The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
by Tessl
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.
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Brands & references
Total monthly reach
Estimated from 6 chart positions in 6 markets.
By chart position
- 🇩🇪DE · Technology#8330K to 100K
- 🇸🇪SE · Technology#1401K to 10K
- 🇫🇮FI · Technology#633K to 10K
- 🇦🇷AR · Technology#135500 to 3K
- 🇨🇴CO · Technology#185500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
11K to 39K🎙 Daily cadence·102 episodes·Last published today - Monthly Reach
Unique listeners across all episodes (30 days)
36K to 129K🇩🇪78%🇸🇪8%🇫🇮8%+3 more - Active Followers
Loyal subscribers who consistently listen
11K to 39K
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 24 epsHosts
Recent guests
Recent episodes
850 PRs a Week: How Tessl Runs a Software Factory
Sep 2, 2026
51m 17s
Lada Kesseler: I Trust AI Tests Less Than AI Code
Aug 25, 2026
45m 50s
Every Repo Is a Software Factory Now | Don Syme, GitHub
Aug 18, 2026
1h 04m 35s
The Background Check You Can't Run on an AI Agent
Aug 11, 2026
47m 42s
Datadog Deleted All Its AI Context. It Worked.
Aug 4, 2026
1h 01m 23s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 9/2/26 |  850 PRs a Week: How Tessl Runs a Software Factory | The software factory that put up 850 pull requests in a week, with 85 to 90% of them handled by agents end to end. Tessl's Head of Product Dru Knox on how it actually got built, why it started with skills rather than automation, and the two things nobody expects a factory to change. Guy Podjarny digs into the skills-to-loops-to-factory path, and what breaks when you skip a step. What we cover: – What a software factory actually is, and how it differs from a pile of disconnected automations –... | 51m 17s | ||||||
| 8/25/26 |  Lada Kesseler: I Trust AI Tests Less Than AI Code | Lada Kesseler's approach to loop engineering is brutally simple: give the agent one step, make it write the result to a file, then read it back and go again. She calls it a centrifuge. Spin fast enough and the stupid comes out. The Logic20/20 principal engineer has spent the last year and a half building the ground rules, skills and refinement loops that fight the defaults coding agents ship with, starting with an instruction to stop trying to please her. Along the way she explains why she t... | 45m 50s | ||||||
| 8/18/26 |  Every Repo Is a Software Factory Now | Don Syme, GitHub | Turning every repo into a software factory sounds like marketing until you see the machinery underneath. Don Syme, Principal Researcher at GitHub, breaks down continuous AI and GitHub Agentic Workflows, now in public preview. The short version: the agents are the easy part, the quality gates and guardrails are the work. Watch Don's AI DevCon Talk here: https://youtu.be/kbvqRWY-bUs What we cover: – What continuous AI is, and why it sits beside CI/CD rather than inside it – Why bounding the c... | 1h 04m 35s | ||||||
| 8/11/26 |  The Background Check You Can't Run on an AI Agent | The thing that makes an agent useful is the exact thing that makes it dangerous. Keycard co-founder Ian Livingstone breaks down why non-determinism is both the feature and the bug, and why identity, not model quality, is what really gates how much autonomy you can hand an agent. If you have ever clicked "always allow" without reading it, this one is about you. What we cover: – Why authentication was enough in the cloud era and stops being enough with agents – The background check you can't r... | 47m 42s | ||||||
| 8/4/26 |  Datadog Deleted All Its AI Context. It Worked. | Datadog's Language Foundations team deleted an entire folder of AI context files that had been carefully written and maintained for over a year, expecting a performance hit. Instead, their evals got better. Simon Boudrias, who runs Language Foundations at Datadog, walks Guy through what that taught his team about context rot, and the full journey of scaling AI coding agents to 4,000 engineers. What we cover: – How Datadog scaled Cursor and Claude Code to 4,000 engineers in under a year – Why... | 1h 01m 23s | ||||||
