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by Luca Ingianni, Jeff Gable
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- 6 days ago48 min
Fuzzing and Dynamic Analysis for High-Integrity Software with Paul Butcher
Fuzzing and Dynamic Analysis for High-Integrity Software with Paul Butcher We sit down with Paul Butcher, Unit Director of Dynamic Analysis at AdaCore, to explore verification techniques beyond basic compliance in safety-critical software. Paul shares his experience from Eurofighter to automated trains, explaining how dynamic analysis—from unit testing to coverage analysis to fuzzing—helps find bugs that traditional testing misses. The conversation dives deep into fuzzing: how it works, why it's so effective at finding corner-case bugs (even in well-tested systems), and the challenges of applying it to embedded systems with timing constraints. Paul introduces an intriguing approach that combines static analysis with targeted fuzzing to automatically triage false positives and generate reproducers. We also touch on formal verification, the role of LLMs in verification workflows, and why the simplest software is often the safest. Whether you're working in aerospace, medical devices, or any safety-critical domain, this episode offers practical insights into building more robust systems. Key Topics [02:30] Paul's background in high-integrity embedded systems: Eurofighter, rail, drones, and AdaCore's dynamic analysis tools [05:00] Dynamic vs. static analysis: executing code to observe real behavior across different environments [08:15] How fuzzing works: mutation engines, anomaly detection, and finding bugs through negative testing [14:20] Challenges of fuzzing timing and concurrency bugs in embedded systems [17:45] Real-world success: fuzzing the NH90 avionics via the MIL bus uncovered numerous bugs [22:30] Safety standards (DO-178C, SIL levels) and objective-based approaches vs. checkbox compliance [28:00] Determining 'enough' fuzzing: coverage, input space complexity, and building certification arguments [32:15] Combining static analysis with targeted fuzzing to automatically triage false positives and generate reproducers [38:45] Symbolic execution and theorem provers: breaking through complex branch conditions in fuzzing campaigns [42:00] Shift-left philosophy: building verifiable software from the start with testing and analysis tools [47:30] Formal verification in practice: London Underground's Victoria line uses SPARK-proven emergency braking [51:00] LLMs in verification: cautious adoption for report analysis, but determinism remains critical for core tools [54:30] High Integrity Software Conference (HISC) in Birmingham, October 2026 Notable Quotes "Software testing is typically about, is it functionally correct? Fuzzing is like a negative testing technique. It's the inverse of that. It fires random inputs into your system with the intent of finding anomalies." — Paul Butcher "Every time I speak to someone who's tried fuzzing, even if it's a system that's considered high integrity with a high level of assurance, they always find something. It's really good at eking out those weird corner case scenarios." — Paul Butcher "With testing you would like to prove the absence of bugs, but unfortunately you can't. So you have to settle for a very distant second place of proving the presence of bugs." — Luca Ingianni Resources Mentioned Paul's paper on fuzzing in safety-critical contexts - Detailed discussion of how to argue 'enough' fuzzing for certification High Integrity Software Conference (HISC) - Annual conference in Birmingham, UK (October 2026) covering high-integrity software across industries AdaCore Dynamic Analysis Tools - Coverage, fuzzing, and unit testing solutions for high-integrity software SPARK formal verification - Formal proof technology used in London Underground's Victoria line emergency braking AFL++ - Successor to the discontinued AFL (American Fuzzy Lop): Fuzzing technology mentioned as capable of quickly finding the Heartbleed bug You can find Jeff at https://jeffgable.com.You can find Luca at https://luca.engineer.Want to join the agile Embedded Slack? Click hereAre you looking for embedded-focused training
- 2 weeks ago46 min
Linux Profiling with Mohammed Billoo
