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Practical guides on AI/ML engineering, interview prep, and software engineering. Written for builders.
OpenAI released GPT-5.5 on April 23, 2026. Three variants, double the API price, and big jumps on Terminal-Bench, SWE-bench, and long-context benchmarks. Here is what changed, what it costs, and when to actually use each variant.
78,000 tech layoffs in Q1, yet 92% of companies plan to hire. Here is what is really happening in the tech job market, which roles are growing, and the skills that get you hired.
Rust is the most admired language. Zig powers Bun and TigerBeetle. Both target systems programming with different philosophies. Here is a grounded comparison to help you choose.
Standard RAG retrieves text chunks. GraphRAG combines vector search with knowledge graphs to understand relationships between concepts. Learn how it works and when you need it.
A technical breakdown of Anthropic's Model Context Protocol and Google's Agent2Agent protocol. Learn how they work, how they differ, and when to use each one in your agent systems.
The gap between solving 500 LeetCode problems and acing interviews is pattern recognition. Learn the 4-stage framework that builds real algorithmic intuition, not just solution memorization.
You solved 300+ LeetCode problems but still blank in interviews. The forgetting curve explains why. Here are 5 research-backed techniques that make algorithm knowledge stick permanently.
Vibe coding is dead. Agentic engineering is here. Learn how Meta, Google, and top tech companies are transforming coding interviews in 2026, and the exact skills you need to stand out.
Learn what Retrieval-Augmented Generation (RAG) is, how it works, and why it matters for building reliable AI applications. Includes architecture breakdown and hands-on tips.