A peer-driven network for developers, engineers, and technical professionals exploring how to design, code, and deploy real-world AI workflows and systems.
A technical community where we go deep on agentic workflows, context routing, and scalable LLM integration. We solve complex implementation challenges together and share reusable patterns that work in production environments.
Unlike theoretical discussions, we focus on practical, code-first approaches to building reliable AI systems that scale.
Our members share a commitment to technical excellence and collaborative problem-solving in the AI engineering space.
How We Build Together
AI Builders isn't just about individual learning—it's about collaborative engineering that produces better results than any of us could achieve alone.
Regular Builder Sessions
Deep dives into agentic workflows, context management, and LLM integration with live coding and technical discussions led by community experts.
Collaborative Projects
Form squads to design, test, and refine AI pipelines together, solving real-world implementation challenges with peer feedback.
Resource Hub
Access MCP server templates, live-tested workflows, and curated technical guides built and validated by the community.
Master the AI Builder's Stack
Our technical focus areas are specifically designed for engineers building production AI systems—not theoretical concepts, but actual implementation patterns.
Agentic Coding Patterns
Build multi-step, tool-using agents from scratch using Python + SDKs. Learn how to architect stateful agents that can reason, plan, and execute complex tasks reliably.
Context Management
Handle embeddings, chunking, retrieval, routing, and long-context control efficiently. Master techniques for optimizing context windows and managing token usage.
MCP Servers & Integration
Deploy modular control planes for multi-agent orchestration. Build systems that can coordinate multiple specialized agents working together on complex tasks.
LLM Selection & Usage
Choose models intelligently, manage cost/performance trade-offs, and route requests dynamically based on task requirements and budget constraints.
Workflow Orchestration
Combine tools, APIs, and services into production-ready AI pipelines that are reliable, maintainable, and scalable for real-world applications.
The Rhythm & The Rewards
Regular Rhythm
Live Builder Sessions (90 min)
Code walkthroughs, workflow demos, and peer-led experiments where we tackle real engineering challenges together.
Async Support & Feedback
Share code, debug together, and receive technical reviews between sessions from engineers facing similar challenges.
What You'll Get
Proven workflow patterns, ready to adapt to your specific use cases
Real examples of agentic + MCP-based architectures in production
Cost-efficient LLM integration strategies that balance performance and budget
Peer-reviewed technical demos showing what actually works
Access to a curated library of working code you can implement immediately
Build in Public, Grow with Feedback
Show Your Work. Solve Harder Problems.
Engineering in isolation limits what you can build. Our community thrives on open collaboration and technical feedback loops that accelerate everyone's progress.
Demo Your Work
Share your custom workflows and pipelines in a technical environment where others understand the challenges you're solving.
Get Expert Feedback
Receive specific, actionable technical feedback from peers who are building similar systems and facing similar constraints.
Learn From Implementation
See how others have solved similar problems through real-world implementations, not theoretical examples.
Contribute Code
Add your working solutions to shared repositories, building a library of battle-tested patterns the community can leverage.
More Than a Community — An Engineering Guild
AI Builders isn't a tutorial series — it's an engineering guild focused on practical implementation and collaborative advancement of AI systems.
Peer-Driven Problem Solving
Join engineers tackling similar systems-level challenges and leverage collective expertise to overcome technical hurdles faster than you could alone.
Co-Develop Advanced Workflows
Collaborate on refining agentic workflows that handle real-world edge cases and performance requirements beyond what's possible with off-the-shelf solutions.
Build Open Resources
Contribute to an evolving library of reusable pipelines, patterns, and architectural approaches that the entire community can implement and improve.
Advance Multi-Agent Architecture
Work together on MCP server integrations and multi-agent architectures that push the boundaries of what's possible with current AI technologies.