codejunkie99

Agent Roadmap 2026 — AI skill for Claude Code

AI community

The 2026 AI Agent Engineering Roadmap — 6 phases, 17 weeks, primary sources only.

How to install Agent Roadmap 2026

This entry records only its repository, not the path inside it, so there is no exact command to give. Open codejunkie99/agent-roadmap-2026 and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Agent Roadmap 2026 does

The 2026 AI Agent Engineering Roadmap — 6 phases, 17 weeks, primary sources only. Built so you can paste the link into any agent.

Alternatives in AI

Skill Seekers Roadmap — Transform Skill Seekers into the easiest way to create Claude AI skills from any knowledge source - documentat 11.1k ★
Fact Checker — Verify claims and facts with sources 653 ★
Karpathy LLM Wiki — Agent Skills-compatible LLM wiki for Claude Code, Cursor, and Codex 618 ★

README

The 2026 AI Agent Engineering Roadmap

A 6-phase, 17-week guide to building, harnessing, evaluating, and shipping production agent systems. Primary sources only. ~8,000 words.

📖 **Read it:** [ROADMAP.md](./ROADMAP.md)

Give it to your agent

Two ways to use this with **Claude Code, Codex, Cursor, OpenClaw, or any agent that can fetch URLs**.

Option A — Just read the roadmap

Paste this into your agent:

Read https://raw.githubusercontent.com/codejunkie99/agent-roadmap-2026/main/ROADMAP.md and use it as my reference for agent engineering.

The agent fetches the full roadmap as context. Done.

Option B — Personalize it for me (recommended)

Paste this into your agent:

Follow the protocol in https://raw.githubusercontent.com/codejunkie99/agent-roadmap-2026/main/AGENT.md to build me a personalized agent engineering roadmap.

The agent will:

Load the canonical roadmap.
Ask you 5 questions (level, hours/week, stack, provider, goal).
Write a tailored MY_ROADMAP.md to your project — adjusted timeline, filtered resources, checklist of deliverables.
Write an AGENTS.md so future agent sessions in that folder pick up where you left off automatically.

You end up with a working plan in your repo, not a tab full of notes.

Files

File	Purpose
ROADMAP.md	The full canonical roadmap.
AGENT.md	Protocol an agent follows to personalize the roadmap for a user.
README.md	This file. Entry point and the two prompts above.

Why this exists

Anthropic's own number: same model, different harness, **78% vs 42%** on CORE. That gap is harness engineering, and the field is bottlenecked on engineers who can build it. This roadmap is the path from "I've called an LLM API" to "I ship production agents that don't regress."

If you find a broken link or want to suggest a better resource, open an issue or PR.