Linux Profiling with Mohammed Billoo We sit down with Mohammed Billoo, founder of Mab Labs and author of the Embedded Linux Essentials Handbook, to explore the world of embedded Linux profiling and optimization. Mohammed shares hard-won lessons from the field, including debugging a scientific instrument that mysteriously crashed after 60-minute runs and optimizing a sophisticated MANET platform that took a 20% throughput hit. The conversation reveals a fundamental truth: in embedded Linux, the CPU is rarely the bottleneck. Mohammed walks us through his systematic approach to performance problems, starting with simple tools like HTOP before diving into specialized instrumentation. We discuss the critical difference between VM size and VM RSS for memory analysis, why dumping console output can kill boot times, and how to leverage kernel configurations for maximum diagnostic bang-for-buck. Mohammed emphasizes the importance of building instrumentation into systems from day one—not for premature optimization, but to give your future self the data needed when problems inevitably surface. The discussion also touches on how LLMs can accelerate the learning curve for complex tools like Valgrind and perf, while stressing that physical reality remains the ultimate arbiter of system performance. Key Topics [03:15] The surface area problem: why embedded Linux profiling requires a tool chest, not just a toolbox [06:30] Case study: debugging a scientific instrument that crashed after 60-minute runs [08:45] VM size vs. VM RSS: understanding the critical difference in memory analysis [14:20] Why the CPU is rarely the bottleneck: coprocessors, DMA, and crypto engines [18:50] Essential kernel configurations: function tracer, perf, and config kallsyms [24:10] File system bottlenecks: moving from CSV files to SQLite for data integrity [28:40] Boot time optimization: why console output is one of the biggest time sinks [32:15] Premature optimization vs. smart instrumentation: building in diagnostic capability from day one [38:25] Leveraging LLMs for visualization and analysis of perf data and Valgrind output [43:50] The first five commands: starting with HTOP and working down to specialized tools Notable Quotes "When you first get started, you have generally this arrogance that like, oh, it works fine. I've tested it. It's good to go. But then as you get more experience, as you become a more senior-level engineer, that arrogance, you start to kind of strip away a lot of that arrogance. You get humbled pretty quickly." — Mohammed Billoo "The CPU is very rarely the bottleneck because it's meant to, and the drivers are implemented in Linux in such a way that they're intelligent enough that they can hand off a lot of the things of the CPU to coprocessors so that the CPU is really idle." — Mohammed Billoo "I don't convince myself of a claim that I'm making until I have data to back it up. So I don't say, oh, you know, this is working fine. Like, well, again, what does fine mean? Or, you know, what does well mean? And what is the data to prove that?" — Mohammed Billoo Resources Mentioned HTOP - Interactive process viewer for Linux - Mohammed's first tool for getting a high-level view of system performance perf - Linux profiling tool with performance counters - requires kernel configuration to enable LTTng - Linux Trace Toolkit Next Generation - provides visibility across both user space and kernel space Valgrind - Memory debugging and profiling tool for detecting memory leaks iperf - Network throughput measurement tool with server and client components GStreamer - Multimedia framework with built-in tools for per-frame timestamp analysis Tracealyzer - Visualization tool for LTTng and other performance data SQLite - Embedded database recommended for data integrity over CSV files in embedded systems Embedded Linux Essentials Handbook - Mohammed Billoo's book published by Packt Mab Labs</
- Apr 15, 202647 min
E94 Requirements Engineering, part 1: Fundamentals
Requirements Engineering Fundamentals - Part 1 We kick off a multi-part series on requirements engineering by exploring what requirements actually are and why they matter - even for Agilists. Jeff shares his medical device expertise while Luca brings his automotive and aerospace background to discuss the different levels of requirements (from high-level user needs to testable system requirements), the importance of traceability, and why proper tooling beats Word and Excel every time. We dig into practical aspects like the EARS format for writing requirements, the crucial distinction between requirements and design choices, and why glossaries aren't as boring as they sound. Along the way, we tackle the tension between regulatory compliance and actual engineering value, emphasizing that documentation should be an artifact of diligent work - not the work itself. Whether you're in safety-critical industries or just want to build better products, understanding requirements engineering helps manage complexity and prevent costly mistakes. Key Topics [02:30] What is requirements engineering and why it matters beyond safety-critical industries [06:45] Don't Agilists hate requirements? Debunking the myth and discussing iteration vs. waterfall [11:20] The hierarchy of requirements: user needs, system requirements, and subsystem requirements [18:00] Requirements vs. design choices: where to draw the line and why it matters for testing [24:15] Writing good requirements: EARS format, must vs. shall vs. may, and the value of glossaries [32:40] Traceability: linking requirements across levels and to test cases [40:30] Why Word and Excel don't cut it: the case for proper requirements management tools [48:20] Risk analysis