PurePerformance

Adam Tornhill, programmer and author of Your Code as a Crime Scene and founder of CodeScene, brings behavioral code analysis expertise. He discusses how legacy and low-quality code slow AI, measuring “AI-readiness” with Code Health, practical guardrails and refactoring patterns, and how testing and governance become critical when scaling agentic AI.

Benedict Evert, an AI engineer who builds prototypes and tools with large models, and Wolfgang Heider, a product manager crafting AI-native prototypes and agent workflows, discuss building working apps in minutes. They talk about agent-driven roles, preserving engineering fundamentals like testing and governance, and why delivered value, not code generation, will set products apart.

Why do we still struggle with resilience in 2026? Is it the growing complexity of systems, the pressure to ship fast, or a lack of education around resilient design? In this episode we welcome Adrian Hornsby from Resilium Labs to explore these questions and learn about chaos, complexity, and the importance of continuous learning!Adrian has learned his chaos engineering skills while working at AWS for many years. He shares insights from his upcoming book and his experience helping organizations embrace resilience as a continuous learning practice. We discuss:Why traditional chaos engineering assumptions break down when AI starts writing your code.The rise of AI-powered SRE agents—are they a blessing or a missed learning opportunity?Organizational challenges and the importance of tracking near misses.Links we discussedAdrians LinkedIn: https://www.linkedin.com/in/adhorn/Resilium Labs: https://www.resiliumlabs.com/Upcoming Book: https://leanpub.com/whywestillsuckatresilience

Diana Todea, Developer Experience Engineer at Victoria Metrics and CNCF Neurodiversity co-lead, shares her journey from newcomer to OpenTelemetry contributor. She talks about starting with docs and localization, finding beginner-friendly issues, using AI responsibly for drafts, and building motivation through community initiatives like Merge Forward.

From Systems Engineer in Aeronautics via many clouds to becoming an SRE in Observability! That's the path from our guest, Alexandra Franz who is a Lead Product Engineer in SRE at Dynatrace. Tune in and learn how their team plans ahead for expected high traffic around Black Friday, Cyber Monday or the Super Bowl. We discuss how regional traffic patterns and differences in available hardware get factored in for capacity management and cost control. We also learn why global cloud outages are stressful - but - how those incidents can also be the reward for a good SRE.Make sure to connect with Alexandra on LinkedIn: https://www.linkedin.com/in/alexandrafranz/

Jeff Blankenburg, developer-relations pro and creator of 31 Days of Vibe Coding, shares his vibe coding journey building CollectYourCards. He explains using GitHub issues as an AI backlog. He covers phases for interacting with AI, observability and tests to build trust, and safeguards for handling sensitive data.

How many people have you met that implemented distributed tracing in the early 2000s? Make it one more after you have tuned into our latest podcast with William Louth. William, who can't seem to escape the observability space even though he keeps trying, has a track record in the space. He is an innovator and tool builder and is currently reimagining intelligent systems by shifting the focus from data collection to meaning-making. In our conversation we learn about situational awareness and how systems should use symbols to show their current state by also taking into account everything they are aware of happening in their ecosystem.This podcast episode has been long overdue and opens a fascinating new world beyond metrics, logs and traces!Links discussedWilliams LinkedIn: https://www.linkedin.com/in/william-david-louth/Humainary Research: https://humainary.io/research/Humainary GitHub: https://github.com/humainary-ioServentis Signs: https://raw.githubusercontent.com/humainary-io/substrates-api-java/refs/heads/main/ext/serventis/SIGNS.md

It started with the prompt: "Create an Uber Clone"! Several iterations and some months later Abhi presents his lessons learned when vibing a Ride Share Platform for RoboTaxis at Cloud Native Days Austria!"Commit to one tool and go deep. Don't get distracted by all the options you have. Treat your agent like a human! Get better in expressing what you really want!", those are the many lessons learned in Abhi's journey applying the potential of the latest AI agents that are available for software engineers.Tune into our latest episode and understand what Abhi means when he says: Context is important! Give it Macro Context and do Micro Incremental Improvements!Links we discussedAbhi's LinkedIn: https://www.linkedin.com/in/abhimanyuselvan/Cloud Native Austria Talk: https://www.youtube.com/watch?v=VjMPHWjawxM&list=PLtLBTEzR4SqU9GwgWiaDt10-yOVIN0nzM&index=9Cursor AI: https://cursor.com/OpenSpec: https://openspec.dev/

Chaos Engineering is the practice to introduced controlled failures into a system with the goal to improve the overall resiliency! What started with "lets see what happens when we unplug that server" to "lets simulate network latency issues" or "lets kill critical pods and see if the system recovers gracefully" is now seeing new experiments being conducted that are identified by a new companion: AI In this episode we have invited Bartek Pisulak, Dir of Cloud Quality Engineering at Pegasystems, who has been educating quality engineers on AI-Augmented Chaos Testing in Practice. Tune in and learn about the how AI can improve efficiency in the 5 critical phases of a chaos experiment: Steady State, Hypothesis, Run Experiment, Verify, Improve!To learn more about the foundational principles make sure to watch some of the conference talks from Bartek listed below:Links discussedBartek's LinkedIn: https://www.linkedin.com/in/bart%C5%82omiej-pisulak-82b94036/Talk at Cloud Native Days Austria: https://www.youtube.com/watch?v=xUVCKNpMEz8&list=PLtLBTEzR4SqU9GwgWiaDt10-yOVIN0nzM&index=10Talk at Porto Tech Hub: https://www.youtube.com/watch?v=-ZuEaA2PoToKraken: https://github.com/krkn-chaos/krknChasoEater: https://github.com/ntt-dkiku/chaos-eater

There is only one successful way to adopt new technology, and that is transformational! Sounds like a high-level consulting pitch but our industry has a track record to validate this statement. Just look at the recent web or cloud-native transformations!Pini Reznik has been helping organizations along the current AI-Native transformational journey. And what a timing: He just published his book on From Cloud Native to AI-Native where he provides a pragmatic approach to leveraging AI from Pioneering to Gradually Scaling!Tune in and hear from Pini why he thinks that AI projects are not failing because of bad AI, but because they approaching the problem the old and wrong way!And, stay until the end to hear how it was to write a book about AI using AI!Links we discussedPini's LinkedIn: https://www.linkedin.com/in/pinireznik/Link to Book: https://re-cinq.com/bookOur previous episode: https://www.spreaker.com/episode/ai-native-the-next-revolution-after-cloud-native-with-pini-reznik--67692567Prompt Engineering Conference Talk: https://www.youtube.com/watch?v=W7z5XMnvYt8