| 7/28/26 |  Inside the Dark Factory: AI That Ships Code Solo | At Tessl, 95% of the code shipped by their internal "Dark Factory" has never been looked at by a human, and the team still ships hundreds of pull requests a week, including through entire weekends. Rob Willoughby, who leads AI engineering at Tessl, joins Simon to open up the hood on how it actually works: the orchestrator, the verification layers, and the failures that forced the team to rebuild trust from scratch. What we cover: – How Tessl routes 65-70% of its own pull requests through an ... | 58m 38s | ||||||
| 7/23/26 |  BONUS: Snyk Found Malware Inside AI Agent Skills | One Snyk developer's AI skill quietly handed their coding agent production credentials, and the security team found out the hard way. Krzysztof Huszcza, who leads AI security incubation at Snyk, joins this special Tessl and Snyk live stream to unpack the ToxicSkills research that uncovered 76 malicious agent skills in the wild, and what it actually takes to run coding agents safely at scale. What we cover: – How Snyk's security team found 76 malicious skills hiding inside a popular open agen... | 32m 15s | ||||||
| 7/21/26 | AI agentssoftware development+4 | Ori Shoshan | Cyera | — | AI agentCyera+5 | — | 1h 06m 37s | ||
| 7/14/26 | AI-native developmentDevOps+3 | Patrick Debois | TesslAI patterns site | — | AI-native developmentDevOps+3 | — | 48m 12s | ||
| 7/7/26 | AI developmentClaude Tag+3 | Lamis Mukta | Claude TagClaude Code+1 | Slack | Claude TagAI teammate+5 | — | 58m 06s | ||
| 6/30/26 | AI agentssoftware development+3 | Dru Knox | Tessl | — | Tessl agentAI-assisted coding+3 | — | 53m 26s | ||
| 6/25/26 | software development lifecycleenterprise software+3 | Patrick DeboisTammuz Dubnov+1 | TesslAutonomy AI+1 | — | software developmentDevOps+3 | — | 1h 00m 44s | ||
| 6/23/26 | AI ROIharness engineering+3 | — | AI Native DevCon London | — | AIDevCon+5 | — | 24m 14s | ||
| 6/16/26 | AI SecurityWeb Development+5 | Joseph KatsioloudesLiran Tal+3 | GitHubSnyk+2 | — | AI SecurityWeb Development+5 | — | 1h 03m 30s | ||
| 6/9/26 | AI coding agentsHarness Engineering+3 | Ryan Lopopolo | OpenAI | — | AIcoding agents+5 | — | 56m 02s | ||
| 6/2/26 | AI in software developmentpull requests+3 | Nick Arcolano | Jellyfish | — | AI agentspull requests+3 | — | 48m 23s | ||
| 5/26/26 | AI securitysoftware development+3 | Guy Podjarny | SnykTessl | London | AI agentssecurity+5 | — | 40m 35s | ||
| 5/19/26 | AI coding agentssecurity risks+3 | Joe Holdcroft | — | — | AIcoding agents+3 | — | 41m 45s | ||
| 5/12/26 | AIAccelerated Inference+3 | Venkat Subramaniam | Arc of AI | — | Artificial IntelligenceAI+5 | — | 53m 19s | ||
| 5/5/26 | enterprise AIsoftware development+4 | Rod Johnson | Spring FrameworkEmbabel | — | enterprise AISpring Framework+5 | — | 57m 11s | ||
| 4/28/26 | AI-native developmentsoftware development+3 | Simon Maple | Google DeepMindOpenAI+2 | — | AIsoftware development+3 | — | 1h 06m 26s | ||
| 4/21/26 | AGIAI development+4 | Logan Kilpatrick | OpenAIGoogle DeepMind | — | AGIAI tools+5 | — | 38m 51s | ||
| 4/14/26 | AI Native DevelopmentSoftware Development Life Cycle+3 | Guy Podjarny | DatadogElevenLabs+1 | — | AI Native Devsoftware development+5 | — | 57m 06s | ||
| 4/7/26 | open source AIAI development+5 | Amanda Brock | LlamaQwen+2 | — | open sourceAI+7 | — | 40m 05s | ||
| 3/31/26 | Web DevelopmentAI Agents+3 | Maximiliano Firtman | Apple | — | Web MCPAI agents+5 | — | 1h 00m 58s | ||
Showing 25 of 124
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Chart history for The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
Peaked at #63 in Finland, currently #63 in Finland.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| Finland | — | #63 | #63 | — |
| Germany | — | #83 | #83 | — |
| AR | — | #135 | #135 | — |
| Sweden | — | #140 | #140 | — |
| CO | — | #185 | #185 | — |
| TH | — | #186 | #186 | — |
Chart Positions
6 placements across 6 markets.
Chart Positions
6 placements across 6 markets.