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Master design tokens, CSS variables, Tailwind integration, shadcn/ui setup, accessible ARIA components, dark mode, and visual component testing.
Learn how to design scalable, reliable, and maintainable systems — from single servers to distributed architectures used by millions of users.
Master 60+ essential AI, LLM, RAG, agentic, fine-tuning, safety, and LLMOps terms with architectural diagrams, code examples, self-checks, and exercises.
Prepare for Anthropic's Claude Certified Associate – Foundations exam: prompting, checking Claude's output, choosing models and features, workflows, Projects, governance and troubleshooting. 25 lessons, each with a video, exam traps and self-checks. No coding needed.
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Anthropic runs four role-based Claude certifications: Associate – Foundations, Developer – Foundations, Architect – Foundations and Architect – Professional. Mo…
Claude Code is an agent that works in your project: it reads files, edits them, and runs commands such as your test suite. That makes the first session differen…
"MCP or OpenAPI?" is a common question when connecting AI agents to tools, and it is slightly the wrong question. The Model Context Protocol is a protocol: a cl…
Asking a model to "reply in JSON" works until it does not: a missing field, a trailing comment, a number returned as a string, a polite sentence before the open…
Google's Gemini CLI is an open-source coding agent for the terminal. Three mechanisms decide what it knows and what it can do: context files (GEMINI.md), which …
LangChain, LlamaIndex, and the Claude Agent SDK all help you build applications where a model calls tools, but they start from different centres of gravity. Lan…
The Model Context Protocol (MCP) is an open protocol for exposing tools, resources, and prompts to AI applications over JSON-RPC 2.0. One server can serve many …
An agent that runs for four seconds inside one HTTP request can afford to fail: the user retries and nothing else happened. An agent that runs for eleven minute…
A base language model finishes text. It does not answer questions, refuse harmful requests, or stop talking at the right moment — those behaviors are installed …
A 70B-parameter model does not fit on an 80GB GPU, and the reason is not the parameters. In mixed-precision training with Adam you carry roughly sixteen bytes p…
Artificial intelligence terminology moves so fast that concept definitions quickly become bloated with marketing fluff and overlapping jargon. Understanding the…
Plan mode is the Claude Code permission mode for thinking before touching code. Claude reads files, runs commands to explore, and writes a plan, but does not ed…
A CLAUDE.md file is where you write down what you would otherwise re-explain to Claude Code every session: the build command it cannot guess, the directory wher…
A Claude Code skill is a folder with a SKILL.md file: YAML frontmatter that says what the skill is for, and markdown instructions Claude follows when it runs. Y…
An AI agent that calls tools sounds like it needs a framework. It doesn't. The model never runs anything itself: it returns a structured request to call a tool,…
A language model does not output text. At each step it outputs one score per vocabulary token, and a separate piece of code, the sampler, turns those scores int…
BM25 is a ranking function from the 1990s that still runs behind Lucene, Elasticsearch and OpenSearch, and it is still the baseline that new retrieval models ar…
Model APIs fail in ordinary ways: rate limits, overloaded capacity, server errors, dropped connections and calls that run longer than a timeout. Most of these a…
The Claude Code CLI has grown from claude plus a few convenience flags into a full control surface: interactive sessions, one-shot SDK-style calls, background a…
Open a chat with an LLM and ask it to fix a bug, and the best you get back is a suggested diff you copy into your editor by hand — the model never touched your …
Every few months a new system gets called a "world model" — Genie generating playable game worlds from a single image, Sora producing minutes of physically plau…
Tell an agent to book a one-way flight from Seattle to Austin and the airline has no public booking API — the only way in is the same website a human customer w…
You have probably seen a claim shaped like this on a model card: "70B total parameters, but only 13B active per token." That is not marketing rounding — it desc…
Modern coding agents are no longer just chat boxes beside your editor. The useful power comes from controls around the loop: commands you can invoke, checkpoint…
Running one AI coding agent on a task is easy. The moment you want three or thirty of them working at once — without two agents editing the same file, without l…
Timeline slides about Claude Code usually stack five gold dates and call it a rise. Dates are useful only when you ask what capability boundary moved at each ma…
An issue says ORD-142: checkout-api resets after 30 seconds. Every AI coding product claims it can fix the bug, run tests, and open a pull request. The useful q…
A support ticket that needs docs, a tool call, and a model reply does not need twelve equal "frameworks." It needs an orchestration lane, a retrieval lane, a se…
AI agents rarely work alone. They read files, query databases, call business APIs, and sometimes delegate work to other agents. Without shared contracts, every …
A prompt is only one part of a production AI system. Engineers also need vocabulary for execution loops, tool connections, model access, cost, evaluation, safet…
Artificial intelligence is not here to replace .NET developers. It is here to extend what they can build. The fundamentals you already know — services, APIs, da…
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