The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
by Tessl
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Total monthly reach
Estimated from 4 chart positions in 4 markets.
By chart position
- 🇮🇳IN · Technology#1931K to 10K
- 🇳🇿NZ · Technology#132500 to 3K
- 🇮🇸IS · Technology#156500 to 3K
- 🇩🇰DK · Technology#178500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
750 to 5.7K🎙 Daily cadence·102 episodes·Last published yesterday - Monthly Reach
Unique listeners across all episodes (30 days)
2.5K to 19K🇮🇳53%🇳🇿16%🇮🇸16%+1 more - Active Followers
Loyal subscribers who consistently listen
1K to 7.6K
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 17 epsHosts
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Recent episodes
BONUS: DevCon London: Real Talk on AI ROI, Harnesses & Evals
Jun 23, 2026
24m 14s
AI Security & the Agent-Ready Web: Experts Weigh In
Jun 16, 2026
1h 03m 30s
Ryan Lopopolo: OpenAI's Framework for Shipping Code at 70 PRs/Week
Jun 9, 2026
56m 02s
Why Developers Hit a Wall at 4 AI Agents
Jun 2, 2026
48m 23s
Don't Secure the Code. Secure the Coder.
May 26, 2026
40m 35s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/23/26 |  BONUS: DevCon London: Real Talk on AI ROI, Harnesses & Evals | From the expo floor of AI Native DevCon London, Simon Maple went straight to the developers — speakers, attendees, and sponsors — to ask what's actually working with AI in 2026. The verdict? Outcomes beat outputs every time, 4,000-hour workloads are collapsing to 20 minutes, and the real bottleneck isn't code. This is a conference floor walkthrough: honest, unscripted takes on harness engineering, evals, AI adoption mindsets, and the change management challenge that nobody talks about enough... | 24m 14s | ||||||
| 6/16/26 |  AI Security & the Agent-Ready Web: Experts Weigh In | What does it mean to build securely when agents can negotiate their own guardrails? And what happens to the web — CLIs, frameworks, even the browser itself — when the primary user is no longer human? At AI Native DevCon London, Simon Maple sat down with two panels of experts to find out. First: a security roundtable with Joseph Katsioloudes from GitHub, Liran Tal from Snyk, and John Groetzinger from Cisco. Then: a web AI conversation with Dana Lawson from Netlify, Maximiliano Firt... | 1h 03m 30s | ||||||
| 6/9/26 |  Ryan Lopopolo: OpenAI's Framework for Shipping Code at 70 PRs/Week✨ | AI coding agentsHarness Engineering+3 | Ryan Lopopolo | OpenAI | — | AIcoding agents+5 | — | 56m 02s | |
| 6/2/26 |  Why Developers Hit a Wall at 4 AI Agents✨ | AI in software developmentpull requests+3 | Nick Arcolano | Jellyfish | — | AI agentspull requests+3 | — | 48m 23s | |
| 5/26/26 |  Don't Secure the Code. Secure the Coder.✨ | AI securitysoftware development+3 | Guy Podjarny | SnykTessl | London | AI agentssecurity+5 | — | 40m 35s | |
| 5/19/26 |  The Hidden Security Risks of AI Coding Agents✨ | AI coding agentssecurity risks+3 | Joe Holdcroft | — | — | AIcoding agents+3 | — | 41m 45s | |
| 5/12/26 |  "AI Doesn't Stand for Artificial Intelligence" — Venkat Subramaniam's Take Will Change How You Think About It✨ | AIAccelerated Inference+3 | Venkat Subramaniam | Arc of AI | — | Artificial IntelligenceAI+5 | — | 53m 19s | |
| 5/5/26 |  The Creator of Spring Thinks You Can't Code Serious Software With AI✨ | enterprise AIsoftware development+4 | Rod Johnson | Spring FrameworkEmbabel | — | enterprise AISpring Framework+5 | — | 57m 11s | |
| 4/28/26 |  What OpenAI, Stripe & ElevenLabs Devs Do Differently Now | AI Native Dev✨ | AI-native developmentsoftware development+3 | Simon Maple | Google DeepMindOpenAI+2 | — | AIsoftware development+3 | — | 1h 06m 26s | |
| 4/21/26 |  Logan Kilpatrick on Who Ships AGI, DeepMind and the Problem With More Software✨ | AGIAI development+4 | Logan Kilpatrick | OpenAIGoogle DeepMind | — | AGIAI tools+5 | — | 38m 51s | |
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| 4/14/26 |  Everything 100 Episodes Revealed About AI Native Dev✨ | AI Native DevelopmentSoftware Development Life Cycle+3 | Guy Podjarny | DatadogElevenLabs+1 | — | AI Native Devsoftware development+5 | — | 57m 06s | |
| 4/7/26 |  How DeepSeek leveraged Qwen and Llama to build its model in $5M✨ | open source AIAI development+5 | Amanda Brock | LlamaQwen+2 | — | open sourceAI+7 | — | 40m 05s | |
| 3/31/26 |  Why Every Developer needs to know about WebMCP Now✨ | Web DevelopmentAI Agents+3 | Maximiliano Firtman | Apple | — | Web MCPAI agents+5 | — | 1h 00m 58s | |
| 3/24/26 |  Stop Maintaining Your Code. Start Replacing It✨ | Phoenix Architecturesoftware development+3 | Chad Fowler | Blue Yard CapitalWunderlist | — | Phoenix Architecturecode maintenance+3 | — | 1h 02m 11s | |
