AI agents have shown remarkable potential to function as persistent digital assistants that are capable of monitoring data, managing communications, and taking action autonomously over long periods. OpenClaw was one of the first serious attempts to fulfill that vision, connecting frontier coding agents to messaging platforms like Slack and WhatsApp and letting them run continuously in the background. However, OpenClaw largely set aside questions of security to pursue that vision, leaving credentials exposed in the agent’s environment and giving agents broad access to data and services far beyond what any given task required. NanoClaw is an open source project that takes a zero trust approach to agent orchestration. Rather than relying on instructions to constrain agent behavior, it isolates each agent in its own Docker container, keeps credentials entirely outside the agent’s environment, and enforces human-in-the-loop approval for sensitive actions. Gavriel Cohen is the founder of NanoClaw and he joins Kevin Ball to discuss the security architecture behind NanoClaw, how the agent sandbox and proxy model work in practice, how agents communicate with each other and with the host orchestration process, how the project approaches context window management and long-lived agent sessions, and more. Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.     Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post NanoClaw and the Rise of Personal AI Agents appeared first on Software Engineering Daily.

AI agents have transformed how software gets written, but the operational side of running software in production has not yet experienced a similar revolution. The same teams responsible for keeping systems healthy, investigating incidents, and managing reliability are still doing much of that work manually. Mezmo is a Production AI company that makes autonomous operations fast, efficient, and safe. Their open source project, AURA, is a declarative agent framework specifically designed for SRE and platform engineering workflows. It takes a Kubernetes-inspired approach where teams define what they want agents to do rather than scripting every step of how to do it. Andre Elizondo is the head of product at Mezmo, and he has a background in systems engineering, SRE, and observability. In this episode, Andre joins Kevin Ball to discuss what makes SRE agent workflows fundamentally different from coding agents, how AURA handles context engineering, AURA’s declarative configuration model, the spectrum of agent autonomy, and where the role of the SRE is headed as agents take on more of the operational work. Full Disclosure: This episode is sponsored by Mezmo. Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.     Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post AURA and Open-Source Agents for Production Operations appeared first on Software Engineering Daily.

Eric Ries is the creator of the Lean Startup method and the author of the New York Times bestseller The Lean Startup, which transformed how a generation of founders and engineers think about building products. It introduced concepts like the MVP, the pivot, and build-measure-learn that are now so widely adopted they feel obvious. Over two decades of working with founders, CEOs, and investors, Eric has observed that some companies built on those principles eventually betray the very customers and engineers who made them great. His new book, Incorruptible: Why Good Companies Go Bad and How Great Companies Stay Great, is his attempt to answer the question of whether it is possible to build a company that resists that fate. In this episode, Eric joins Gregor Vand for a wide-ranging discussion about why so many great companies lose their way, and what software engineers and founders can do today to build or find companies that are genuinely resistant to corruption. Gregor Vand is a security-focused technologist, having previously been a CTO across cybersecurity, cyber insurance and general software engineering companies. He is based in Singapore and can be found via his profile at vand.hk or on LinkedIn.       Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Eric Ries on Why Good Companies Go Bad appeared first on Software Engineering Daily.

SED News is a monthly podcast from Software Engineering Daily where hosts Gregor Vand and Sean Falconer break down the biggest stories shaping software engineering, Silicon Valley, and the broader tech industry. In this episode, Gregor and Sean dig into the growing tension around restricted AI models, including Anthropic‘s Fable being pulled from the Claude platform days after launch. They explore what Sean calls “vibe regulations” and the risk foreign governments and enterprises face when a model they depend on can be cut off. They also cover the FT’s reporting on London’s “DeepMind mafia,” a vibe-coding clone controversy involving YC-backed Corgi and Papermark, SpaceX‘s acquisitions of Cursor and Mesh, and Anthropic’s launch of Claude Science. They also take on the latest round of the IDE wars, and explore who owns your dev toolchain, the vendor lock-in that now comes from context and memory rather than the model itself, and the widening cost gap between frontier tools and open weight models. As always, the episode wraps up with a few standout Hacker News threads. Gregor Vand is a security-focused technologist, having previously been a CTO across cybersecurity, cyber insurance and general software engineering companies. He is based in Singapore and can be found via his profile at vand.hk or on LinkedIn.     Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.     Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post SED News: Restricted Models, IDE Wars, and the DeepMind Mafia appeared first on Software Engineering Daily.

Advanced software systems have long been more complex than any single engineer can fully understand. Observability is the established solution to this problem, but with AI agents now generating code, deploying changes, and operating autonomously, the challenge of understanding large software systems is entering a new dimension. Grafana is an open source observability platform, and one of the most widely used in the world. The company builds tools that help teams collect, visualize, and act on telemetry data across logs, metrics, and traces. They are now extending that capability into the agentic era with AI-powered investigation and monitoring tools. Anthony Woods is a co-founder of Grafana Labs. In this episode, he joins Matt Merrill to discuss how AI-generated code is straining software operations, why telemetry data volume has become as much a problem as a solution, how Grafana is adapting to a world where agents are the primary consumers of observability data, and what keeps him up at night about where the industry is headed. Matt Merrill is a software engineering leader with over 20 years of experience building and scaling software teams across enterprise and product-focused organizations. His background is in backend development, cloud architecture, and distributed systems design. He currently architects and delivers software products and leads a team of engineers at DEPT® Agency. You can learn more about his work at code.theothermattm.com.     Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Grafana’s Approach to AI-Native Observability appeared first on Software Engineering Daily.

