AI-Native Development
Navigate 25+ AI Tools — From Requirements to Production Monitoring
AI tools, hands-on
Ecosystems compared
Features shipped
The Problem Every Developer Faces Today
AI tools for software development are multiplying fast — and every team is adopting them differently. The result: developers who can use one tool but can't navigate the ecosystem. They don't know which AI assistant is best for which phase of development, which tools actually save time vs. create friction, or how to compare Claude Code vs. GitHub Copilot vs. Cursor vs. Gemini CLI.
"The real skill gap isn't coding. It's knowing which AI tool to reach for — and when."
GitHub's 2024 research found developers complete tasks up to 55% faster with AI coding assistants — and that covers only the development phase. This program covers all nine SDLC phases.
What You'll Build: LearnFlow LMS
A complete, production-ready Learning Management System — from scratch, end-to-end, using four different AI ecosystems.
12 Features Shipped
12 full-featured use cases across 4 AI ecosystems
Full-Stack
Python + FastAPI + React + PostgreSQL
Portfolio Project
Real project with tests, docs, CI/CD, and monitoring
You Run This (Fixed Platform)
- Python 3.13 + FastAPI + SQLAlchemy
- React 19 + TypeScript + Tailwind CSS 4
- PostgreSQL 17 + JWT auth
- Docker + GitHub Actions
- Render / Fly.io (hosting)
AI Generates This
- All feature code, endpoints, models
- Components, pages, API integration
- Migrations, schemas, auth logic
- Dockerfiles, CI/CD YAML, compose configs
- pytest suites, Playwright E2E, API docs
Who Should Attend
This program is designed for technical professionals who want to master AI-assisted development
Software Developers
Level up with AI tools your team is already adopting
Tech Leads & Architects
Evaluate AI tool choices with hands-on evidence
DevOps / Platform Engineers
AI-generated pipelines, security scans, monitoring
QA Engineers
AI-generated test cases, edge case detection, E2E automation
Engineering Managers
Understand ROI and trade-offs of each AI ecosystem
Four Ecosystems. One Project. Every Phase.
Compare 4 complete AI development ecosystems side-by-side. Each ecosystem covers all 9 SDLC phases.
Claude / Anthropic Ecosystem
Features: User Auth (UC-1), Lesson Progress (UC-5), Course Reviews (UC-9)
| SDLC Phase | AI Tool | What the AI Does | Free Tier |
|---|---|---|---|
| Requirements | Claude.ai | Generate user stories, acceptance criteria, data models | ✅ Generous daily free tier |
| Requirements | Fathom | AI-transcribe stakeholder calls, extract action items | ✅ Unlimited AI notes (storage limits) |
| Design | v0 (Vercel) | Generate React components from prompts | ✅ Daily credits |
| Design | Uizard | AI wireframe & mockup generation | ✅ 3 free projects |
| Development | Claude Code | Terminal AI agent for full-stack code generation | ✅ Included with Claude.ai |
| Code Review | CodeRabbit | AI code review on every pull request | ✅ Free for open source repos |
| Testing | Claude Code | Generate pytest test cases, Playwright E2E tests | ✅ Same quota |
| Testing | Qodo | AI-generated edge case tests, test intelligence | ✅ Free individual plan |
| Security | Snyk | Vulnerability scanning, fix recommendations | ✅ 200 tests/month for open source |
| Documentation | Mintlify | Auto-generate API reference portal | ✅ Starter plan (limited pages) |
| Documentation | Claude Code | Generate docstrings, README, architecture docs | ✅ Same quota |
| CI/CD | Claude Code | Generate GitHub Actions YAML, Docker configs | ✅ Same quota |
| Monitoring | Datadog Watchdog | ML-powered anomaly detection & root cause analysis | ✅ 5 hosts, 1-day retention |
Lab Workflow
- 1Generate user stories & acceptance criteria with Claude.ai
- 2Transcribe a mock stakeholder call with Fathom
- 3Generate React component wireframes with v0
- 4Build backend API endpoints with Claude Code
- 5Create pull request & get AI review from CodeRabbit
- 6Generate pytest test suite with Claude Code
- 7Add edge case tests with Qodo
- 8Run Snyk security scan, apply AI-generated fixes
- 9Generate API docs with Mintlify
- 10Set up GitHub Actions CI/CD with Claude Code
- 11Deploy to Render and configure Datadog monitoring
CodeRabbit, Qodo, and Datadog appear across multiple ecosystems by design — they are the strongest free-tier options for code review, test intelligence, and AI monitoring respectively.
