education
Hosted by ali heydari moghaddam · education · EN-US
Code Conversations, is a podcast for software developers, engineers, and tech enthusiasts of all levels. Hosted by a seasoned developer with nearly 20 years of experience, each episode dives deep into the world of software development, exploring coding techniques, best practices, industry trends, and the stories behind the code. Whether you're a beginner or a pro, tune in to gain valuable insights, hear from industry experts, and join conversations that will help you stay ahead in the fast-evolving tech world.
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Contact path
Public web form
Booking probability
34%
Guest openness
Selective
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Signup to Generate a PitchCode Conversations, is a podcast for software developers, engineers, and tech enthusiasts of all levels. Hosted by a seasoned developer with nearly 20 years of experience, each episode dives deep into the world of software development, exploring coding techniques, best practices, industry trends, and the stories behind the code.
Recent episodes include "Shadow AI, Quantum & Deepfakes" (27 October 2026, 12 minutes), "AI Vulnerabilities Exposed" (20 October 2026, 19 minutes), and "How Developers Secure AI-Generated Code" (13 October 2026, 22 minutes).
Code Conversations publishes roughly weekly, with episodes averaging 20 minutes across 153 episodes.
Booking probability for Code Conversations is 34%, and the host is rated Selective on guests. Code Conversations requires a Pod Score of 80 or higher. Code Conversations's contact route on record: public web form.
The strongest fits for Code Conversations are IT Services & Software Development. Code Conversations has an education audience.
Code Conversations is an education podcast with 153 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #154
Cybersecurity is evolving fast . Jeff Crume breaks down trends like Shadow AI, polymorphic malware, and post-quantum cryptography, uncovering the risks shaping 2026. Learn how innovations like AI and quantum computing...
Episode #153
Are your AI models secure? Jeff Crume explains OWASP's Top 10 for LLMs, including risks like prompt injection and data leaks. Discover actionable tips like firewalls and access controls to safeguard your AI systems from...
Episode #152
AI can generate software faster than ever, but speed alone doesn't create trust. Jeff Crume explains how developers secure AI-generated code using shift-left security, dependency validation, continuous testing, and...
Episode #151
AI models alone aren’t what makes systems powerful. Martin Keen explains the difference between AI models and agentic harness components like tools, memory, and loops. Learn how generative AI agents work and what drives...
Episode #150
The agent hit a login page, panicked, reported success anyway, and the upvote never happened. Tejas Kumar's diagnosis: not a prompt problem. A harness problem.The demo builds a browser agent on GPT-3.5 Turbo...
Episode #149
Most developers have heard of prompt engineering. Many know about context engineering and RAG. But the real frontier in AI today is harness engineering — the structured environment that transforms an ordinary LLM into a...
Episode #148
Agent harnessing and harness engineering is a growing topic - and yet the term requires more clarification on what it is and why agentic systems evolved the way it did to where we are today.
Episode #147
Choosing a local LLM engine can make or break performance. Cedric Clyburn breaks down Llama.cpp versus vLLM for real‑world local inference. Learn which tool fits personal hardware, production scale, and AI agent...
Episode #146
AI promises speed, but where are the real gains? Cedric Clyburn breaks down why productivity stalls across the software development lifecycle despite faster coding. Learn how redesigning SDLC workflows with AI agents...
Episode #145
We've all been using AI chatbots, but AI agents can now move from knowing to doing. Cedric Clyburn breaks down how AI agents, LLMs, tools, and the agentic loop enable real autonomous workflows. Learn how automation...
Episode #144
As AI agents become more capable, the skills needed for AI jobs are shifting. Bri Kopecki breaks down the 7 skills you need to move from prompt engineering to full agent engineering, including system design, retrieval...
Episode #143
LangChain became immensely popular when it was launched in 2022, but how can it impact your development and application of AI models, Large Language Models (LLM) in particular. In this video Martin Keen shares an...
Episode #142
Get ready for a showdown between LangChain and LangGraph, two powerful frameworks for building applications with large language models (LLMs.) Master Inventor Martin Keen compares the two, taking a look at their unique...
Episode #141
Agentic AI and RAG are redefining how LLMs think and act . Live from TechXchange in Orlando, Martin Keen & Cedric Clyburn unpack how vector databases, data integration, and context engineering enable smarter AI systems...
Episode #140
How did search evolve into agentic AI? Sam Anthony explains RAG's evolution, from simple retrieval to adaptive systems powered by LLMs. Learn how semantic search, hybrid retrieval, and AI agents enable multi-step...
Episode #139
We're all using AI agents, but they still lack the procedural knowledge real work needs. Martin Keen explains how agent skills, LLMs, RAG, and MCP help agents follow workflows, automate tasks, and make smarter...
Episode #138
How do AI agents learn and take action? Live from TechXchange in Orlando, Melissa Hadley breaks down how MCP and RAG help large language models connect to data — one to retrieve knowledge, the other to execute tasks...
Episode #137
How do AI chatbots deliver better responses? Martin Keen explains RAG 🛠️, fine-tuning , and prompt engineering methods that extend knowledge, refine responses, and build domain expertise. Learn how these strategies...
Episode #136
Are your AI agents struggling to collaborate? 🤔 Martin Keen and Anna Gutowska reveal how advanced frameworks enable seamless agent communication and integration with tools. Discover how A2A connects agents and MCP...
Episode #135
Both CLI and MCP are ways for AI agents to interact with the world. Martin Keen explains how agents use CLI commands or MCP tools for tasks across real developer workflows. Learn how context windows, schemas, and...
Recent guests on Code Conversations. Study who booked and why before you pitch.
Founder of KEEN
CEO & President, {yourNEWS} Media Group, Inc.
co-author of Team Topologies
Microsoft Philanthropies
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