הפודקאסטים הטובים ביותר ב-Coding (2025)

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

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50 - A2A protocol 20:37

Play Pause

4M ago20:37

20:37

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

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49 - Documents analysis 23:40

4M ago23:40

23:40

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

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48 - Vibe coding | Sahar Carmel 30:12

5M ago30:12

30:12

Tips for AI-driven coding

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47 - Tech stack for Agents 31:01

6M ago31:01

31:01

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

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46 - Building coding multi-agent (LangTalks '25 conf) 37:23

6M ago37:23

37:23

Building SWE multi-agent with LangGraph: Zero to Hero | Lee & Gal (LangTalks GenAI 2025 Conference)Lecture video:https://www.youtube.com/watch?v=KroPK5DygWwRepo:https://github.com/langtalks/swe-agent

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45 - AI PM: Spec for copilot feature 29:55

7M ago29:55

29:55

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

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44 - MCP intro 19:57

7M ago19:57

19:57

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

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43 - Building with GenAI-powered tools | Idan Benaun 33:05

8M ago33:05

33:05

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

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42 - Text to SQL 23:45

9M ago23:45

23:45

how to build a text to sql agent

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41 - GraphRAG 15:36

10M ago15:36

15:36

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

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40 - Advanced RAG | Nir Diamant 27:20

12M ago27:20

27:20

advanced RAG techniques like RAPTOR and using Clues

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39 - Code generation agents | Ziv Bakhajian 25:13

1y ago25:13

25:13

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

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38 - OpenAI Realtime API 18:57

1y ago18:57

18:57

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

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37 - Upgrading LLM | Dolev Pomeranz (Gong) 31:33

1y ago31:33

31:33

How to migrate the llm provider in your AI app safely

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36 - MVP with open-source LLM | Yael Daihes (Anecdotes) 28:22

1y ago28:22

28:22

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

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35 - LLM app dev guide | Almog Baku 28:04

1y ago28:04

28:04

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

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34 - Legal documents | Yaron Vazana (Darrow) 26:25

1+ y ago26:25

26:25

Build LLM-app with legal documents that have many references and domain verbiage

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33 - LangGraph | Eden Marco 27:09

1+ y ago27:09

27:09

Getting started with LangGraph, the most popular multi agent framework

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32 - AI PM: No-code Tools | Galit Galperin 28:44

1+ y ago28:44

28:44

Utilize no-code tools for fast POCs

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31- Multi agents | Assaf Elovic ("GPT Researcher") 27:31

1+ y ago27:31

27:31

Review of why and how to build a multi-agent system. Assaf is Head of R&D @ Wix and GPT-researcher open source creator.

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30 - Open Source Security | Avi Lumelsky (Oligo) 27:52

1+ y ago27:52

27:52

everything about adopting open source code and models for your llm app

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29 - AI PM: trust & evaluation | Shira Weinberg Harel 28:12

1+ y ago28:12

28:12

build trust with users and stakeholders - transparency and explainability, reliability and consistency (how to fail safely), automation vs user control.how to evaluate with uncertainty, prompt engineering, effective bug reports

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28 - Advanced agents 29:34

1+ y ago29:34

29:34

examples and practices of advanced agents, and use of LangGraph for effective tool usage by agents

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27 - Latency optimization | Dor Ringel 27:26

1+ y ago27:26

27:26

how to solve latency issues with minimal compromise on quality and cost

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26 - 12 RAG Pain Points and Proposed Solutions 30:40

1+ y ago30:40

30:40

The 12 most common challenges around building an effective RAG pipeline and the best practices for solutions

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25 - Reranking 24:53

1+ y ago24:53

24:53

exploring the reranker component in the 2 stage retrieval system

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Decoding ChatGPT, Transformers, Vector DB, RAG and more, Roy Miara Pinecone 25:02

1+ y ago25:02

25:02

פרק עשיר במידע שמביא לכם פירוט מרתק כיצד מערכות צ'אט כמו ChatGPT פועלות, ומשיגות את היעדים שלהן באמצעות טכנולוגיות מתקדמות כמו Transformers, Vector DB, ו-RAG.האורח היום רועי מיארה מPinecone.- Follow the Podcast on Facebook, on Instagram or LinkedIn.- Want More from Roy? check his LinkedIn. - Pinecone careersEpisode Subjets: - Attention is all you n…