LangTalks

Site Reliability Engineer agent auto fixes production issues

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

Singularity and AGI are around the corner.

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.

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

The Neuroscience behind the human brain and memories

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

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

Short and long term memory mechanisms for agents

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

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

Enabling secured flexibility to your agents and MCP servers

techniques to combine classic search with agentic retrieval

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

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

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

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

Tips for AI-driven coding

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

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