
The Stack Overflow Podcast
by The Stack Overflow Podcast
Is this your podcast?Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 24 chart positions in 24 markets.
By chart position
- 🇩🇪DE · Technology#1865K to 30K
- 🇲🇽MX · Technology#2430K to 100K
- 🇮🇳IN · Technology#4730K to 100K
- 🇧🇷BR · Technology#1351K to 10K
- 🇰🇷KR · Technology#1581K to 10K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
41K to 146K🎙 Daily cadence·930 episodes·Last published yesterday - Monthly Reach
Unique listeners across all episodes (30 days)
135K to 486K🇲🇽21%🇮🇳21%🇮🇩21%+21 more - Active Followers
Loyal subscribers who consistently listen
41K to 146K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
—
* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 33 epsHosts
Recent guests
Recent episodes
The good ol’ days of building Java
Sep 1, 2026
Unknown duration
When you keep AI Lean, you keep AI correct
Aug 28, 2026
Unknown duration
Inside LinkedIn's cognitive memory agent for agentic personalization
Aug 25, 2026
Unknown duration
Get rid of your CAPTCHA, the future of the web is bots
Aug 21, 2026
Unknown duration
From PHP to team lead of agents: rethinking judgment, review, and data with Google's Andi Gutmans (Part 1)
Aug 21, 2026
Unknown duration
Social Links & Contact
Official channels & resources
Official Website
Login
RSS Feed
Login
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 9/1/26 | The good ol’ days of building Java | Ryan sits down with Tim Lindholm, an early contributor to the Java language at Sun Microsystems, to chat about what it was like building one of the most popular programming languages ever at its inception, why it was strategically important for the Java team to create a cross-platform ABI to compete with Windows NT, and how applets were initially just an interesting demo. Episode notes: Watch the new documentary by Cult.Repo on YouTube to learn more about the early history of Java and the people who built it.Connect with Tim Lindholm on LinkedIn.Shoutout to user gabuzo for winning a Populist badge for answering What is the standard method for generating a nonce in Python?.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 8/28/26 | When you keep AI Lean, you keep AI correct | Ryan chats with Leo de Moura, Senior Principal Applied Scientist at AWS and the creator of the Lean language, about proving correctness in AI agents with the Lean language, how automated reasoning complements probabilistic AI models, and the use of AI for continuous code optimization.Episode notes:Lean is a functional programming language and proof assistant that allows developers to write programs and verify their mathematical correctness within the exact same system.Connect with Leo on LinkedIn and check out his many badges on Stack Overflow.Congrats to Populist badge winner Peter Lawrey for winning the badge on their answer to Check two float/double values for exact equality.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 8/25/26 | Inside LinkedIn's cognitive memory agent for agentic personalization | Ryan is joined by Praveen Bodigutla, Principal AI Researcher at LinkedIn, to chat about the four-layer memory system his team built to give LinkedIn's hiring assistant a persistent, personalized state. Praveen explains why his team moved off GraphRAG in favor of a tree-structured memory for faster incremental updates and how they balance retrieval freshness, latency budgets, and access control at LinkedIn's scale.Connect with Praveen on LinkedIn.Congrats to Populist badge winner Luka Ganić, who answered SVG image as button in Flutter so well it outscored the accepted answer!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 8/21/26 | Get rid of your CAPTCHA, the future of the web is bots | See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 8/21/26 | From PHP to team lead of agents: rethinking judgment, review, and data with Google's Andi Gutmans (Part 1) | Andi Gutmans, head of Agentic Data Cloud at Google and co-creator of PHP, joins Leaders of Code to talk about why agentic development feels less like a break from the past and more like the next chapter of the same story. This is part one of a two-part conversation.In this episode, Eira May and Stack Overflow Director of Platform Engineering Peter O'Connor talk with Andi Gutmans about the throughline between democratizing web development with PHP and democratizing software development with agents today. Andi makes the case that every individual contributor is becoming “a team lead of agents” and walks through how that reshapes code review, interviewing, and the balance of human versus agent judgment. He also explains why he thinks the biggest bottleneck left isn't the models, but the challenge of getting an organization's data into a state where agents can actually reason over it.The discussion also:Covers how Google is changing its own interview process to evaluate how candidates reason with and guide agents, rather than how well they can hand-code a solution alone.Explores the "human in the loop, agent in the loop, agent on the loop" framework for deciding where review actually needs to happen — and why that's fundamentally a risk-management question, not a trust-in-AI question.Uses the Waymo safety-data-versus-perception gap as an analogy for why organizations (and individuals) sometimes resist agent autonomy even when the numbers favor it.Introduces Google's "borderless lakehouse" concept and the shift from human data stewardship to agent-driven ontology building.Notes:Connect with Andi Gutmans on LinkedIn.Connect with Peter O'Connor on LinkedIn.