Topic

AI Coding Workflows

Use AI coding tools, repository-aware assistants, MCP servers, and non-developer builder workflows.

11 stories (4 articles · 7 videos)

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35 minutes
Video

AI Code Generation: Wins, Fails and the Future

IBM Technology. Discusses the uneven "barbell" shape of AI coding performance, architecture ownership, agent orchestration, context limits, open-source versus proprietary tooling and why models can solve hard tasks while still failing ordinary engineering details. That supports the article's rule that tests and human review remain the shipping gate.
Advanced
12 min read
Article

Designing MCP tools that LLMs actually use correctly

Most MCP tools we see are technically correct and practically useless. LLMs ignore them, misuse them, or call them in unhelpful ways. The principles for designing tools LLMs adopt naturally, with examples of common failures and their fixes.

Evaluate the implementation pattern, failure modes, and guardrails before building.

Advanced
14 min read
Article

MCP from scratch: build a production-ready server in TypeScript

Building a production Model Context Protocol server requires more than wiring up a few tools. The patterns for schema design, auth, error handling, streaming, observability, and the production realities that make MCP servers useful at scale.

Evaluate the implementation pattern, failure modes, and guardrails before building.

Advanced
29 minutes
Video

Prompting for Agents | Code w/ Claude

Anthropic. Hannah Moran and Jeremy Hadfield from Applied AI walking through how to phrase tool calls and agent prompts on a real Pokemon-playing agent — when to push behavior into the system prompt versus the tool description, what the model needs to know about each tool's preconditions. Useful immediately after you write your first MCP server and find Claude calling it in unexpected ways.
Advanced
19 minutes
Video

Building more effective AI agents

Anthropic. Anthropic engineers walking through what they actually changed when their multi-agent systems were misusing tools — collapsing endpoints, returning names instead of IDs, leaning on MCPs and Agent Skills instead of stuffing more tools into the system prompt. Maps point-for-point onto the article's checklist for tool descriptions and return-shape design.
Advanced
104 minutes
Video

Building Agents with Model Context Protocol - Full Workshop with Mahesh Murag of Anthropic

AI Engineer. Anthropic's Mahesh Murag walking through MCP's design — why tools, resources, and prompts are separated, how clients negotiate capabilities, what production hosts actually do with the protocol. Watch it after the build to understand the parts of MCP the SDK quietly hides and to calibrate the article's "production-ready" checklist against the spec authors' intent.
Advanced
75 minutes
Video

The Ultimate MCP Crash Course - Build From Scratch

Web Dev Simplified. A full, code-along build of both an MCP server and a client in TypeScript — tool definitions, schemas, prompts and resources, stdio transport, inspector debugging. It's the closest video on YouTube to actually doing what the article asks you to do, at a pace where you can pause and follow along in your own editor.
Advanced
5 minutes
Video

The "vibe coding" mind virus explained…

Fireship. Fireship's three rules — pick a boring popular stack, get good at Git, treat yourself as the product manager — are the same guardrails the article is trying to install. Five minutes well spent before you let an AI write to your repo unsupervised.
Intermediate
66 minutes
Video

Cursor Vibe Coding Tutorial - For COMPLETE Beginners (No Experience Needed)

Tech With Tim. Tim is one of the steadier educators in this space, and this is the most complete "open Cursor, build something, ship it" walkthrough for a non-developer audience — setup, prompting, debugging, basic Git and even a touch of MCPs. Watch it once and you'll know what the article means by "build a small internal tool."
Intermediate