Building great software always involves technical problem solving, but the best software goes beyond function. It feels fluid, coherent, and genuinely fun to use. This quality lives at the intersection of engineering and design, and very few teams know how to reliably produce it. Metalab is an engineering and design studio that has worked with some of the most successful companies in tech, including Apple, Slack, Uber, and Instacart. The studio is known for bringing together software engineering and design craft in a way that few studios can match. Wesley Yu is the VP of Engineering at Metalab, where he leads the teams that design and build digital products for early-stage companies. In this episode, Wesley joins Josh Goldberg to discuss how Metalab approaches tech stack selection for client projects, why agency work demands a bias toward boring and stable technology, how iterative development and deliberately ugly apps lead to better final products, and how AI tools are changing the boundary between design and engineering. Josh Goldberg is an independent full time open source developer in the TypeScript ecosystem. He works on projects that help developers write better TypeScript more easily, most notably on typescript-eslint: the tooling that enables ESLint and Prettier to run on TypeScript code. Josh regularly contributes to open source projects in the ecosystem such as ESLint and TypeScript. Josh is a Microsoft MVP for developer technologies and the author of the acclaimed Learning TypeScript (O’Reilly), a cherished resource for any developer seeking to learn TypeScript without any prior experience outside of JavaScript. Josh regularly presents talks and workshops at bootcamps, conferences, and meetups to share knowledge on TypeScript, static analysis, open source, and general frontend and web development. Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Building Software That People Love appeared first on Software Engineering Daily.

Yacht Club Games is the studio behind the acclaimed Shovel Knight franchise. Their latest release is Mina the Hollower, which is a top-down action RPG inspired by classic Zelda and Castlevania titles. After many years in development, the game recently launched to widespread critical acclaim. David D’Angelo is a lead programmer at Yacht Club Games. In this episode, David joins Joe Nash to discuss the custom C++ engine built for Mina the Hollower, how the team approached Game Boy Color art constraints and audio in a modern rendering pipeline, the game’s Castlevania-inspired combat philosophy, how the open world manages saving and collision without load screens, and more. Joe Nash is a developer, educator, and award-winning community builder, who has worked at companies including GitHub, Twilio, Unity, and PayPal. Joe got his start in software development by creating mods and running servers for Garry’s Mod, and game development remains his favorite way to experience and explore new technologies and concepts.   Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Mina the Hollower appeared first on Software Engineering Daily.

Predictive modeling is a core element in modern systems, and powers capabilities such as fraud detection, loan approvals, and recommendation systems. These systems typically operate on structured, relational data stored in enterprise databases, with rows, columns, and interlinked tables. While computer vision and natural language processing have undergone a neural network revolution, the tabular data layer underpinning predictive modeling still largely relies on manual feature engineering and task-specific models. Relational deep learning proposes a new approach. It treats databases as graphs and applies transformer-style attention mechanisms directly over structured relational data. Researchers are now building foundation models for tabular data that aim to generalize across predictive tasks without painstaking feature engineering. Jure Leskovec is a Professor of Computer Science at Stanford University and he previously served as Chief Scientist at Pinterest and was an investigator at the Chan Zuckerberg Biohub. Most recently, he co-founded the machine learning startup, Kumo.AI. In this episode, Jure joins Sean Falconer to discuss the limitations of traditional predictive modeling, why structured enterprise data requires its own modality-specific neural architectures, how graph transformers generalize attention to relational databases, and more. Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.   Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Foundation Models for Structured Data appeared first on Software Engineering Daily.

Modern web development requires an ever-growing collection of tools including formatters, linters, bundlers, and plugins. Each tool typically has its own configuration, dependencies, and performance cost. As applications grow more complex, the overhead of maintaining this toolchain becomes a real burden. Biome is an open source toolchain for web projects that brings formatting and linting together in a single fast, opinionated tool. It’s built in Rust and is designed to be a drop-in replacement for Prettier and ESLint, with sensible defaults, minimal configuration, and consistent behavior across the CLI and editor environments. Biome also introduces a module graph that enables cross-file analysis, and type-aware lint rules that don’t require the TypeScript compiler. Emanuele Stoppa, known as Ema, is a Senior Systems Engineer at Cloudflare, a lead at Astro, and the creator and lead maintainer of Biome. In this episode, Ema joins Josh Goldberg to discuss the history of Biome, how linters and formatters work under the hood, what makes Biome’s architecture fundamentally different from the tools it replaces, and what’s coming next for the project and its community. Josh Goldberg is an independent full time open source developer in the TypeScript ecosystem. He works on projects that help developers write better TypeScript more easily, most notably on typescript-eslint: the tooling that enables ESLint and Prettier to run on TypeScript code. Josh regularly contributes to open source projects in the ecosystem such as ESLint and TypeScript. Josh is a Microsoft MVP for developer technologies and the author of the acclaimed Learning TypeScript (O’Reilly), a cherished resource for any developer seeking to learn TypeScript without any prior experience outside of JavaScript. Josh regularly presents talks and workshops at bootcamps, conferences, and meetups to share knowledge on TypeScript, static analysis, open source, and general frontend and web development.   Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Biome and the Future of JavaScript Tooling appeared first on Software Engineering Daily.

Most of the cryptography securing the internet today rests on mathematical problems that classical computers cannot solve in any reasonable timeframe. That assumption is now being tested. Recent advances in quantum computing have dramatically compressed timelines, and many in the industry have set a target of full post-quantum security by 2029, meaning a complete migration to algorithms designed to remain secure against quantum attacks. Bas Westerbaan is a cryptography engineer at Cloudflare, where he leads the company’s efforts to migrate to post-quantum cryptography. In this episode, Bas joins Kevin Ball to discuss how quantum computers threaten public key cryptography, what post-quantum algorithms actually are and how they work, the timeline shifts that have made quantum readiness feel so urgent, and what software engineers need to do now to prepare their systems. Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.     Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Preparing for Q-Day appeared first on Software Engineering Daily.