AI.SEA Community Wiki
The builder's
field manual.
Community-written guides, references, and resources for builders across Southeast Asia. Every page is authored by builders and reviewed before publishing.
How it's organized
Topics are grouped into sections. Open a topic to see every live article inside it. The full wiki lives in the dashboard area — no sidebar; you move from this overview into topics, then into individual pages.
Main topics
Deeptech dives
Where we look at what's happening at the forefront of tech.
Building a startup, from 0 to 1
A collection of notes and resources for founders to go from idea to first customer.
Web 3
All about web3 and crypto.
Industry and market research
Market and industrial research about problems to be solved.
AI Agents
Autonomous agents, and the tools and architecture to build them
Product
AI product design, UX patterns, and go-to-market.
AI/ML architecture and data science
All about how to architect AI and ML systems, and data processing methods.
Hardware / Edge
Edge inference, embedded ML, and on-device AI.
Research
Papers, methods, and applied research insights.
Recently updated
How does Fine-Tuning Actually Work?
A reference guide for builders — based on the AISEA Co-labs session
Cursor Composer 2.5: Targeted Feedback for Coding Agents
A few notes about how Composer 2 was trained and built, from official documentation
LoRA — Low-Rank Adaptation
A brief guide to LoRA
The Geometry of Embeddings
All about the geometry and linear algebra behind embeddings.
How Has LLM Memory And Retrieval Evolved?
What’s come after RAG, and what’s after that
MVP vs prototype vs demo
How to start a startup in 48 hours
Quantum algorithms - a very brief introduction
A very brief introduction to quantum algorithms.
Open to all builders
Built by builders, for builders.
Every page is community-written and admin-reviewed. Create an account to draft pages, suggest updates, and help the network learn together.