Engineering essays in a multi-part series on building production AI systems, covering evaluation, durable workflows, and validating model output. Readers get concrete design patterns, failure scenarios, and references to standards such as RFC 9110 and JSON Schema.
Website: https://hiteshsharma.dev/
Weekly lessons that explain one AI engineering concept at a time, such as transformer internals, LLM inference serving and agent-based bug hunting. Each issue pairs concrete numbers and worked examples with a paid script readers can run themselves.
Covers AI engineering news, agent tooling, and infrastructure, mixing daily AINews roundups with original essays and podcast-driven analysis from the AI Engineer community. Readers get technical breakdowns of model releases, security events, and inference economics, plus opinionated takes on where agent harnesses are headed.
A practitioner's newsletter on running AI coding agents in real workflows, covering provider usage limits, billing quirks, failover between Claude and Codex, and reasoning-effort settings. Posts mix first-hand incident write-ups with concrete commands, benchmark figures and decision rules.
A technical blog from GovTech Singapore covering how the government builds, evaluates and governs AI systems for public service use. Posts include benchmark design, agent observability engineering, and leadership perspectives on central versus embedded AI engineering.
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