and mitigation in safety-critical development [52:00] Documentation as artifact of diligent work, not the work itself Notable Quotes "The whole agile movement was a reaction to the one time through the requirements specification build test loop that took several years. By the time you got to the end, the requirements no longer applied." — Jeff "Do not use an LLM to manage requirements. Do use the LLM to write tools that help you manage requirements." — Luca "I view any medical device that I work on as if it's going to be used on my child. What do I need to do to convince myself that it is safe and effective? Once I have done that, if there are remaining boxes to check to get it through FDA, I will check those boxes." — Jeff Resources Mentioned EARS (Easy Approach to Requirements Syntax) - A grammar format for writing clear, verifiable requirements that constrains how requirements are written to reduce ambiguity FDA Guidance on Agile Development - Regulatory guidance describing how to do Agile development in medical device context ISO 26262 - Automotive safety standard mentioned as having similar traceability requirements to medical devices DO-178B - Aerospace software safety standard with similar requirements engineering principles You can find Jeff at https://jeffgable.com.You can find Luca at https://luca.engineer.Want to join the agile Embedded Slack? Click hereAre you looking for embedded-focused trainings? Head to https://agileembedded.academy/Ryan Torvik and Luca have started the Embedded AI podcast, check it out at https://embeddedaipodcast.com/
- Apr 1, 202652 min
Hardware-Software Co-Development with Tobias Kästner
We talk with Tobias Kästner, a physicist-turned-software-architect and technical consultant at Inovex, about his journey from painfully slow hardware-software integration cycles to achieving three-week hardware sprints. Tobias shares hard-won lessons from medical device development, where fuzzy requirements and constant feedback from life scientists forced his team to rethink traditional approaches. The conversation centers on practical techniques: breaking monolithic PCB designs into modular "feature boards" connected via shields (think Arduino-style), using Git for hardware version control with SHA-1s printed on silkscreens, and leveraging tools like Zephyr RTOS to enable plug-and-play firmware that matches the modularity of the hardware. Tobias explains how relaxing constraints like board size and using automation to merge schematics allowed his team to iterate rapidly while maintaining a clear path to final form-factor designs. We discuss how this approach scaled to projects with 120+ people across multiple teams, and why the interplay between system architecture, organizational structure, and information flow matters more than most realize. Key Topics [02:30] The painful reality of traditional hardware development: six-month wait for hardware, nine months of debugging [08:00] Breaking apart monolithic PCB designs into modular feature boards with shield connectors [12:45] Relaxing constraints: larger board areas, autorouting, and prioritizing testability over final form factor [18:20] Version control for hardware: putting schematics in Git and printing SHA-1s on silkscreens [22:00] Using automation to merge feature board schematics into final form-factor designs [26:15] Firmware architecture: NuttX, Zephyr, KConfig, and device trees for modular, plug-and-play software [35:40] Scaling agile hardware-software co-development to 120+ person projects across multiple teams [39:00] The interplay of system architecture, organizational architecture, and information architecture Notable Quotes "When the board arrived, not a single line of code had been written for it because no one had been able to touch it. It took us nine additional months to debug all the things out of it." — Tobias Kästner "I've never seen any board working the first time. I've never seen any prototype without thin wires patching things out, but that's maybe a different story." — Tobias Kästner "We cannot think these architectures as independent of one another. If we have limitations in two of these architectures, we will see these limitations in the third architecture as well." — Tobias Kästner Resources Mentioned Inovex - Tobias's company offering engineering consulting services, trainings, and expertise in embedded systems, IoT, and full-stack development Zephyr RTOS - Open-source real-time operating system with KConfig, device tree support, and extensive driver library that Tobias recommends for modular firmware development NuttX RTOS - Apache Foundation RTOS with clean device driver model and KConfig support that Tobias used in earlier projects KiCad - Open-source PCB design software with emerging Python API support for schematic automation Services and Contact Through Inovex, Tobias provides trainings for both Zephyr and Yocto Linux, as well as consultancy and engineering support for embedded projects -- from 1-2 day workshops evaluating architectural state and cost/benefit analysis, to first prototypes, to full-fledged software development. With partners such as alpha-board (Berlin) and Blunk electronic (Erfurt), they also offer agile hardware services and help teams get started with the methods discussed in this episode. Email: tobias.kaestner@inovex.de Tobias Kästner on LinkedIn tobiaskaestner on the Zephyr Discord Channel Links Companies: Inovex -- Embedded Systems Blunk electronic alpha-board <a href="https://
