7 Practical Engineering Learning Paths
Whether you are building LLM agents, optimizing web performance, or preparing for engineering placements, choose a structured path below.
AI Engineering & LLM Systems
Master AI agent architectures, streaming pipelines, prompt validation, and vector database retrieval.
Web Development & Performance
High-performance web architecture, Astro 5 SSR, Next.js 14 App Router, and design tokens.
Open Source Case Studies & Projects
Deep dives into real-world software architecture, multi-agent operating systems, and open-source tools.
Systems Experiments & Benchmarks
Empirical investigations into LLM streaming throughput, Wasm cold starts, and database latency.
Developer Tooling & Directory
Curated developer tools, CLI utilities, and productivity frameworks evaluated for technical teams.
Full-Stack AI Engineering Roadmap
Structured 120-hour curriculum taking developers from web fundamentals to building production AI agents.
CS Career & GATE Placement Hub
Quantitative aptitude, technical interview preparation, software placement strategies, and GATE 2027 study materials.