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 8/18/26 | Building an agentic SDLC with a QA engineering mindset | Ryan welcomes Suneet Malhotra, Senior Manager of Test Engineering at Motorola Solutions, to chat about building end-to-end agentic SDLC pipelines using MCPs, using Cohen’s kappa to evaluate multiple LLMs-as-judges, and how you can improve requirements by shifting QA left through a specification enrichment stage immediately after the design phase.Episode notes:You can learn more about Suneet’s five-agent SDLC (and see the companion code) on his GitHub. Read the papers discussed: Cross-Layer Observability for LLM-Assisted Test Automation: A Reference Architecture and Web Feasibility Study and Cross-Layer Observability for LLM-Assisted Test Automation — Reference Implementation and Evaluation Data (v1.5.2, JSS In-Practice). Connect with Suneet on LinkedIn and see more of his work on his website. Congrats to user Sanjay for winning a Great Question badge for asking What does it mean to fork on GitHub?.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 8/14/26 | Solving integration woes with a hackathon | Ryan welcomes Meryll Blanchet, Director of Engineering for Adobe Brand Visibility, to chat about Adobe’s recent acquisition of Semrush, how Adobe Brand Visibility was born from Semrush’s AI visibility product and Adobe’s LLM Optimizer, and how Adobe used a three-day internal hackathon instead of a large-scale infrastructure integration to quickly deliver value to customers. Episode notes: Adobe Brand Visibility is a GEO software that helps companies improve their AI visibility, citations, and share of voice. You can preview the new product here.Connect with Meryll on LinkedIn. Congratulations to user patti_jane, who won a Stellar Question badge for asking Setting PATH environment variable in macOS permanently.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 8/11/26 | Your tokenmaxxing is not valuemaxxing | Ryan is joined by Coder’s Rob Whiteley to chat about why tokenmaxxing isn’t proving real value and just triggering Goodhart’s Law, how release speed and PR merges can help you measure agentic outcomes with or without a human-in-the-loop, and what the democratization of skills means for junior developers and the talent pipeline. Episode notes:Coder is a self-hosted platform that lets you securely run cloud development environments and AI coding agents on your own internal infrastructure. Connect with Rob on LinkedIn.Today’s shoutout goes to an Unsung Hero badge winner, user Red.Wave!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 8/7/26 | How to be fearlessly AI native | Ryan welcomes McLaren Stanley, Senior Principal Engineer for Amazon Stores, to discuss what it actually takes to make teams AI native, why agentic engineering is shifting code bottlenecks downstream to testing and deployment, and why robust validation is essential to build trust and enable “fearless commits.”Episode notes:You can learn more about how Amazon’s frontier teams became AI native on the AWS blog. Connect with McLaren on LinkedIn.Congrats to user o11c for winning a Populist badge for answering Pythonic way to count the number of trailing zeros in base 2. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 8/4/26 | Your MVP doesn’t need a Kubernetes cluster | Ryan welcomes Anurag Goel, CEO and co-founder of Render, to discuss why most startups shouldn’t start by managing their Kubernetes and cloud infrastructure. They discuss how frustration with spinning up nodes at Stripes led him to build a company, a future where your application itself may allocate its own compute, and why DevOps jobs aren’t going anywhere. Episode notesRender calls itself the cloud for builders, intuitive infrastructure for scale. Connect with Anurag at [email protected]. Congrats to Populist badge winner Hovercraft Full Of Eels for bringing the knowledge to How can I disable System.out for speed in Java.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 7/31/26 | What happens to the internet when robots act like humans? | Ryan welcomes WPEngine CTO Ramadass Prabakar to the show to chat about what happens—and what we should do—when agents start acting like humans online, how our internet is evolving to serve both human and agentic experiences from the same interface, and what we can do to differentiate and protect human actions online from malicious bot activity. Episode notes: WP Engine hosts and manages over 5 million WordPress sites, combining enterprise-grade software, developer tools, and cutting-edge AI to support your website.Connect with Ramadass on LinkedIn or Twitter.Congrats to user Nama on winning a Famous Question badge for asking how to store the spinner values into database?See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 7/28/26 | You need reliable AI context for your site reliability | Ryan is joined by Asaf Savich, Komodor’s AI Engineering Group Manager, to discuss why modern reliability work requires navigating massive cross-service context, what good context engineering actually likes when AI is integrated into site reliability, and how the work of human SREs is shifting towards strategy and AI agent management.Episode notes: Komodor is an autonomous AI SRE platform designed to troubleshoot, manage, and optimize Kubernetes-based cloud-native infrastructure. Connect with Asaf on LinkedIn. Congrats to Populist badge winner joemaller, who won the badge for answering Is there a Python equivalent to the 'which' command.