A practical handbook for software engineers to learn AI, Large Language Models (LLMs), and Inference Engineering—from fundamentals to production systems.
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Updated
Jul 4, 2026
A practical handbook for software engineers to learn AI, Large Language Models (LLMs), and Inference Engineering—from fundamentals to production systems.
Real-time LLM inference benchmarking dashboard: multi-config comparison (TTFT/TBT/throughput), FastAPI backend, async orchestration engine. 21/21 tests passing (100%).
Deep Agents and SvelteKit harness for authoring verifier-gated Bonsai workflow packs.
Rust + cuTile research prototype for paged latent-cache LLM decode attention, validated on an RTX 4060.
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