AI directory search

Search across educators, skills, and resources.

Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.

7 matches for "tokens"

Video matches

Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.

Better AI Models Won't Fix Your Engineering Team — Nicholas Arcolano, Jellyfish video thumbnail ►

Better AI Models Won't Fix Your Engineering Team — Nicholas Arcolano, Jellyfish

AI Engineer · 2026, AI coding, developer productivity, engineering teams

One Day, $1,000 in Tokens: An AI War Room for Legacy Code — Ford Prior, GEICO video thumbnail ►

One Day, $1,000 in Tokens: An AI War Room for Legacy Code — Ford Prior, GEICO

AI Engineer · 2026, legacy code, coding agents, modernization

Learning paths

Resources

GitBook AI-agent attack response guide

AI security incident analysis · GitBook · Intermediate

Use this guide to respond to GitBook's November 2026 security incident, rotate connected credentials and separate confirmed exposure from unanswered questions.

GitBook, AI agents, security incident, API tokens, Git Sync

Reduce coding agent cost without lowering quality

AI coding agent guide · Learnetto · Intermediate

Your coding agent completes useful work but spends too many tokens, repeats retrieval, or carries noisy tool output through later turns.

coding agents, cost, context engineering, tool output, prompt caching

LLM Fundamentals

Free tutorial · Matt Pocock · Beginner

You need clear mental models for system prompts, tokens, context windows, tools, and agents before building or using AI systems seriously.

llm fundamentals, tokens, context windows, tools, agents

Ember-1 explained

Reasoning-efficient coding model explainer · Fireworks AI · Intermediate to advanced

Fireworks released Ember-1 on September 23, 2026 as a Kimi K3-based model trained to use fewer reasoning tokens. Use this explainer to evaluate the quality, cost, latency, and context-growth claims on your own agent workload.

ember-1, kimi k3, reasoning models, reasoning tokens, cost optimization