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 7/24/26 | Partnerships can keep open source sustainable | Ryan welcomes VoidZero’s Evan You and Cloudflare’s Dane Knecht back to the show to discuss Cloudflare’s recent acquisition of VoidZero and what it means for JavaScript development, how partnerships like theirs can help open-source projects stay maintained and sustainably monetized, and how Cloudflare’s distributed systems are helping to improve developer experience in Vite and beyond. Episode notes:VoidZero is now officially a part of Cloudflare. You can read more about the recent acquisition here. Connect with Evan on LinkedIn and X. Check out Evan’s previous episodes on the pod for a deep dive on the evolutions of Vite and Vue.js.Connect with Dane on LinkedIn and X. Listen to Dane’s previous episode of Leaders of Code to learn how Cloudflare is building a better internet. Congrats to user Luis Sieira, who won a Stellar Answer badge for answering How to get the difference between two arrays in JavaScript?.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 7/21/26 | full-stack developmententerprise software+3 | Umesh Unnikrishnan | Snowflake | — | full-stackdevelopment+5 | — | 25m 59s | ||
| 7/17/26 | developer advocacyagentic coding+4 | Cassidy Williams | GitHub CopilotGitHub Copilot app+2 | — | developer advocacyagentic coding+5 | — | 28m 05s | ||
| 7/14/26 | AI responsibilityhuman/AI workflow+3 | Sarah Bird | MicrosoftNIST | — | AIresponsibility+5 | — | 28m 57s | ||
| 7/10/26 | AI agentsenterprise technology+4 | Jay Parikh | MicrosoftGitHub+1 | — | AIMicrosoft+5 | — | 31m 05s | ||
| 7/8/26 | infrastructure-as-codeAI+3 | Rosemary Wang | Bob | — | infrastructure as codeAI deployment+3 | IBM | 30m 22s | ||
| 7/7/26 | AItechnology+3 | Saahil Jain | You.com | — | agent orchestrationAI models+3 | — | 31m 20s | ||
| 7/3/26 | AI applicationsevaluation metrics+3 | Benny Chen | Fireworks AI | — | AIevaluation+3 | — | 25m 36s | ||
| 7/2/26 | AI codingengineering frameworks+3 | Vivek Raghunathan | SnowflakeSnowflake Summit | — | AI design patternscoding agents+3 | — | 22m 53s | ||
| 6/30/26 | intent predictionbehavior forecasting+3 | Frank Portman | Yobifportman.com+2 | — | intent predictionLLM+5 | — | 29m 58s | ||
| 6/26/26 | AI coding agentsproduction failures+3 | Anish Agarwal | Traversal | — | AIproduction failures+3 | — | 30m 58s | ||
| 6/23/26 | Oh the places you’ll go with spatial data | Ryan is joined by Jeffrey Hightower, VP of Places Data at Microsoft, and Amy Rose, CTO of the Overture Maps Foundation, to chat about their partnership in bringing spatial data to the next generation of Microsoft tools; how Overture’s 50 organization members are creating open, standardized, and interoperable global spatial data sets; and their solutions to the innate challenges of trying to digitally map the world. Episode notes: The Overture Maps Foundation is a free, open, and collaborative spatial data platform creating reliable and interoperable map data infrastructure. Microsoft is a founding member and part of Overture’s Steering committee. Connect with Amy on LinkedIn.Connect with Jeffrey on LinkedIn. Congrats to user Cesar Canassa for winning a Populist badge for their answer to Slicing a dictionary.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
| 6/19/26 | You don’t understand DNS like you think you do | Ryan welcomes Cricket Liu, DNS expert and Chief Evangelist at Infoblox, to the show to talk all things DNS. They cover the evolution of one of the oldest DNS server implementations, BIND, and what the future holds for protected DNS configurations; the realities of security threats like DDoS and DNS spoofing; and why outages often trace back to a lack of understanding of DNS’s fundamental role. Episode notes:Infoblox is a cloud-managed network services platform for core networking, combining automated infrastructure management and real-time threat intelligence.You think this is a lot about DNS? Cricket wrote several books about it. Connect with Cricket on LinkedIn or email him at [email protected]. Congrats to user Johannes Schaub - litb for winning a Populist badge for their answer to How do i check if a file is a regular file?.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. | — | ||||||
Showing 25 of 978
Pitch Fit is a Pro feature
See how bookable this show is for guests, which brands already advertise, the per-episode ad value, and the best-fit guest and sponsor profile. The numbers are blurred on the free plan.
How readily this show books outside guests like you.
How proven this show is for host-read sponsorships.
For Guests
ProFor Advertisers
ProUpgrade to Pro to unlock guest cadence, sponsor categories, fit scores, and per-episode ad value for this show.
Chart history for The Stack Overflow Podcast
Peaked at #12 in ID, currently #12 in ID.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| ID | — | #12 | #12 | — |
| BE | — | #24 | #24 | — |
| Mexico | — | #24 | #24 | — |
| HU | — | #45 | #45 | — |
| India | — | #47 | #47 | — |
| CO | — | #79 | #79 | — |
| TW | — | #83 | #83 | — |
| VN | — | #84 | #84 | — |
| KE | — | #98 | #98 | — |
| IS | — | #106 | #106 | — |
| Finland | — | #110 | #110 | — |
| PE | — | #110 | #110 | — |
| AE | — | #129 | #129 | — |
| Norway | — | #132 | #132 | — |
| AR | — | #133 | #133 | — |
| Brazil | — | #135 | #135 | — |
| PL | — | #136 | #136 | — |
| PT | — | #139 | #139 | — |
| IL | — | #150 | #150 | — |
| CZ | — | #157 | #157 | — |
Chart Positions
24 placements across 24 markets.
Chart Positions
24 placements across 24 markets.