Use ← → arrow keys to navigate ecosystems
12 Real Features. Real Software.
Every use case is a complete, production-ready feature built with a different AI ecosystem
| Use Case | Feature Built | Tool Set |
|---|---|---|
| UC-1 | User Registration & Authentication | Set A |
| UC-2 | Course Creation & Management | Set B |
| UC-3 | Student Enrollment | Set C |
| UC-4 | Quiz & Assessment Engine | Set D |
| UC-5 | Lesson Delivery & Progress Tracking | Set A |
| UC-6 | Analytics Dashboard | Set B |
| UC-7 | Notifications | Set C |
| UC-8 | Certificate Generation | Set D |
| UC-9 | Course Reviews & Ratings | Set A |
| UC-10 | Search & Filter | Set B |
| UC-11 | User Profile Management | Set C |
| UC-12 | Admin Panel | Set D |
Final deliverable: A deployed, tested, documented LMS with CI/CD and monitoring — built using four distinct AI ecosystems.
Every Tool. Every Phase.
AI tools span all 9 SDLC phases — not just code completion
Requirements & Planning
UI Design & Prototyping
Development
Code Review
Testing
Security
Documentation
CI/CD
Monitoring
"AI tools generate. Platform tools execute."
| Platform Tool | Role | The AI Tool That Generates for It |
|---|---|---|
| pytest | Runs tests | Claude Code / Cursor / Gemini CLI generate the test files |
| GitHub Actions | Runs pipelines | Claude Code / Copilot / Gemini CLI generate the YAML |
| Docker | Runs containers | AI tools generate Dockerfiles and compose configs |
| SonarQube | Runs static analysis | Rule-based — not an AI tool |
| Grafana | Shows dashboards | Rule-based visualization — Datadog Watchdog is the AI layer |
Tool Coverage Across Ecosystems
26 AI tools evaluated across all 4 ecosystems. See which tools work where.
| AI Tool | Set AA | Set BB | Set CC | Set DD |
|---|---|---|---|---|
| Claude Code | — | — | — | |
| GitHub Copilot | — | — | — | |
| Cursor | — | — | — | |
| Gemini CLI | — | — | — | |
| Codeium | — | — | ||
| Claude.ai | — | — | ||
| Gemini.google.com | — | — | — | |
| Copilot Chat | — | — | — | |
| Fathom | — | |||
| Otter.ai | — | — | — | |
| Gamma | — | — | ||
| v0 (Vercel) | — | — | ||
| Uizard | — | |||
| Figma AI | — | — | ||
| Framer AI | — | — | — | |
| CodeRabbit | ||||
| Sourcery | — | — | — | |
| Qodo | — | |||
| Snyk | — | |||
| GitHub Adv. Security | — | — | — | |
| Semgrep | — | — | — | |
| Mintlify | — | — | ||
| GitBook | — | — | — | |
| Swimm | — | — | — | |
| Canny | — | — | — | |
| Datadog |
What Makes This Program Different
Four Ecosystems, Not One
Most programs teach one tool stack and call it done. You leave knowing four ecosystems and how to make a reasoned choice between them.
Full SDLC, Not Just Coding
Requirements → Design → Development → Code Review → Testing → Security → Documentation → CI/CD → Monitoring. Every phase. Every use case.
Free Tiers for Labs
Every AI tool used in hands-on labs has a free tier. See the important note below on future availability.
Real Software, Not Exercises
LearnFlow is a real application with a real database, real authentication, real tests, and a real deployment. Your portfolio project has substance.
