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 “llms”
35 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
10:11Architecture, tech stack and project contextDemo
Coaxing AI Agents to Write Full-stack Applications - Demo Night Talk
Convex
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
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
14:42Building SaaS and AI products
100% Local AI Speech to Speech with RAG - Low Latency | Mistral 7B, Faster Whisper ++
All About AI
12:42
7:57Building SaaS and AI productsExplainer
Multi Agent Systems Explained: How AI Agents & LLMs Work Together
IBM Technology
21:08
31:26
3:05:04Building SaaS and AI productsTutorial
How to Build & Sell AI Agents in 2026: Ultimate Beginner’s Guide
Liam Ottley
44:50Building SaaS and AI productsTutorial
2025 AI AGENT Masterclass - Learn How To Build ANYTHING With LLMs
All About AI
Sources 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