AI Training Academies • Agentic Coding Mastery

Master Agentic Coding Tools

A 10-day intensive program for senior engineers and tech leads. Deep-dive into terminal-based coding agents and MCP development, closing with a capstone that instruments an existing repo with a complete agentic workflow.

10
Training Days
2
Weeks
2–4
Weeks Flexible

Schedule options: Full-time (2 weeks, Mon–Fri) · Half-days (~4 weeks) · Custom cadence for global teams

Request Training Quote View Curriculum
Claude CodeClaude Code
GitHubGitHub Actions
PythonPython
TypeScriptTypeScript
IDEs & Editors
VS CodeVS Code
CursorCursor
WindsurfWindsurf
Visual StudioVisual Studio
JetBrains IDEsJetBrains
ZedZed

Go Beyond IDE Plugins — Command the Full Agentic Stack

This program is designed for engineers who already use AI assistants day-to-day and want to push significantly further: terminal-driven autonomous agents, custom tool and hook development, MCP server engineering, and multi-agent orchestration for real development workflows.

  • Senior-Level Content
    Assumes working AI assistant experience; no basics coverage
  • Real Codebase Capstone
    Instrument the customer's own repo, not a toy project
  • Hands-On Throughout
    Every module includes substantive lab work
  • Flexible Scheduling
    Full days, half-days, or custom cadence
  • Online or On-Site
    Delivered wherever your team works
  • Session Recordings
    Review material at your own pace (online delivery)
Week 1: Coding Agents

Claude Code, Codex, Aider — subagents, hooks, slash commands, CLAUDE.md, custom tools, GitHub Spec Kit

Week 2: MCP, Orchestration, and Capstone

MCP server development, multi-agent orchestration, agentic PR automation, AI-driven test generation, capstone

Academy Curriculum

Two intensive weeks covering agentic coding tools and MCP development, closing with a real codebase capstone.

Week1

Terminal-Based Coding Agents

5 full-days or 10 half-days · 35 training hours

Master Claude Code, Codex, and Aider at a professional depth: CLAUDE.md authoring, hook and custom tool development, subagent orchestration, headless CI usage, GitHub Spec Kit's spec-driven workflow as a tool-agnostic discipline layer, and comparative evaluation.

Topics

  • Claude Code: setup, CLAUDE.md, slash commands
  • Custom tools and hook lifecycle automation
  • Subagent orchestration: fan-out, pipeline patterns
  • Headless (CI) Claude Code usage
  • OpenAI Codex: CLI, IDE extension, and cloud agents (GPT-5.x Codex models)
  • Aider: Git-native, repository map, commit workflow
  • GitHub Spec Kit: specify → plan → tasks → implement workflow across agents
  • Comparative tool evaluation framework

Lab Project

Build a CLAUDE.md + custom tool + hook pipeline that automates a realistic multi-step development task on a sample codebase.

Week2

MCP, Orchestration, and Capstone

5 full-days or 10 half-days · 35 training hours

Build and deploy MCP servers, design multi-agent orchestration patterns, add agentic PR automation to CI, integrate AI-driven test generation, and close with a full capstone on the customer's own codebase.

Topics

  • MCP server development (TypeScript and Python)
  • Multi-agent orchestration: planner/worker, hand-offs
  • Agentic PR automation in GitHub Actions
  • AI-driven test generation and coverage CI gate
  • LLM observability and cost dashboards for agents
  • Eval harness for agentic workflows
  • Capstone: full agentic workflow on customer repo

Capstone Project

Instrument a slice of the customer's own repository with a complete agentic workflow: CLAUDE.md, custom MCP tool, CI agentic review, AI test generation gate, eval harness, and cost dashboard.

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