Industry Context
Paid tools (Mabl, Devin, Dynatrace Davis AI, Productboard) are covered in instructor sessions so you understand the full market — you just don't need to pay to learn.
Learning Outcomes
Upon completing this program, participants will be able to:
- Use AI tools at every phase of the SDLC — not just code completion
- Compare and evaluate four major AI development ecosystems with hands-on evidence
- Generate requirements documents, wireframes, tests, security fixes, API docs, and CI/CD pipelines using AI tools
- Distinguish AI-powered tools from rule-based tools and articulate the difference to a team
- Build and ship a full-stack application with AI-assisted development practices
- Set up AI-powered production monitoring with anomaly detection
Program Schedule
50
weeks
2 hrs
every Saturday
- Format
- Instructor-led, hands-on labs
- Delivery
- Virtual (live, instructor-led)
- Duration
- 50 weeks (one session per week)
- Session
- Every Saturday, 2 hours
- Lab environment
- Personal laptop (all tools on free tiers) or GitHub Codespaces (pre-configured, zero setup)
- Languages
- Python 3.13 (backend) · TypeScript / React 19 (frontend)
- Takeaways
- All lab code, docs, pipelines, and reference guide
Session Time by Timezone
| Region | Timezone | Session Time |
|---|---|---|
| India | IST (UTC+5:30) | Saturday 7:00 PM – 9:00 PM |
| USA (East Coast) | EST (UTC-5) | Saturday 8:30 AM – 10:30 AM |
| UK / Europe | GMT (UTC+0) | Saturday 1:30 PM – 3:30 PM |
| UAE / Middle East | GST (UTC+4) | Saturday 5:30 PM – 7:30 PM |
| Singapore / E. Asia | SGT (UTC+8) | Saturday 9:30 PM – 11:30 PM |
Important Note on AI Tool Free Tiers
Free tiers may change. All AI tools used in this programme have verified free tiers as of February 2026. However, AI tool vendors may modify, reduce, or remove free tiers at any time without notice. If a vendor stops offering a free tier, the programme will substitute an alternate tool with a free tier where possible. If no suitable free alternative exists, students must be ready to purchase a basic subscription to continue practising.
Free Tier Quick Reference
| Tool | Free Limit | Restriction |
|---|---|---|
| Claude.ai | Generous daily limit | Rate-limited on free plan |
| Claude Code | Included with Claude.ai | Uses Claude.ai quota — may be tight for 3 UCs |
| GitHub Copilot | 2,000 completions + 50 chat/month | No trial expiry — permanent free tier |
| Cursor | 50 slow premium requests/month | Supplement with Codeium for completions |
| Gemini CLI | Free via Google account | Rate-limited |
| Codeium | Unlimited completions | No monthly cap |
| Fathom | Unlimited AI meeting notes | Storage limits |
| Otter.ai | 300 min/month transcription | Per-month cap |
| Gamma | ~10 AI-generated decks/month | Credit-based |
| v0 (Vercel) | Daily AI generation credits | Credit-based |
| Uizard | 3 projects free | Project cap |
| Figma AI | Starter plan (limited AI features) | Feature-gated |
| Framer AI | Free tier with branding | Branding on free |
| CodeRabbit | Free for public/OSS repos | OSS only |
| Qodo | Free individual plan | No team features |
| Snyk | Free for open source, 200 tests/month | Test-count limit |
| GitHub Advanced Security | Free for public repos | Public repos only |
| Semgrep | Free for open source | OSS rules |
| Sourcery | Free for open source | OSS only |
| Mintlify | Starter plan (limited pages) | Page count limit |
| GitBook | Free for personal/OSS | Public content |
| Swimm | Free for small teams | Team size limit |
| Canny | Free tier (limited posts) | Post count limit |
| Datadog | 5 hosts, 1-day retention | Host + retention limit |
Ready to Navigate the AI Tool Landscape?
Build real software. Learn four ecosystems. Ship with confidence.
Register / EnquireRathinam Trainers & Consultants Private Limited