- Mar 18, 202642 min
Test-Driven Development in the Age of AI
We explore how test-driven development (TDD) remains essential—perhaps more than ever—when working with AI coding tools. Luca shares his evolved workflow using Claude Code, breaking down how he structures tests in three phases: test ideas, test outlines, and test implementations. We discuss why TDD provides the necessary control and confidence when AI generates code, how it prevents technical debt accumulation, and why tests serve as precise specifications for AI rather than afterthoughts. The conversation covers practical challenges like AI's tendency toward "success theater" (overly generous assertions), the importance of maintaining tight control over code quality, and why the bottleneck in AI-assisted development isn't code generation—it's expressing clear intent. We also touch on code spikes, large-scale refactorings, and why treating AI development as pair programming keeps you in the driver's seat. If you're wondering whether TDD still matters when AI writes your code, this episode makes a compelling case that it matters more than ever. Key Topics [02:30] Why TDD still matters with AI: confidence and control over generated code [06:45] Tests as specifications: describing desired behavior to AI rather than writing prompts [09:20] The three-phase test workflow: test ideas, test outlines, and implementations [15:30] Pair programming with AI: staying at the conceptual level while AI handles implementation [20:15] Code spikes and exploration: using AI to answer questions before writing production tests [24:40] AI failure modes: over-mocking and "success theater" with weak assertions [28:50] Large-scale refactorings: how AI excels at updating hundreds of tests simultaneously [32:10] The real bottleneck: expressing intent and specifications, not code generation speed Notable Quotes "As far as I am concerned, test-driven development is just about writing prompts for the AI that it can then use to build what you want it to build." — Luca "If you expect that a five-line prompt resulting in 10,000 lines of code will not result in 9,995 lines of uncertainty, you're just deluding yourself." — Luca "You can be five times faster than you were before and still maintain a very high production level quality code, but you probably can't be a hundred times faster." — Jeff Resources Mentioned Claude Code - Terminal-based AI coding assistant that Luca uses for TDD workflows, keeping conceptual work separate from code-level work Embedded AI Podcast - Luca's separate podcast focusing on AI in embedded systems, co-hosted with Ryan Torvik Luca's AI Training Courses - Hands-on trainings for using AI in embedded systems development (and much more!) links to all of Luca's work - Training, consulting, podcasts, conference talks and everything else You can find Jeff at https://jeffgable.com.You can find Luca at https://luca.engineer.Want to join the agile Embedded Slack? Click hereAre you looking for embedded-focused trainings? Head to https://agileembedded.academy/Ryan Torvik and Luca have started the Embedded AI podcast, check it out at https://embeddedaipodcast.com/
- Mar 4, 202643 min
Engineering Organizations Part 2: Product Companies and Market-Driven Focus
In this second part of our series on engineering organizations, Jeff and Luca explore how companies that build products should focus their efforts differently depending on their stage and scope. We start with startups and early-stage companies desperately searching for product-market fit, where the brutal truth is: quality doesn't matter yet. Your MVP should embarrass you—if it doesn't, you waited too long. We discuss the critical mental shift from throwaway prototypes to proper engineering once validation arrives, and why technical founders often fail by solving the wrong problem brilliantly. Moving up the ladder, we examine narrow-focus companies that have found their niche—like the German firm that does nothing but maintain a 100-year-old anchor chain machine, or specialists in medium-power electrical switches. These companies win through efficiency and deep expertise, but face existential risk if the market shifts. Finally, we tackle wide-focus companies introducing multiple product lines, where the challenge becomes running internal startups while managing established products, each requiring radically different approaches. The key insight: your focus must match your product's lifecycle stage, whether that's ruthless speed, cost