#System Design

Mock Interviews With AI: System Design and Coding Feedback Loops (2026)

Software Engineer Interview Prep While Employed: The 8-Week Plan (2026)

System Design Interview Prep 2026: The New AI-Era Architectural Patterns & Questions

Building a Rate Limiter That Survives a Traffic Spike: From Token Bucket to Distributed GCRA

Conquer microservice overload and DDoS surges. Learn how to architect a production-ready, distributed rate limiter using the Generic Cell Rate Algorithm (GCRA) and atomic Redis Lua scripts.

Building Edge-First From Day One: What You'd Design Differently

The Edge-First system design blueprint. How designing for Cloudflare Workers / Vercel Edge from day one changes database connections, streaming SSR, and state persistence.

Multi-Agent Systems That Actually Ship: Orchestration Patterns That Work

Production multi-agent design patterns. Router-Worker, Hierarchical Supervisor, Map-Reduce Parallelism, and Shared Memory State orchestration in TypeScript.

Multimodal Input in Production: Video Understanding That Actually Works

Production video LLM pipelines. How frame sampling strategies, keyframe extraction, audio alignment, and multimodal token chunking power 2026 video understanding.

The Technical Moat (or Lack of One) Behind AI Wrapper Startups in 2026

Deconstructing thin AI wrappers. Why 95% of AI startups lack defensibility, and how to build genuine technical moats around proprietary data, workflow graphs, and system integration.

What Changes in Your Prompts When You Switch Model Providers

The prompt translation gap. Why switching from Anthropic Claude to OpenAI GPT or Google Gemini breaks system prompt assumptions, tool schemas, and formatting rules.

Why AI Agent Observability Is Becoming Its Own Job in 2026

Beyond basic APM logging. Why non-deterministic multi-step AI agents require causal tracing, LLM-as-a-judge evals, and production-to-test feedback loops.

Why Every Model Provider Is Racing Toward Tool-Chaining, Not Just Chat

Beyond single-turn text responses. How MCP standardization, native function calling, dynamic tool discovery, and Agent-to-Agent (A2A) delegation power 2026 AI workflows.

Dynamic Capability Injection: Registering MCP Tools on the Fly

Learn how to build extensible AI agents. Implement hot-reloading tool registries and register Model Context Protocol (MCP) capabilities dynamically.