deployment using GitHub Actions, Docker, and Kubernetes. Covers testing, versioning, and rollback strategies.
Building Multi-Agent AI Systems with LangGraph
A practical guide to building multi-agent AI systems with LangGraph. Covers agent design patterns, state management, tool use, and debugging complex agent workflows.
Kubernetes for LLM Inference: Scaling AI Workloads
How to run LLM inference at scale on Kubernetes. Covers GPU node pools, auto-scaling, vLLM deployment, resource requests, and cost-efficient spot instance strategies.
n8n + AI: Automating Business Workflows Without Code
How to use n8n with AI to automate business workflows. Learn to build AI pipelines that connect your CRM, email, Slack, and databases with zero custom code.
Integrating Claude API into Your Next.js Application
Step-by-step guide to integrating the Anthropic Claude API into a Next.js 15 app. Covers streaming, tool use, error handling, and rate limit management in production.
DevOps Best Practices for AI-Powered Applications in 2025
The DevOps practices that matter most for AI applications in 2025: model versioning, prompt management, LLM observability, cost controls, and incident response.
AWS Infrastructure for AI Workloads: The Complete Setup
How to architect AWS infrastructure for AI workloads: EC2 GPU instances, SageMaker endpoints, Bedrock integration, S3 for model storage, and cost optimization patterns.
Vector Databases Compared: Pinecone vs Weaviate vs Chroma vs pgvector
An honest comparison of Pinecone, Weaviate, Chroma, and pgvector for production RAG systems. Covers performance, pricing, scaling limits, and when to use each.
From Prototype to Production: Deploying Your AI SaaS
A practical roadmap for taking an AI SaaS from prototype to production. Covers infrastructure decisions, auth, billing, observability, and the common failure modes teams hit.
React Native + AI: Building Intelligent Mobile Applications
How to integrate AI capabilities into React Native apps. Covers on-device inference with ONNX, cloud API integration, streaming chat UI, and offline-first AI patterns.
Docker Best Practices for Machine Learning Workloads
Docker best practices for ML workloads: multi-stage builds for lean images, GPU access with nvidia-container-runtime, model caching strategies, and build optimization.
NestJS Backend Architecture: Building APIs That Scale to Millions
A deep-dive into NestJS architecture patterns for production APIs — modules, guards, interceptors, caching, queue-based workers, and horizontal scaling strategies.
PostgreSQL Performance Tuning for Production: The Complete Guide
How to diagnose and fix slow PostgreSQL queries in production. Covers EXPLAIN ANALYZE, index strategies, connection pooling, vacuuming, and query optimisation patterns.
Terraform on AWS: Infrastructure as Code From Zero to Production
A practical guide to managing AWS infrastructure with Terraform. Covers state management, modules, workspaces, secrets, and CI/CD integration for safe infrastructure changes.
Building Real-Time Features with WebSockets and Node.js
How to build production-grade real-time features using WebSockets in Node.js. Covers Socket.IO, connection management, Redis pub/sub for multi-server scaling, and reconnection logic.
Prompt Engineering for Production LLM Applications
Advanced prompt engineering techniques for production systems: few-shot prompting, chain-of-thought, structured output, prompt versioning, and evaluation-driven iteration.
Deploying React Native Apps to App Store and Play Store with Expo
The complete guide to deploying React Native apps using Expo EAS Build and Submit. Covers signing certificates, OTA updates, environment configs, and CI/CD automation.
Building a Full Observability Stack with Prometheus and Grafana
How to set up a production observability stack using Prometheus, Grafana, Loki, and Alertmanager. Covers metric collection, log aggregation, dashboards, and on-call alerting.
Building a Full-Stack App with Supabase and Next.js 15
How to build a production-ready full-stack application using Supabase for auth, database, storage, and realtime — with Next.js 15 App Router and server actions.
Fine-Tuning LLMs with LoRA: Building Custom Models on a Budget
A practical guide to fine-tuning large language models using LoRA and QLoRA. Covers dataset preparation, training with Unsloth, evaluation, and serving your custom model in production.
GitHub Actions: Advanced Patterns for Production CI/CD
Advanced GitHub Actions patterns for production pipelines: matrix builds, reusable workflows, caching strategies, OIDC for cloud auth, and optimising for speed and cost.
Next.js Performance Optimization: Achieving Perfect Core Web Vitals
How to optimise a Next.js application for Core Web Vitals: LCP, INP, and CLS. Covers image optimisation, font loading, bundle splitting, caching headers, and ISR strategies.
Redis Caching Patterns for Production Applications
Production Redis caching patterns: cache-aside, write-through, TTL strategies, cache invalidation, distributed locks, and avoiding common pitfalls like thundering herds and stale data.
GraphQL API Design for Production: Patterns That Scale
How to design and deploy a production GraphQL API with Next.js and Apollo Server. Covers schema design, N+1 problem, DataLoader, persisted queries, and security hardening.
LLM Observability in Production with Langfuse
How to implement full LLM observability using Langfuse. Covers tracing multi-step chains, tracking token costs, evaluating output quality, and debugging agent failures in production.
Helm Charts: Packaging and Deploying Kubernetes Applications
A practical guide to writing Helm charts for production Kubernetes deployments. Covers chart structure, templating, values files, hooks, chart testing, and publishing to OCI registries.
TypeScript Advanced Patterns for Production Codebases
Advanced TypeScript patterns that improve correctness and maintainability in large codebases: branded types, discriminated unions, type guards, conditional types, and satisfies.
AWS Lambda in Production: Patterns for Serverless APIs
Production patterns for AWS Lambda: cold start optimisation, provisioned concurrency, Lambda Layers, function composition, error handling, and cost control for serverless APIs.
OpenAI Function Calling: Building Structured AI Workflows
A deep dive into OpenAI function calling and structured outputs. Covers tool definition, parallel tool calls, multi-turn tool use, error handling, and building reliable AI agents.
Zapier vs Make: Choosing the Right Automation Platform for AI Workflows
A practical comparison of Zapier and Make (Integromat) for AI automation workflows. Covers pricing, capability differences, when to use each, and building hybrid human-in-the-loop pipelines.
Flutter in Production: Building Cross-Platform Apps That Feel Native
A practical guide to Flutter for production mobile apps. Covers state management with Riverpod, platform channels for native features, performance profiling, and CI/CD with Fastlane.
Monitoring and Alerting for AI Applications with Datadog
How to set up comprehensive monitoring for AI-powered applications using Datadog. Covers custom LLM metrics, distributed tracing, cost dashboards, anomaly detection, and on-call workflows.
Zero-Downtime Deployments in Kubernetes: A Practical Guide
How to achieve true zero-downtime deployments in Kubernetes. Covers rolling updates, readiness probes, PodDisruptionBudgets, graceful shutdown, and database migration strategies.
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