In this special predictions episode of ShipTalk, host Dewan Ahmed (Principal Developer Advocate, Harness) sits down with Nick Durkin, Field CTO at Harness, to unpack what’s actually coming in 2026—beyond the hype.

They explore whether we’re heading toward the first AI-caused production meltdown, how much trust we should place in AI "confidence," and why many teams may face a wave of AI-driven tech debt before they find balance. Nick shares why the future isn’t about more tools or more gates, but about policy in the pipeline, guardrails instead of roadblocks, and teams finally operating with a shared rulebook.

The conversation also dives into:

• Why DevSecOps may finally go mainstream in 2026
• How MLOps, agents, and prompts become first-class delivery artifacts
• The real risks behind prompt injection, model tampering, and shadow AI
• Whether AI agents become coworkers—or chaos
• What developer experience looks like when IDEs start to feel like chat windows
• How engineers and teams can stay employable and relevant in an AI-native world

This episode is pragmatic, optimistic, and grounded in real-world delivery experience—perfect for engineers, tech leads, architects, and executives navigating the next phase of AI-driven software delivery.

Listen in for a CTO’s clear-eyed predictions on AI, DevSecOps, and what it really takes to ship safely at speed in 2026.

In this episode of the ShipTalk Podcast, host Dewan Ahmed (Principal Developer Advocate at Harness) sits down with Evgeny Ilinykh (Founder of GuidedMind.ai and former Tesla Engineering Manager) to move past the AI hype and get into the engineering reality of Retrieval-Augmented Generation (RAG).

If your AI agents are hallucinating, the problem probably isn't your model—it’s your retrieval layer. Evgeny breaks down how to turn the "black box" of LLMs into a transparent, production-ready system that developers can actually trust.

What we cover:
- The Death of Deterministic Software: Moving from hardcoded paths to agentic AI logic.
- The "Dark Spots" of Vector Space: Why hallucinations are actually retrieval failures.
- Contextual Retrieval: Insights into how system-level context changes the game for accuracy.
- Scaling to Production: Solving the "dirty work" of messy PDFs, table parsing, and chunking.
- Standardizing AI Delivery: Will RAG become as common as CI/CD in the modern dev stack?

RESOURCES & LINKS:
1. Connect with our guest: https://www.linkedin.com/in/eilinykh/
2. Explore GuidedMind.ai: https://guidedmind.ai/
3. Read the Anthropic Research: https://www.anthropic.com/engineering/contextual-retrieval

In this episode of Ship Talk, host Dewan Ahmed (Principal Developer Advocate, Harness) sits down with Marina Petzel, Senior ML Engineer and AI Productivity Lead at Autodesk, to unpack what it actually looks like to ship AI into long-lived, production software.

Marina shares her journey from classic predictive analytics to computer vision and LLMs, and how her team brings intelligent features like Smart Blocks in AutoCAD from ideation to prototype to production on a tight yearly release cadence. She breaks down the often ignored parts of ML work: data pipelines, infrastructure, UX fit, and safety testing, and explains why “garbage in, garbage out” is a law of nature, not just a cliché.

They also dive into AI for developer productivity, multi-agent workflows, red-teaming and prompt safety, and how every engineer, regardless of seniority, can start using AI as a genuine skill multiplier. Marina closes with concrete advice for aspiring ML engineers: build more, read less, follow your curiosity, and share your work publicly so your visibility compounds over time.

Follow Marina's work: https://marina.petzel.tech
Connect with her: https://www.linkedin.com/in/marina-petzel

In this episode of ShipTalk, host Dewan Ahmed sits down with Adeeb Valiulla, a leader in developer productivity and engineering excellence at Harness, to explore how AI is transforming the very definition of software productivity.

Adeeb shares his journey from building early engineering metrics systems at Sensormatic to leading developer efficiency initiatives for Fortune 500 companies. Together, they unpack how AI is changing what it means to be “productive” — from measuring outcomes instead of outputs, to ensuring governance, trust, and quality at AI scale.

If you’ve ever wondered how frameworks like DORA, SPACE, and Flow adapt in an AI-driven world, or how to separate “AI-powered” hype from truly “AI-driven” value, this conversation is for you.

If you'd like to appear on one of our episodes, connect with Dewan.

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Adeeb's Work:

1. Comparative Analysis of Engineering Performance and Experience Frameworks: DORA, SPACE, HEART, and Beyond.
2. Developer Experience (DevEx) Measurement in the Age of AI.
3. Other Adeeb Valiulla publications.
4. Metrics That Matter podcast

Connect with Adeeb. 

Dewan Ahmed sits down with Fatih Bulut, AI Architect at Microsoft and former IBM Research Master Inventor, to separate hype from reality in AI for software delivery and cybersecurity. 

Fatih clarifies AI for security vs security for AI, walks through detection engineering as real software engineering, and explains proactive defense across an attack’s phases. He digs into the hard part of shipping: execution, product alignment, and tight feedback loops with customers. On code generation, he calls out failure modes like plausible but wrong outputs and hard coded shortcuts, and raises open questions about responsibility and auditability when AI writes code. 