optimization, or high-level process learning. Key Topics [02:30] Startups and early-stage companies: the existential search for product-market fit [06:45] The MVP philosophy: if you're not embarrassed, you waited too long [11:20] Quality vs. speed vs. scope: why quality doesn't matter in early stages [15:40] The Potemkin village approach: building facades to validate demand [19:15] Embedded products and MVPs: when physical products need creative shortcuts [23:50] The critical switch: from prototypes to proper engineering after validation [28:30] Narrow-focus companies: German hidden champions and deep specialization [34:10] Wide-focus companies: running internal startups within established organizations [40:25] Product teams and parallel focuses: managing different lifecycle stages simultaneously [45:00] Large established companies: high-level process learning and avoiding organizational weight Notable Quotes "If you read the Lean Startup, they will explicitly say: if you weren't embarrassed by your MVP, you waited too long. It really has to be painfully flimsy because you cannot afford to do it well." — Luca "Quality doesn't even factor because you're very explicitly building mock-ups from chewing gum and paper mache. They are fully intended to be thrown away." — Luca "Getting that product-market fit is existential. You will die if you do not get it and get it relatively quickly." — Jeff Resources Mentioned The Lean Startup - Eric Ries' book discussing MVP philosophy and the importance of being embarrassed by your first product The Mom Test - Rob Fitzpatrick's book about getting real customer feedback and validation through financial commitment The Art of Innovation - Tom Kelley's book on IDEO's design process, including the clothespin switch story Luca's Website - Trainings on embedded agile, AI in embedded systems, and more Jeff's Website - Consulting services for medical device software development You can find Jeff at https://jeffgable.com.You can find Luca at https://luca.engineer.Want to join the agile Embedded Slack? Click hereAre you looking for embedded-focused trainings? Head to https://agileembedded.academy/Ryan Torvik and Luca have started the Embedded AI podcast, check it out at https://embeddedaipodcast.com/
- Feb 18, 202643 min
Engineering Organizations Pt 1: Service Firms - When You Are the Product
In this first part of a two-part series, Jeff and Luca explore how different types of service-oriented engineering organizations should focus their learning and improvement efforts. Drawing from their consulting experience, they examine three distinct categories: product development firms that turn client ideas into reality, engineering development firms that sell specialized technical expertise, and solo engineers who package all necessary knowledge into one person.The core insight: what you should focus on learning depends entirely on what you're actually selling. Product development firms need to master the entire client journey and product design process, not just engineering excellence. Engineering development firms must become technical wizards in a specific domain that clients actually value. Solo engineers face the challenge of needing deep expertise while wearing every business hat. Across all three types, the common traps are the same: focusing too much on craft and too little on client experience, failing to specialize, and not investing enough in teaching as marketing.Throughout the discussion, Jeff and Luca emphasize that for service firms, you are the product - and that changes everything about where you should direct your improvement efforts. The conversation is grounded in real experiences, including some cautionary tales about firms that tried to be everything to everyone.Key Topics[00:00] Introduction: Two-part series on engineering organizations and their different focuses[02:30] Overview of the framework: Service firms vs. product-building companies[05:15] Product development firms: Why engineering excellence isn't enough[08:45] The critical importance of product design and client guidance over pure engineering[12:20] Process-level learning: Shortening cycle times and enabling rapid prototyping[15:40] The Irinos example: In-house board manufacturing to tighten feedback loops[18:30] Requirements will always change - designing for learning, not perfection[21:00] The danger of being a generalist: Why specialization matters for service firms[24:15] Engineering development firms: Selling technical expertise, not complete products[27:45] Technology-focused learning: Going deep on specific technical capabilities[30:20] The trap of becoming a commodity: Why domain expertise beats technology alone[33:40] The forklift invoice review example: You can't specialize too narrowly[35:30] Solo engineers: The complete package vs. temporary employee trap[39:00] Common failures across all service firms: Too much craft focus, too little client experience and marketing[41:30] Teaching as the best form of marketing