Which programming language does the training cover?

Language-agnostic — agent tools work with TypeScript, Python, Java, Go and other popular languages. We tailor examples to your team's stack.

Does Claude Code replace Cursor?

Not necessarily — they have different roles. Cursor Composer is best for in-IDE multi-file work. Claude Code is best for terminal-based long-running agent work. Many teams use both.

Does Codex replace Devin?

OpenAI Codex (2026) is more practical and cheaper — best for longer cloud tasks. Devin is for full-service tickets. We teach both and how to choose.

What is MCP and why does it matter for developers?

Model Context Protocol (MCP) is the standard for how AI uses your tools — DB, Linear, GitHub, Slack. By 2026 it's effectively unavoidable for any developer using agents.

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AI for Developers

AI for Developers in 2026 isn't an autocomplete training anymore — it's about agentic coding. We teach Claude Code (terminal agent), OpenAI Codex (cloud agent), Cursor Composer (IDE agent) and Devin (autonomous engineer). How to choose between them, how to write good task specs, how to integrate them into existing systems via MCP, and how to measure agent output quality.

Tools

Claude Code

OpenAI Codex

Cursor + Composer

Windsurf

GitHub Copilot

Devin

MCP

Aider

Who it's for

This training fits if…

Developers already using AI who want to level up
Tech leads and team leads evaluating agent ROI
DevOps and platform engineers
Solid technical experience required (this is not a beginner course)

Outcomes

What you take away.

Use Claude Code, Codex and Cursor Composer as agents, not autocomplete
Write task specs that an agent can complete autonomously
Integrate your systems (DB, API, docs) with AI via MCP
Run multiple agents in parallel (Codex in cloud, Claude Code locally)
Measure agent output quality with evals and regression tests
Do AI-assisted code reviews and architecture planning

Curriculum

Training modules.

Agentic coding 2026

· Autocomplete vs IDE agent vs terminal agent vs cloud agent
· Claude Code in practice — terminal workflow
· Cursor Composer and Windsurf — multi-file agent
· OpenAI Codex in cloud — long-running tasks
· Devin — autonomous full-ticket engineer

Giving agents the right tasks

· Spec-driven development
· Clear definition of done
· Context management — what goes into the prompt vs CLAUDE.md
· Iteration and self-correction

MCP — connecting agents to systems

· MCP servers: Postgres, Slack, Linear, GitHub
· Building your own MCP server
· Permissions and security
· Tool history and audit

Parallel agent work

· Multiple agents on the same codebase — avoiding conflicts
· Codex in cloud running in background, Claude Code locally
· Git-safe workflows (worktrees, per-agent branches)
· Eval pipelines — agents measuring agents

Code review and quality

· AI-assisted code review (Claude / Codex Review)
· Automating regression tests
· Maintaining docs with AI
· Architecture planning with reasoning models

FAQ

Frequently asked questions.

Other trainings.

Full day

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