GangForCode 
Learn Event-Driven Architecture with a real-world e-commerce example, Kafka, Python code, event patterns, retries, idempotency, the Outbox Pattern, and production best practices.
Prepare for React interviews with 40+ questions and answers covering components, JSX, hooks, state, Context, performance, rendering, coding problems, and senior-level architecture.
Learn how to monitor and evaluate a production-grade RAG pipeline with retrieval metrics, faithfulness, observability, latency, cost, regression testing, and user feedback.
Google Gemini 3.8 Live and Live Extended Thinking bring real-time voice, visual context, background reasoning and tool use to developers building AI agents.
PrismML’s Bonsai 2 27B compresses Qwen3.8 27B into a 5.9GB ternary model. Explore its architecture, benchmarks, 262K context, vision, tool calling, local setup, hardware support, and real-world trade-offs.
Prepare for RAG system interviews with practical questions on architecture, chunking, embeddings, vector databases, retrieval, reranking, evaluation, security, latency, cost, and production system design.
A practical AI/ML roadmap covering Python, mathematics, machine learning, deep learning, transformers, LLMs, RAG, AI agents, MLOps, and real-world projects.
When building Python applications, you may eventually encounter tasks that take a significant amount of time to complete. Running these tasks one after another can make your application slow and inefficient. Python provides several ways to execute multiple tasks concurrently. Two of the most commonly used approaches are multithreading and multiprocessing. This topic also fits … Read more
Retrieval-Augmented Generation (RAG) has become one of the most important architectures for building production-grade Generative AI applications. From enterprise chatbots and document Q&A systems to AI search engines and knowledge assistants, RAG allows Large Language Models (LLMs) to generate responses using external, up-to-date, and domain-specific information. If you are preparing for an AI Engineer, Machine … Read more
AI coding assistants have transformed software development, but many developers hesitate to use Claude Code because it typically requires an Anthropic subscription or API credits. Fortunately, there’s another way. By connecting Claude Code to OpenRouter, you can route requests through dozens of AI models—including several free models—while keeping the same Claude Code experience. In this … Read more