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PODCAST · technology

LangTalks

by Lee Twito, Gal Peretz

פודקסט טכני בעברית על בניית סוכנים ואפליקציות עם מודלי שפה.הצטרפו לקהילת הווטסאפ שלנו לדיונים ושאלות:https://chat.whatsapp.com/JKVFSNFMVQu8G1KWx1jqapניוזלטר עם סיכום דו-שבועי של כל הנושאים הכי חמים:www.langtalks.ai

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Episodes

  1. 74 - Jev

    A grounded look at TypeSafe AI's Jev classifier model: architecture, real use cases, and where it falls short.

  2. 73 - Harness Engineering

    How frontier teams make coding agents run autonomously for hours instead of minutes: AI-ready repos, TDD guardrails, ephemeral environments, tracing, and proof-of-work loops.

  3. 72 - Personal Assistant Agent

    Automating meetings end-to-end with agents - calendar tagging, prep briefings, learning loops, skill sharing, and self-closing feedback cycles.

  4. 71 - Claw Architectures | Gavriel Cohen (NanoClaw)

    A deep dive into the architecture and security model behind autonomous agent harnesses - isolation, credential gateways, and skill-based extensibility.

  5. 70 - Our Claude Code Tips

    A behind-the-scenes look at real agentic-coding workflows: visual planning, cloud-first agents, ephemeral PR environments, custom skills, and secrets management.

  6. 69 - Marketing for Agents | Nevo David (Postiz)

    How to market and sell to AI agents — discovery channels, CLI vs MCP trade-offs, authentication patterns, and the emerging agent-driven economy.

  7. 68 - AI-SDLC | Yonatan Maor (Clears.ai)

    A practical, stage-by-stage look at running your entire development lifecycle with AI agents: from PRD to coding to QA.

  8. 67 - FinOps for AI | Yizhar Gilboa (Finout)

    A practical look at managing AI budgets across coding agents, customer-facing models, and production inference

  9. 66 - Scaling LLMOps | Avi Lumelsky (Oligo)

    Two real-world use cases are covered: CVE Enrichment for open-source vulnerability detection and real-time Malicious Command Detection, along with practical tips on cost optimization, prompt caching, and open-source vs. commercial model trade-offs.

  10. 65 - AI SRE | Asaf Savich (Komodor)

    Site Reliability Engineer agent auto fixes production issues

  11. 64 - AI coding metrics | Liad Elidan (Milestone)

    Measure the actual impact of adopting AI across the R&D

  12. 63 - WAKE UP

    Singularity and AGI are around the corner.

  13. 62 - AI R&D Rollout | Iko Azoulay (‏Salt Security)

    How AI is used across the SDLC in a real R&D org - requirements, tech design, validation, testing, and code review. What worked, what didn’t, and where teams get stuck.

  14. 61 - Voice Agents | Shay Davidson (Lemonade)

    Building and testing voice agents with realtime API or chained approach (TTS->LLM->STT)

  15. 60 - Brain Memory | Dr. Meytar Zemer

    The Neuroscience behind the human brain and memories

  16. 59 - SLMs | Dr Elad Granot (Trullion)

    the production experience and considerations for fine-tuning a small language model for narrow tasks

  17. 58 - AWS re:Invent 2026 predictions | Shuki Cohen (AI21)

    Recap of the major announcements and innovations from the 2025 re:Invent conference, along with our predictions for where things are heading in 2026

  18. 57 - Memory | Itamar Friedman (Qodo)

    Short and long term memory mechanisms for agents

  19. 56 - n8n | Shay Shitrit

    Getting started with no-code agentic automations, popular use cases and tips

  20. 55 - Context Engineering

    The state of best practices for context engineering, focused on AI-coding as a leading use case

  21. 54 - Permissions | Or Weis (Permit.io)

    Enabling secured flexibility to your agents and MCP servers

  22. 53 - Search & Retrieval | Guy Itach (Fiverr)

    techniques to combine classic search with agentic retrieval

  23. 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

  24. 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

  25. 50 - A2A protocol

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

  26. 49 - Documents analysis

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

  27. 48 - Vibe coding | Sahar Carmel

    Tips for AI-driven coding

  28. 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

  29. 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

  30. 45 - AI PM: Spec for copilot feature

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

  31. 44 - MCP intro

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

  32. 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

  33. 42 - Text to SQL

    how to build a text to sql agent

  34. 41 - GraphRAG

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

  35. 40 - Advanced RAG | Nir Diamant

    advanced RAG techniques like RAPTOR and using Clues

  36. 39 - Code generation agents | Ziv Bakhajian

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

  37. 38 - OpenAI Realtime API

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

  38. 37 - Upgrading LLM | Dolev Pomeranz (Gong)

    How to migrate the llm provider in your AI app safely

  39. 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

  40. 35 - LLM app dev guide | Almog Baku

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

  41. 34 - Legal documents | Yaron Vazana (Darrow)

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

  42. 33 - LangGraph | Eden Marco

    Getting started with LangGraph, the most popular multi agent framework

  43. 32 - AI PM: No-code Tools | Galit Galperin

    Utilize no-code tools for fast POCs

  44. 31- Multi agents | Assaf Elovic ("GPT Researcher")

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

  45. 30 - Open Source Security | Avi Lumelsky (Oligo)

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

  46. 29 - AI PM: trust & evaluation | Shira Weinberg Harel

    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

  47. 28 - Advanced agents

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

  48. 27 - Latency optimization | Dor Ringel

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

  49. 26 - 12 RAG Pain Points and Proposed Solutions

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

  50. 25 - Reranking

    exploring the reranker component in the 2 stage retrieval system

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ABOUT THIS SHOW

פודקסט טכני בעברית על בניית סוכנים ואפליקציות עם מודלי שפה.הצטרפו לקהילת הווטסאפ שלנו לדיונים ושאלות:https://chat.whatsapp.com/JKVFSNFMVQu8G1KWx1jqapניוזלטר עם סיכום דו-שבועי של כל הנושאים הכי חמים:www.langtalks.ai

HOSTED BY

Lee Twito, Gal Peretz

CATEGORIES

technology how to

Frequently Asked Questions

How many episodes does LangTalks have?

LangTalks currently has 74 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is LangTalks about?

פודקסט טכני בעברית על בניית סוכנים ואפליקציות עם מודלי שפה.הצטרפו לקהילת הווטסאפ שלנו לדיונים ושאלות:https://chat.whatsapp.com/JKVFSNFMVQu8G1KWx1jqapניוזלטר עם סיכום דו-שבועי של כל הנושאים הכי חמים:www.langtalks.ai

How often does LangTalks release new episodes?

LangTalks has 74 episodes. Check the episode list to see recent publication dates and frequency.

Where can I listen to LangTalks?

You can listen to LangTalks on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts LangTalks?

LangTalks is created and hosted by Lee Twito, Gal Peretz.
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