Build software the AI-first way—safely, fast, and to production standards.

This hands-on training shows you how to integrate Claude Code, Cursor, and MCP servers into your daily workflow, craft reusable rules & guardrails, and ship real features with tests, CI, and code reviews—without the “demo-only” fluff.

Who it’s for

1. Backend, frontend, or full-stack devs (mid → senior+)
2. Tech leads/CTOs standardizing AI-assisted delivery
3. Teams moving from ad-hoc prompting to repeatable workflows

What we’ll cover (modular, pick what you need)

Foundations of AI-First Development

When AI helps vs. hurts • Decomposition & spec-first habits • Safety, privacy, and IP basics

Claude Code & Cursor Deep Dive

Project setup, context windows, repo maps • Effective change requests • Multi-file edits • Inline vs. agent modes

Rules, Playbooks & Guardrails

Writing durable rulesets (style, stack, constraints) • Prompt patterns • “Red team” tests for your rules

MCP Servers for Real Integrations

Why MCP • Designing tools (schema, auth, rate limits) • Build a minimal MCP server to expose your APIs/DBs safely

Production-Grade Code Generation

From ticket → spec → code → tests → docs • Golden paths & scaffolds • Handling migrations, errors, and observability

Quality, CI/CD & Evals

Linting/formatting contracts • Unit/integration test generation • Lightweight evals for codegen reliability

Team Operating System

Branching & PR choreography with AI • Code review prompts • 30-60-90 rollout plan & KPIs (cycle time, DORA)

Outcomes—you’ll leave with

A personalized ruleset for your stack (coding standards, architecture preferences, constraints)

1. A starter MCP server template wired to a safe sandbox/tooling API
2. A project/bootstrap template (tests, CI, docs, scripts) ready for AI-assisted delivery
3. A prompt & checklist pack for specs, refactors, tests, and reviews
4. A repeatable workflow to ship features 2–5× faster without quality loss

Format & logistics

1:1 session or team workshop (2–6 hrs; can be split into modules)

Live coding on your repo or a safe sample project

Recording, materials, and next-steps plan included

Pre-reqs: Git basics, editor of choice (VS Code), access to Claude/Cursor (or we use trial)

Optional add-ons

Ruleset hardening on your live codebase

MCP tool design for your internal services

KPI dashboard & rollout coaching (2–4 weeks)

Book a session to turn AI from a novelty into a disciplined engineering multiplier—shipping real, maintainable software faster.