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Topics

Development

Featured in Development

Beyond Memory Safety: What Makes Rust Different – Lessons from Autonomous Robotics

This article explores that question through the lens of a real-world Rust project: a system responsible for controlling fleets of autonomous mobile robots. While Rust's memory safety is a strong foundation, its true power lies in the type system and ownership rules. The session will go beyond memory safety and explore ways to encode behavior and protocols directly into types.

All in development

Architecture & Design

Featured in Architecture & Design

Andres Almiray on How to Release Any Software to Any OS with JReleaser

Andres Almiray, a serial open-source contributor and the creator of JReleaser, discusses the project's state, noting that the tool is usable across any ecosystem, not just Java. He also touches on the Common House Foundation's mission.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to combine benchmarks, automated evaluation pipelines, and human review to measure reliability, task success, and multi-step agent behavior. The article also discusses the challenges of evaluating systems that plan, use tools, and operate across multiple interaction turns.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Image Processing for Automated Tests

Stefan Dirnstorfer discusses the shift from DOM-based testing to visual UI agents. He explains why LLMs often fail at precision tasks - like spotting one-pixel shifts or broken road networks - and shares how advanced image registration and "Chain-of-Thought" vision processing are essential for reliable QA. Learn why combining generative AI with classical algorithms is the future of automation.

All in culture-methods

DevOps

Featured in DevOps

Change as Metrics: Measuring System Reliability through Change Delivery Signals

System changes are the primary driver of production incidents, making change-related metrics essential reliability signals. A minimal metric set of Change Lead Time, Change Success Rate, and Incident Leakage Rate assesses delivery efficiency and reliability, supported by actionable technical metrics and an event-centric data warehouse for unified change observability.

All in devops

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Presentations

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Culture & Methods

Image Processing for Automated Tests

Stefan Dirnstorfer explains the evolution of image-based test automation, comparing GenAI agents like Claude 3.5/4.5 with traditional computer vision for resilient, internal-free frontend testing.

Stefan Dirnstorfer
on Mar 16, 2026

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51:17
AI, ML & Data Engineering

Four Patterns of AI Native Development

Patrick Debois explains the shift to AI-native development, focusing on how engineers are moving from producers to managers of intent while navigating the "chaos period" of 600+ emerging AI tools.

Patrick Debois
on Mar 09, 2026

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46:59
AI, ML & Data Engineering

Busting AI Myths and Embracing Realities in Privacy & Security

Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.

Katharine Jarmul
on Mar 02, 2026

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46:48
AI, ML & Data Engineering

AI Innovation in 2025 and beyond

Tejas Kumar discusses the evolution of AI from 1906 to 2026, explaining how agentic RAG and the Model Context Protocol (MCP) are shifting the industry from complex UIs to a prompt-driven future.

Tejas Kumar
on Feb 23, 2026

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47:54

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