The AI Native Dev - from Copilot today to AI Native Software Development tomorrow

Tessl

Welcome to The AI Native Developer, hosted by Guy Podjarny and Simon Maple. Join us as we explore and help shape the future of software development through the lens of AI. In this new paradigm of AI Native Software Development, we delve into how AI is transforming the way we build software, from tools and practices to the very structure of development teams.Our target audience includes developers and development leaders eager to stay ahead of the curve. If you're passionate about the future of software development and curious about how to leverage AI to build effective teams and groundbreaking software, this podcast is for you.Each week, we bring you insights into the latest AI tools and best practices, keeping you up-to-date with the cutting-edge advancements in the industry. Additionally, every two weeks, we present deep dives with experts and leaders in the AI and software development space, offering a glimpse into the future of AI development.Tune in to discover how AI will revolutionize your workflows, roles, and organizations. Get inspired by the latest tools and best practices, and prepare to be part of the next generation of software development.

  1. 4h ago ·  Bonus Video

    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 agent skill repository – Why skills have become the go-to way developers hand context to their coding agents – The internal incident at Snyk where a developer's skill exposed production credentials to an agent – How the Tessl and Snyk integration scans every skill and MCP server for risk before you install it – What's coming next with Snyk's new Evo product for governing coding agents at scale Chapters: 00:00:00 - Introduction 00:01:33 - Chris's role: AI security incubation at Snyk 00:02:16 - Snyk's roots as a developer-first security company 00:03:58 - New security challenges from AI coding agents 00:06:26 - Skills: the new way to give agents context 00:07:35 - Inside Snyk's ToxicSkills research: malware and prompt injection 00:11:35 - How developers can vet skills before installing them 00:14:38 - A real incident: exposed production credentials at Snyk 00:17:45 - Building a secure-by-default agent stack 00:23:35 - What's next: Snyk's new coding agent security product 🌐 Tessl: https://tessl.io 🔔 Subscribe for weekly episodes on AI-native development What's the riskiest skill you've installed without checking it first? Let us know in the comments. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    BONUS: Snyk Found Malware Inside AI Agent Skills

  2. 2d ago ·  Video

    From Living Room Hack to 30 AI Agents at Cyera

    An engineer builds an AI agent to manage his own life, decides an unrestricted "does everything" agent is too dangerous to trust, and ends up creating the internal agent platform that now runs 30 agents across his entire company.  Ori Shoshan, tech lead at Cyera, walks through the guardrails, citation system, and knowledge graph that turned "let the agent do anything" into "let the agent do exactly what it's supposed to, and nothing else." What we cover: – Why one engineer built his own AI agent in his living room, and how it grew into Cyera's internal agent platform – Whitelisting tools instead of blacklisting them, plus the "escape hatch" that keeps agents honest – Backing every claim with a citation and using a second model to catch hallucinations before they reach a human – Trading RAG for a knowledge graph the agent can walk like a wiki – Turning "use this platform" into "build your own agent" to drive adoption across an entire engineering org – Running agents on confidential data that can investigate everything but can only ever say what's been cleared Chapters: 00:00:00 - Introduction 00:02:04 - Meet Ori Shoshan and what Cyera does 00:06:50 - The living-room spark: why Ori built his own agent 00:11:09 - Whitelisting tools instead of blacklisting them 00:12:55 - Why every claim needs a citation 00:15:35 - Reducing hallucinations with clean-context verification 00:21:04 - Taking Borg to Slack: the first agents at work 00:25:33 - Why naming your agent drives adoption 00:39:53 - Knowledge graphs over RAG 00:52:00 - The AI Captains: scaling adoption with carrots, not sticks 🌐 Tessl: https://tessl.io 🔔 Subscribe for weekly episodes on AI-native development Have you built guardrails like this into your own agents? Let us know what's worked (or blown up) for you in the comments. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    From Living Room Hack to 30 AI Agents at Cyera

