How to Build an AI Coding Assistant for Your Team
Learn how to build a custom AI coding assistant for your development team. Complete guide covering model selection, IDE integration, context engines, and fine-tuning on your codebase.
Learn how to build a custom AI coding assistant for your development team. Complete guide covering model selection, IDE integration, context engines, and fine-tuning on your codebase.
Master prompt engineering for production LLM applications. Learn structured output, few-shot learning, chain-of-thought, hallucination prevention, and testing strategies developers need.
Learn how to evaluate LLM output quality in production apps. Covers rule-based validation, model-based evaluation, human review, regression testing, and production monitoring strategies.
Compare the best AI agent frameworks: LangChain, LlamaIndex, AutoGPT, Semantic Kernel, CrewAI, and Instructor. Learn which framework fits your use case and production requirements.
Learn to build production-ready AI agents with tool use capabilities. Covers tool schemas, execution loops, security sandboxes, error handling, and cost management for autonomous agents.
Compare LLM observability tools for production. Covers LangSmith, Helicone, W&B, Arize, and OpenLLMetry for monitoring costs, quality, and performance of AI applications.
Learn practical clean code techniques with real examples. Master naming conventions, function design, commenting strategies, and refactoring patterns for maintainable code.
Master essential software design patterns with practical examples. Learn when to use Singleton, Factory, Observer, Strategy and more to write maintainable, scalable code.
Learn proven strategies to refactor legacy code without breaking production. Step-by-step approach with tests, incremental changes, and risk mitigation techniques.
Master service mesh patterns with Istio, Linkerd, and Consul. Learn traffic management, security, observability, and resilience patterns for production microservices.
Build highly available systems with proven patterns. Learn redundancy, failover, load balancing, health checks, and disaster recovery strategies for production apps.
Master fault tolerance with circuit breakers, retries, bulkheads, and timeouts. Practical patterns with code examples to build resilient web applications that handle failures.
Learn how to implement circuit breaker patterns in Node.js, Python, and Java. Prevent cascading failures with proper state management, threshold tuning, and fallback strategies.
Master saga patterns for distributed transactions. Learn choreography vs orchestration, compensation design, state management, and recovery strategies with real implementations.
Build scalable notification systems that handle millions of messages across email, SMS, push, and in-app channels. Learn queue architecture, rate limiting, and delivery tracking.
Master API rate limiting with token bucket, leaky bucket, and sliding window algorithms. Learn distributed rate limiting with Redis and multi-tier limit enforcement.
Build reliable job queue systems that process millions of tasks. Learn queue architecture, retry strategies, priority handling, idempotency, and worker pool management with Redis.
Build a production-ready SaaS application with Next.js and Supabase. Complete guide covering authentication, multi-tenancy, real-time features, billing integration, and deployment.
Compare the best notification systems for SaaS: email providers like Resend and Postmark, SMS services like Twilio, and push platforms like OneSignal. Complete guide to implementation.
Compare the best SaaS templates for indie developers. In-depth review of ShipFast, SaaS Pegasus, Jumpstart Pro, and more. Save weeks of development time.
Learn how to integrate AI features into your SaaS app. Covers OpenAI and Anthropic APIs, cost management, prompt engineering, and practical implementation patterns.
Learn proven revenue growth strategies for developer-led SaaS. Covers pricing models, content marketing, enterprise expansion, and retention tactics that drive sustainable growth.
Learn to integrate OpenAI API with authentication, streaming, error handling, and cost management. Production-ready patterns for GPT-3.5 and GPT-4 implementation.
Compare Anthropic Claude, Google Gemini, Cohere, and self-hosted models. Real pricing, migration effort, and multi-provider architecture for production AI apps.
Learn DDD patterns that work in production: bounded contexts, aggregates, value objects, domain events. Strategic and tactical patterns with real code examples.
Learn how to implement hexagonal architecture with ports and adapters. Complete guide with code examples for dependency inversion and testable domain logic.
Complete clean architecture examples for JavaScript: Express APIs, React apps, and Lambda functions. Learn dependency inversion with real production code.
Learn REST API design best practices: resource modeling, URL structure, HTTP methods, error handling, pagination, authentication, and versioning strategies.
Learn API versioning strategies: URL vs header versioning, breaking vs additive changes, deprecation, database schema evolution, and semantic versioning.
Learn proven database schema design patterns that scale from thousands to millions of rows. Master indexing, partitioning, denormalization strategies for production apps.
Master event sourcing patterns for web applications. Learn event store design, projections, snapshots, schema evolution strategies for production systems.
Master the Repository pattern for clean data access. Learn domain-oriented design, caching integration, testing strategies, and patterns that work in production.
Master SOLID principles with real code examples. Learn SRP, OCP, LSP, ISP, DIP through practical before/after refactoring examples from production systems.