LangTalks

פודקסט טכני בעברית על בניית סוכנים ואפליקציות עם מודלי שפה. הצטרפו לקהילת הווטסאפ שלנו לדיונים ושאלות: https://chat.whatsapp.com/JKVFSNFMVQu8G1KWx1jqap ניוזלטר עם סיכום דו-שבועי של כל הנושאים הכי חמים: www.langtalks.ai

54 - Permissions | Or Weis (Permit.io)

Enabling secured flexibility to your agents and MCP servers

09-13
23:44

53 - Search & Retrieval | Guy Itach (Fiverr)

techniques to combine classic search with agentic retrieval

08-24
28:19

52 - Agents at scale | Adam Cohen Hillel

The story of building Suna - the open source alternative of Manus the generalist autonomous agent https://github.com/kortix-ai/suna

08-03
28:14

51 - Our AI-driven coding workflow | Oren Melamed

Sharing our workflow with Cursor, Claude Code, GitHub Copilot and others. Listed the useful MCPs and tools, how to measure efficiency gains, and our vision for the future of coding

07-20
30:58

50 - A2A protocol

Is this Agent2Agent new protocol by Google going to be the next MCP?

07-13
20:37

49 - Documents analysis

How to handle long docs like PDF and Docx effectively with LLMs

06-28
23:40

48 - Vibe coding | Sahar Carmel

Tips for AI-driven coding

06-07
30:12

47 - Tech stack for Agents

Python or JS? LangChain or Vanilla? In this episode we gave guidelines on important things to notice when picking a tech stack for new project or a company's platform

05-24
31:01

46 - Building coding multi-agent (LangTalks '25 conf)

Building SWE multi-agent with LangGraph: Zero to Hero | Lee & Gal (LangTalks GenAI 2025 Conference) Lecture video: https://www.youtube.com/watch?v=KroPK5DygWw Repo: https://github.com/langtalks/swe-agent

05-03
37:23

45 - AI PM: Spec for copilot feature

Example of product specification required from an AI PM for a new feature

04-19
29:55

44 - MCP intro

all you need to know about MCP and how to get started as a developer

03-31
19:57

43 - Building with GenAI-powered tools | Idan Benaun

this episode has 2 aspects - best practices to start a new product in 2025 and what tools can accelerate your process

03-01
33:05

42 - Text to SQL

how to build a text to sql agent

01-26
23:45

41 - GraphRAG

Deep dive on why GraphRAG approach was created and how it works

12-28
15:36

40 - Advanced RAG | Nir Diamant

advanced RAG techniques like RAPTOR and using Clues

11-24
27:20

39 - Code generation agents | Ziv Bakhajian

Cursor, RepoAgent, Aider, and some more coding agents - overview and interesting architectural concepts

10-19
25:13

38 - OpenAI Realtime API

Technical review of the new Realtime API introduced on the dev day

10-02
18:57

37 - Upgrading LLM | Dolev Pomeranz (Gong)

How to migrate the llm provider in your AI app safely

09-16
31:33

36 - MVP with open-source LLM | Yael Daihes (Anecdotes)

If you need to build an llm-app that uses an open-source llm, this episode is for you. Intermediate level

09-02
28:22

35 - LLM app dev guide | Almog Baku

end to end guide on how to get started and deploy to production your llm app

08-19
28:04

Recommend Channels