  3. Jul 14 ·  Video

    Patrick Debois Maps the Patterns of AI-Native Dev

    After DevOps, Patrick Debois has a new map. The godfather of DevOps returns to walk through his AI patterns research: how he tracks where AI-native development is heading by mining social signals instead of surveys, why the stack is settling into patterns worth learning, and why your AI budget problem is really an optimization problem. What we cover: – Inside the AI patterns site at Tessl.io/patterns and how it's auto-generated – The four layers of AI enablement: agent, team, platform, and organization – Solo, shared, and multiplayer modes: the compounding effect of shared context – Managing agent costs: budgets as a forcing function for optimization – Scaling adoption: find the success story, don't fight the skeptics – Hiring system thinkers instead of elegant coders Chapters: 00:00:00 - Introduction 00:02:28 - Why AI grips Patrick Debois 00:04:33 - Agent, team, platform and org enablement 00:06:36 - Is AI-native development maturing? 00:11:19 - Inside the AI patterns site 00:18:14 - Quality, security and the IDE as review interface 00:22:45 - Changing roles and harness engineering 00:26:32 - Hiring in the AI era 00:30:31 - Scaling adoption across the org 00:42:03 - Cost management and ROI 🌐 Tessl: https://tessl.io 🔔 Subscribe for weekly episodes on AI-native development Where is your organization on the maturity curve? Drop your take in the comments. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    Patrick Debois Maps the Patterns of AI-Native Dev

  4. Jul 7 ·  Video

    Inside Anthropic: How Claude Tag Is Changing Agentic Work

    Six people reacted to Boris's side-project Slack post. A year later, Claude Code is ubiquitous, and the company just launched its next evolution: Claude Tag, an AI teammate that lives in Slack. Lamis Mukta, Member of Technical Staff at Anthropic, joins Simon Maple to unpack how Claude Tag works, why Anthropic built it, and what it took internally to go from a scrappy side project to a company-wide habit. What we cover: – What Claude Tag actually is, and how it differs from Claude Code and Cowork – Why trust in AI agents is really a function of model capability, not just comfort – The internal "dogfooding" culture that shaped Claude Code and Claude Tag – How Anthropic secures multiplayer AI with agent identities and channel-level permissioning – Where Claude and Claude Tag show up outside of engineering at Anthropic – Dreaming: how Anthropic's managed agents continually improve their own memory Watch Lamis' talk from AI Native DevCon London 2026 here: https://youtu.be/tTcxVv8HHNw Chapters: 00:00:00 - Introduction 00:01:46 - Meet Lamis Mukta from Anthropic 00:02:56 - What is Claude Tag? 00:10:07 - From single-player to multiplayer agentic coding 00:15:50 - Trust, capability, and the METR chart 00:21:02 - How the industry is really using Claude Code 00:26:33 - The Claude Code origin story 00:33:47 - Agent identities and permissioning at scale 00:40:23 - Claude beyond engineering at Anthropic 00:48:16 - Dreaming and practical tips for rolling out Claude Tag 🌐 Tessl: https://tessl.io 🔔 Subscribe for weekly episodes on AI-native development What's the one thing your team would delegate to an AI teammate first? Let us know in the comments. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    Inside Anthropic: How Claude Tag Is Changing Agentic Work

  5. Jun 30 ·  Video

    The Tessl Agent: Build Your Software Factory on Autopilot

    What if the whole point of your AI agent was to eventually make itself redundant? Dru Knox, Head of Product at Tessl, introduces the Tessl agent — a new interface built not just for AI-assisted coding, but for building the software factory that keeps improving without constant human input. This is a conversation about loop engineering: how to set up automated feedback cycles so your agents get smarter, your code review gets tighter, and your team ships more without adding more toil. What we cover: – What the Tessl agent is and how it fits into the broader Tessl platform – Loop engineering: why building automated feedback loops is the right place to start – How the agent sets up and continuously improves agentic code review – Why optimising your AI agent costs is usually the wrong lever to pull – The case for open, modular software factories — and the risk of vendor lock-in – UX expectations in the AI era: why outcome-oriented interfaces are now the baseline 🌐 Tessl: https://tessl.io 🔔 Subscribe for weekly episodes on AI-native development What's your approach to building feedback loops into your agent workflows? Drop a comment — we'd love to hear how teams are thinking about this. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    The Tessl Agent: Build Your Software Factory on Autopilot

