EVENTS
Building AI Native Apps using Claude Code
A hands-on workshop focused on building and shipping production-ready AI applications using Claude Code, AI agents, and modern developer workflows.
EVENTS
A hands-on workshop focused on building and shipping production-ready AI applications using Claude Code, AI agents, and modern developer workflows.
✓
Live AI app builds from scratch
✓
Real implementation workflows
✓
Claude Code in production
✓
Multi-agent orchestration
✓
Prompt engineering at scale
✓
RAG pipelines & memory systems
✓
AI debugging & deployment
This workshop focused on execution rather than theory. Participants learned how modern AI-native products are being architected, deployed, and scaled using Claude Code and agent-based workflows.
• Designing applications where AI is the core layer
• Structuring scalable AI workflows
• Context management strategies
• Setting up Claude Code environments
• Rapid prototyping with AI
• Debugging and optimization workflows
• Agent orchestration patterns
• Tool calling and memory handling
• Workflow chaining between agents
• RAG implementation basics
• Embedding pipelines
• Vector database integrations
• AI application deployment strategies
• API integrations
• Handling reliability and latency
Several workflows were inspired by real-world AI automation and operational systems.
Startup founders
Product managers
AI engineers
Software developers
Automation consultants
Technical operators
Several workflows demonstrated were inspired by real-world AI automation and operational systems currently being adopted across industries.
120+
Attendees
Founders, developers, operators, and AI practitioners
12+
Live Demonstrations
AI agents, retrieval pipelines, and orchestration
10+
Practical Use Cases
Automation systems, copilots, internal tools
The following were built live during the workshop:
• AI support copilots
• Internal automation systems
• AI-native dashboards
• Retrieval-based assistants
• Agent-driven workflows
• AI coding environments
Watch the complete session covering AI-native architecture, Claude Code workflows, agent orchestration, retrieval systems, deployment strategies, and live implementation walkthroughs.
03:26
AI becomes far more useful when treated as a thinking partner, not just a tool for generating answers.
04:21
Better AI output starts with better context, including constraints, risks, scale and expected outcomes.
08:53
AI is moving from individual features to AI-native applications where AI drives the core product experience.
10:30
Start with a real business problem, then use AI to find and test a practical solution.
13:17
Turn an idea into a working product through small, controlled iterations instead of trying to build everything at once.
39:53
AI-generated code still needs human control, architectural understanding and rigorous testing.
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