| 3/17/26 |  We Scanned 3,984 Skills — 1 in 7 Can Hack Your Machine✨ | security vulnerabilitiesdeveloper skills+3 | Brian Vermeer | Snyk | — | security riskdeveloper skills+3 | — | 35m 17s | |
| 3/10/26 |  The Greatest Time to Build a Startup (The AI-Native Advantage)✨ | AI developmentstartup building+3 | Daniel Jones | re:cinq | — | AI-nativestartup+3 | — | 1h 01m 57s | |
| 3/3/26 |  Why Your Agent Needs Memory, Not Just Context✨ | agent memoryAI development+3 | Richmond Alake | Oracle | — | AI agentsmemory+5 | — | 44m 24s | |
| 2/25/26 |  Cisco Principal Engineer's Fix for AI Code Security✨ | AI code securityvulnerable code+3 | John Groetzinger | CodeGuardCisco | — | AI coding agentcode security+5 | — | 34m 10s | |
| 2/17/26 |  Why Context Beats Every Prompt You'll Ever Write✨ | context managementagentic development+3 | Guy PodjarnySimon Maple | — | — | contextprompts+3 | — | 31m 17s | |
| 2/10/26 |  From IBM Acquisition to AI-Native Observability | Dash0 CEO | "Charts are good for users, not good for agents. Agents look at the underlying data and do deep analysis." Mirko Novakovic built Instana, sold it to IBM, and now he's building Dash0, rethinking observability for agents, not humans. In conversation with Guy Podjarny, he explains: • why OpenTelemetry turned out to be perfect for AI • how UX changes when agents are your primary users • why interactive collaboration beats static chat outputs • the survival question for observability vendors in ... | 56m 31s | ||||||
| 2/3/26 |  The End of Fragmented Agent Context | One skill took coding success from 28% to 71%. Another made things worse. Guy Podjarny and Simon Maple tested 1000+ agent skills and reveal which ones actually work, which hurt performance, and why anecdotal evidence isn't enough anymore. Tessl Skills Registry is the first package manager for agent skills with built-in evaluations, versioning, and lifecycle management. Explore tested skills and see real performance data: https://tessl.io/registry On the docket: • Claude roasted Anthropic's... | 44m 49s | ||||||
| 1/27/26 |  The Developer Skills That Will Actually Survive AI | “You have to prioritize between the thing you want to do and the thing that actually is driving the business, that’s what really big companies are fighting every single day.” As former CEO of GitHub and now a startup founder again, Thomas Dohmke brings a rare, inside-out perspective on innovation across both worlds. In conversation with Guy Podjarny, he explains: • why startups and incumbents fight in different weight classes • why humans shouldn’t sit in every feedback loop as agents scale... | 56m 39s | ||||||
| 1/20/26 |  How Too Much Information Destroys Agent Performance | Most AI agents fail because you're using them wrong. Here’s what actually works in production. In this episode, Simon Maple sits down with Itamar Friedman (CEO of Qodo) and Robert Brennan (CEO of OpenHands) at QCon AI. They pull back the curtain on why agents hallucinate, provide inconsistent answers, and ship low-quality code. On the docket: • Why a third of developer-reported AI output is incorrect • Why you must separate creative coding agents from structured review agents • How ex... | 20m 53s | ||||||
| 1/13/26 |  Intelligence ≠ Knowledge: Why Context Beats Bigger Models | In this special milestone episode, Simon Maple and Guy Podjarny celebrate 1 million views by looking back at the chaos of 2025 and forecasting the high-stakes reality of 2026. On the docket: • Why appearing on this show has become a leading indicator for getting acquired or raising billions (and whether Simon should start charging a 2% carry). • The end of prompt engineering and the rise of context as the ultimate competitive advantage. • Our boldest 2026 predictions, including open models t... | 1h 12m 28s | ||||||
| 1/6/26 |  What AI Engineering Looks Like at Meta, Coinbase, ServiceTitan and ThoughtWorks | What does it take to make AI work inside engineering teams? This high-stakes compilation episode with Ian Thomas (Meta), Wesley Reisz (ThoughtWorks), Sepehr Khosravi (Coinbase), and David Stein (ServiceTitan) goes inside the engineering rooms of the world's most sophisticated tech organisations to uncover how they're moving past AI hype into AI-native production. On the docket: • How Meta achieved 80% weekly AI adoption through grassroots community building instead of top-down mandates • Wh... | 1h 13m 11s | ||||||
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Chart Positions
4 placements across 4 markets.
Chart Positions
4 placements across 4 markets.