  6. Jun 25 ·  Video

    Why Agents Are Forcing Enterprises to Finally Fix Their Dev Process

    Enterprises are finally being forced to care about their software development lifecycle — not because anyone suddenly got disciplined, but because agents cost money and the waste is now visible. When it was humans, it was "Timmy's just lazy." Now it's a line item.  Simon Maple sat down with Patrick Debois (the godfather of DevOps, now DevRel at Tessl), Tammuz Dubnov (co-founder and CEO of Autonomy AI), and Daniel Jones (Head of Product at re:cinq) at AI Native DevCon London for a wide-ranging panel on AI enablement — who owns it, what's breaking, and what the organisations getting it right are actually doing differently.  What we cover:  – Who should own agentic coding adoption inside an enterprise, and why platform teams are already filling the vacuum  – The "Timmy's lazy" problem: why agent cost visibility is forcing process discipline that humans never got  – Why PR-based workflows are an anti-pattern inside enterprises once you're moving at agent speed  – The PUMP framework (Plan, merge, polish): how one team is shipping features with developers, PMs, and designers all opening PRs –  Rethinking what a "test" is in an agentic world — and why feedback loops matter more than first-pass correctness  – The biggest mistake enterprises are making right now: piecemeal adoption with no mandate and no shared tooling   🌐 Tessl: https://tessl.io  🔔 Subscribe for weekly episodes on AI-native development  What's your team's approach to AI enablement — central mandate or letting individuals find their own way? Drop it in the comments. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    Why Agents Are Forcing Enterprises to Finally Fix Their Dev Process

  7. Jun 23 ·  Bonus Video

    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. What we cover: – Why measuring token usage, code commits, and outputs will lead your team astray – How NearForm cut a 4,000-hour AML backlog to 20 minutes using agents – Harness engineering and evals as the developer skills that matter most in 2026 – Why change management — not tooling — is the missing ingredient for real AI ROI – How AutonomyAI is letting PMs and designers ship directly to production Chapters: 00:00:00 - Welcome to AI Native DevCon London 00:01:03 - Chris Baty: Outcomes Over Outputs 00:05:15 - Martin: How Tooling Changed Everything 00:07:21 - Ryan: Harnesses, Evals and Skills 00:08:50 - Manny Saka: Plan Before You Prompt 00:11:58 - Cian O Maidin, NearForm: Real AI ROI 00:15:21 - Snyk: Building Trust at Scale 00:17:01 - AutonomyAI: Shipping Without Engineering 00:21:35 - Tessl Agent: Harness Engineering 00:22:41 - Closing Thoughts 🌐 Tessl: https://tessl.io 🔔 Subscribe for weekly episodes on AI-native development Whether you're cautious or YOLOing it with AI — drop where you land in the comments. Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    BONUS: DevCon London: Real Talk on AI ROI, Harnesses & Evals

  8. Jun 16 ·  Video

    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 Firtman from codemia, and James Moss from Tessl.  What we cover:  – Why 83% of enterprises plan to deploy AI but only 29% feel ready to do so securely  – Prompt injection as a risk you have to accept — and how least privilege and sandboxing are your real defences  – The "agent experience" concept: why systems built for human eyes fail at machine scale  – Whether fundamentals like HTTP, semantic HTML, and accessibility still matter when agents do the heavy lifting  – How WebMCP lets websites expose tools directly to agents  — and why blocking them is like trying to turn off the sun Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh Ask us questions: podcast@tessl.io

    AI Security & the Agent-Ready Web: Experts Weigh In
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Welcome to The AI Native Developer, hosted by Guy Podjarny and Simon Maple. Join us as we explore and help shape the future of software development through the lens of AI. In this new paradigm of AI Native Software Development, we delve into how AI is transforming the way we build software, from tools and practices to the very structure of development teams.Our target audience includes developers and development leaders eager to stay ahead of the curve. If you're passionate about the future of software development and curious about how to leverage AI to build effective teams and groundbreaking software, this podcast is for you.Each week, we bring you insights into the latest AI tools and best practices, keeping you up-to-date with the cutting-edge advancements in the industry. Additionally, every two weeks, we present deep dives with experts and leaders in the AI and software development space, offering a glimpse into the future of AI development.Tune in to discover how AI will revolutionize your workflows, roles, and organizations. Get inspired by the latest tools and best practices, and prepare to be part of the next generation of software development.

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