Best Coding Podcasts for Developers in 2026: 22 Shows Worth Your Time

Looking for coding podcasts worth your commute or coffee break? We grouped the best shows by topic and experience level, from AI engineering and backend to DevOps, frontend, and career growth, so you can quickly find the ones that match what you are learning or building right now.

1. AI, LLMs, and AI Engineering

Latent Space: The AI Engineer Podcast

A pragmatic podcast focused on AI engineering. It covers building multi-agent systems, deploying local LLMs, context window management, RAG, and AI infrastructure. For developers who want to write code around LLMs and master the modern AI engineering stack.

Also on Official website

Machine Learning Street Talk (MLST)

Deep academic breakdowns of research papers, internal transformer architectures, vector databases, and AI theory. For engineers who want to understand the math and mechanics under the hood rather than just calling APIs.

The Agentic Review (by Qodo)

A podcast focused on AI across the Software Development Life Cycle (SDLC). It addresses tough engineering questions: what happens to code quality when agents write it, and how to conduct AI code reviews effectively. For developers and Tech Leads integrating AI coding assistants into production workflows.

Also on Spotify

No Priors

Hosted by Sarah Guo and Elad Gil, this podcast features raw, high-level conversations with founders and researchers leading the AI revolution (OpenAI, Anthropic, Mistral, Scale AI). For developers, founders, and engineers looking for strategic insights on where AI technology and infrastructure are heading.

Gradient Dissent

Hosted by Lukas Biewald (Weights & Biases). It explores the practical side of machine learning: model training pipelines, MLOps, evaluation, and real-world deployment challenges. Who it’s for: ML Engineers, MLOps specialists, and Data Scientists.

Data Engineering Weekly Podcast (by Ankit Nayan)

Deep technical sessions on building large-scale data platforms, distributed systems, real-time analytics, and vector database internals. Who it’s for: Data Engineers and Backend Developers handling massive datasets.

Also on Spotify

2. For Beginners & Early-Career Developers

Developer Tea

Short, bite-sized episodes (10–15 minutes) designed to fit into a coffee break. It breaks down complex engineering concepts into plain language, covers developer mindsets, problem-solving techniques, and tackling impostor syndrome. Ideal for beginners (Juniors) and anyone currently learning to code.

Stack Overflow Podcast

Accessible conversations about software culture, foundational concepts, emerging tools, and tech career paths without overly dense jargon. Ideal for early-career developers looking for a clear orientation within the broader tech industry.

3. Backend, Languages & Architecture

Go Time

Hosted by the Go (Golang) community, covering microservice architecture, cloud-native systems, concurrent programming, and backend engineering. For backend developers, Go engineers, and anyone building high-throughput systems.

Also on Spotify

Data Engineering Podcast

Everything related to data pipelines, ETL processes, SQL/NoSQL databases, Snowflake, Kafka, and data preparation for AI models. For Data Engineers, Backend Developers, and Data Analysts.

JavaScript Jabber

Deep dives into the web ecosystem (JS, TypeScript, Node.js, and frameworks), ECMAScript standards, web security, and bundlers. For Web and Full-stack Developers.

Also on Spotify

4. Engineering Leadership & System Design

The Pragmatic Engineer (by Gergely Orosz)

Engineering culture inside Big Tech (Google, Meta, Uber) and high-growth startups. Covers System Design, performance evaluations, hiring processes, and architecture decisions. For Mid/Senior Engineers wanting to understand how world-class tech organizations operate.

Dev Interrupted

Engineering metrics, developer velocity, release pipeline optimizations, and building healthy engineering cultures. For Team Leads, Engineering Managers, and developers transitioning into leadership roles.

5. Systems, Security & DevOps

Darknet Diaries

What it’s about: Gripping, investigative storytelling about cybersecurity, red teaming, hacktivism, malware analysis, and data breaches. For anyone interested in security, DevOps, or system vulnerabilities (explained like a true-crime documentary).

Also on Spotify

The Kubernetes Podcast by Google

Weekly news, deep dives, and expert interviews around Kubernetes, cloud-native architectures, containerization, and service meshes. For DevOps engineers, Site Reliability Engineers (SREs), and Cloud Architects.

Ship It! (by Changelog)

All about getting code from local computers to production safely and quickly: CI/CD, release engineering, platform engineering, and infrastructure-as-code. For Backend developers, SREs, and Platform Engineers.

6. Frontend & Mobile Engineering

Front End Happy Hour

A panel of Principal/Senior Engineers from companies like Netflix, Twitch, and Atlassian discussing frontend frameworks, web performance, CSS, and architecture over drinks.

React Round Up

Dedicated to the React ecosystem: Next.js, React Native, state management, server components, and modern UI architectures.

Also on Spotify

Android Central / Fragmented Classic

Tactical discussions on Kotlin, mobile app architecture, offline-first design, and native performance.

Also on Spotify

7. Software Craftsmanship & Career Growth

Coding Blocks

Covers fundamental design patterns, clean code principles, database design, and software architecture books (like Designing Data-Intensive Applications). Ideally for Mid-level engineers wanting to solidify their computer science foundations.

The Hanselminutes Podcast

Hosted by Scott Hanselman (Microsoft). Fresh technology discussions covering web, open source, gadgets, accessibility, and tech culture. For all developers looking for broad, inspiring tech perspectives.

Software Engineering Radio (SE-Radio)

Targeted at professional software developers. Educational episodes covering specific technical topics (e.g., Raft consensus, WebAssembly, GraphQL internals). For Mid to Senior engineers wanting targeted, educational deep dives.

Podcast Comparison Table