The pair map AI across the SDLC, from pipeline generation and troubleshooting to vulnerability triage, then explore transformer limits with huge telemetry and why verifiable tasks such as code and math are near term wins. Fatih remains bullish on AI where outputs are testable and where context usage actually works at scale. 

Connect with Fatih on LinkedIn.

In this episode of ShipTalk, Chinmay Gaikwad sits down with Aravind Putrevu, Head of Developer Relations at CodeRabbit, and dives into the evolving landscape of AI in software development. Aravind shares insights on the influence of AI tools across the software development lifecycle, from coding and code reviews to automation and security. Aravind highlights the pivotal role of context engineering, the continued importance of human oversight in AI-driven workflows, and how teams can harness diverse AI tools for productivity. The discussion also explores Kubernetes' impact on AI workloads, best practices for developer enablement, and the latest trends in developer communities and learning resources.

In this kickoff episode of ShipTalk Season 4, Dewan sits down with Nathen Harvey, DORA Lead and Developer Advocate at Google Cloud, to explore how DevOps metrics and AI are transforming software delivery.

From his early days in DevOps to leading the DORA initiative, Nathen shares lessons from open-source communities, the role of culture, and how AI is reshaping documentation, incident response, and even coding itself. They also dig into the 2025 DORA Survey, discuss when organizations should start tracking metrics, and what the future holds for engineering leaders.

🎙️ Your voice matters. Take the 2025 DORA survey (closes on July 18, 2025).

🎟️ Visit Harness Booth at DevOpsDays Dallas 2025 — and use the promo code SHIPTALK to take 20% off your ticket.

In this special season 3 finale of ShipTalk, host Dewan Ahmed sits down with Puneet Saraswat, VP of Engineering at Harness, for an inspiring conversation about engineering leadership, system design, and the evolution of software delivery.

What You'll Learn:

Career Journey: Follow Puneet's path from discovering programming in a hot computer lab in North India to building Windows 7 kernel components at Microsoft, then transitioning to Azure's distributed systems, and finally joining Harness as one of their first 15 engineers.

Production Systems at Scale: Get insights into building reliable systems that serve millions of users, including lessons learned from Windows kernel development, Azure's global infrastructure challenges, and the evolution from monolithic to distributed architectures.

AI-Native Software Delivery: Explore how AI is transforming the software development lifecycle beyond just code generation - from automated pipeline debugging to intelligent remediation and best practice recommendations.

Engineering Leadership: Discover strategies for scaling engineering teams, balancing velocity with security and compliance, and transitioning from individual contributor to management roles.

Beyond the Code: Learn about Puneet's passion for indoor climbing 🧗‍♂️  and how lessons from physical challenges apply to navigating corporate growth and continuous learning.

Key Takeaways:

• Why fundamental computer science concepts matter more than ever in the age of rapid technological change
• How to build "cellular architectures" that prevent regional failures from cascading globally
• The importance of hiring generalists with strong analytical skills and growth mindsets
• Strategies for managing the balance between AI-accelerated development and production reliability
• Practical advice for engineers considering the transition to management

Perfect for software engineers, engineering managers, DevOps professionals, and anyone interested in the intersection of AI and software delivery platforms.

Guest Bio: Puneet Saraswat is VP of Engineering at Harness, where he leads platform engineering and SRE teams. With over 15 years of experience, he previously spent nearly a decade at Microsoft working on Windows kernel development and Azure infrastructure. He holds a degree from IIT Kanpur and is passionate about building scalable systems and developing engineering talent.

In this episode of the ShipTalk podcast, co-host Eric Minick talks with Lukas Gentele, co-founder and CEO of LoftLabs, about revolutionizing Kubernetes infrastructure through virtualization. Lukas shares his entrepreneurial journey starting from age 16 and explains how his company pivoted to create vcluster, a technology that virtualizes Kubernetes control planes similar to how VMs virtualize physical machines. They discuss the inefficiencies of running many small Kubernetes clusters versus optimizing resources with virtual clusters, the impact on developer workflows, and innovative approaches to CI/CD testing environments. Whether you're looking to optimize cloud costs or improve your development experience with Kubernetes, this episode offers practical insights into the future of container orchestration infrastructure.

In this episode, Dewan sits down (virtually) with Kyle Galbraith, co-founder of Depot, to explore his unique journey from motocross videographer to startup founder. Kyle shares how his early experiences in film and programming shaped his approach to solving technical problems, and why he co-founded Depot to tackle the challenge of slow build processes.

Kyle dives into the real impact of inefficient builds on developer productivity, team morale, and business innovation. He explains his leadership philosophy of "radical transparency and brutal honesty," and offers valuable insights on balancing rapid delivery with stability, the importance of documentation, and his vision for the future of developer tools in an AI-driven world.

Whether you're a developer frustrated with slow builds, a technical leader looking to improve team performance, or an aspiring entrepreneur, this conversation offers practical wisdom on building solutions that truly enhance developer experience.

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Follow Kyle on X: https://x.com/kylegalbraith
Connect with Kyle on LinkedIn: https://www.linkedin.com/in/kylegalbraith459/
Kyle's personal blog: https://blog.kylegalbraith.com/
Learn about Depot: https://depot.dev/blog