1:33:26Agentic coding and AI development
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
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- Category: MVP and product-market fit
Results for “llm”
60 videos1:33:26
16:42
22:59Tool selection and agent orchestration
Determinism in the AI Tech Stack (LLMs): Temperature, Seeds, and Tools
All About AI
5:35MVP scope and feature prioritizationTutorial
How to Build an AI MVP in Days (And Why Most Fail) | OfficeAIM News
Aimora
4:00Architecture, tech stack and project context
Full stack AI with Python: LLMs, RAG, Agents and LangGraph (Udemy)
Hitesh Choudhary
13:35Architecture, tech stack and project context
Building AI Agents and Workflows for Full-stack Apps with Convex Components
Convex
12:32Architecture, tech stack and project context
OpenAI vs. Deepseek vs. Qwen: Comparing Open Source LLM Architectures
Y Combinator
14:19Architecture, tech stack and project context
Mixture of Predictive Agents (MoPA) - The Wisdom of Many AI Agents Architecture
All About AI
10:11Architecture, tech stack and project contextDemo
Coaxing AI Agents to Write Full-stack Applications - Demo Night Talk
Convex
9:57Building SaaS and AI productsTutorial
How to Build AI SaaS From Scratch — And Get Paid Every Month
AI Master
26:14Building SaaS and AI productsTutorial
Build a Complete AI Agent with Lovable and Supabase (Full Tutorial)
Supabase
43:39
14:07Building SaaS and AI products
From MIT AI Lab to a 9-Figure Exit: How Mark Zides Builds AI Agents for Startup Growth
Supered
14:07Building SaaS and AI products
MIT to 9 Figures: How Mark Zides Is Rewriting Startup Growth With AI Agents
Mark Zides
12:25
7:46
26:00Building SaaS and AI products
Building Corrective RAG from scratch with open-source, local LLMs
LangChain
17:32Building SaaS and AI productsTutorial
Llama 3 8B: BIG Step for Local AI Agents! - Full Tutorial (Build Your Own Tools)
All About AI
21:30
7:44Building SaaS and AI productsTutorial
How to build with Langchain 10x easier | ⛓️ LangFlow & Flowise
AI Jason
5:17Building SaaS and AI products
From Software Engineer to AI Engineer: Build LLMs, RAG, MCP & AI Agents
Cerebro AI
20:16Building SaaS and AI productsExplainer
Building AI Agents: Chat Trigger, Memory, and System/User Messages Explained [Part 1]
n8n
5:13
47:55Sources and selection
An MVP needs to do a useful job well enough for someone to try it. Browse product architecture, feature scope, implementation, security and early usage measurement, alongside discussions of product-market fit. This section is for builders moving from a promising idea to a product they can put in front of users.
Indie Picks is organized from video metadata and uploader descriptions; it is not a full-video editorial review. HN Library retains community discussions. Sources and data notes