for technical service firmsNotable Quotes"The customers don't actually hire them for their engineering skills. They are sort of a given. But what such a product development firm should offer the client is guiding them through the development process, which they don't have enough skills for to do it on their own." — Luca"Engineering is not the point. The unit of work is delivering a working product to the client that satisfies their business case, that has a reasonable cost to manufacture, and that you feel confident your own client has validated their market." — Jeff"It's not that engineering is irrelevant, but rather that it's table stakes. This is just taken for granted, but what such a product development firm should offer is guiding them through the development process." — Luca"You almost can't be narrow enough. I remember our friend Philip Morgan having this example of a company that specializes in reviewing invoices of forklift repairs. This is what they do. They review forklift repair invoices. And they're doing very well apparently." — Luca"Teaching and giving information and solving problems publicly is the best form of marketing. It's not advertising. It's building trust with an audience." — JeffResources MentionedIDEO - Prototypical design firm mentioned as an example of companies specializing in product designIRNAS - Product development firm with in-house board manufacturing capabilities, featured in previous episodes, exemplifying tight feedback loopsPhilip Morgan - Consultant and friend mentioned for his example about specialization (forklift invoice review company)Jeff Gable's website - Jeff's consulting services for medical device software development and advisoryLuca Ingianni's website - Luca's training products and resources for embedded systems, IoT, and AIConnect With UsStay tuned for Part 2, w
- Jan 19, 202635 min
Rust with Milica Kostic
In this episode, we sit down with Milica Kostic, an embedded software architect from Belgrade, Serbia, to discuss her journey from C/C++ to Rust and what it means for embedded development. Milica shares her experience adopting Rust in production environments, starting with an embedded Linux project using a microservice architecture that allowed for clean isolation of Rust code.We explore the practical realities of learning Rust as an experienced C/C++ developer - yes, there's a learning curve, and yes, the compiler will slap you on the wrist frequently. But Milica explains how the development experience, with cargo as a package manager and built-in tooling for testing and static analysis, makes the journey worthwhile. She's candid about where Rust shines (embedded Linux, greenfield projects) and where challenges remain (microcontroller support, IDE tooling, vendor backing).The conversation touches on the bigger question facing our industry: with memory safety becoming critical in our connected world, what role should Rust play in new embedded projects? While Milica takes a measured stance - acknowledging that C and C++ aren't going anywhere - she's clearly excited about Rust's potential, especially in safety-critical domains like medical devices. Whether you're Rust-curious or still skeptical, this episode offers a grounded perspective from someone who's actually shipped production code in Rust.Key Topics[02:30] Milica's background in embedded systems and her journey from electrical engineering to embedded software development, with focus on safety-critical industries like medical devices[04:15] The path to adopting Rust: from first hearing about it in 2020 to finding a client project willing to embrace it, and the importance of having experienced Rust developers on the team[07:00] Choosing the right project for Rust adoption: embedded Linux with microservice architecture as an ideal starting point, avoiding complex C/C++ interoperability[10:45] The learning curve: getting used to the Rust compiler's strictness, discovering the ecosystem of unofficial but widely-used crates, and how learning Rust improved C++ skills[14:20] What makes Rust development pleasant: cargo as package manager, built-in testing and static analysis, cleaner code organization with modules, and writing unit tests alongside source code[17:30] Current limitations: lack of official vendor support for microcontrollers, community-driven development, potential gaps in certified stacks (like BLE), and IDE support challenges[20:15] Interfacing Rust with C and C++: C binding works well, C++ has limitations with inheritance and templates, and the safety considerations when using unsafe code blocks[25:40] Integrating Rust into legacy projects: when it makes sense (isolated new features requiring memory safety) and when it doesn't (just for experimentation), plus maintenance considerations[30:00] The big question: Is it irresponsible not to use Rust for new projects? Discussion of Philip Marcraff's strong stance and Milica's more nuanced view considering team knowledge, existing tooling, and project context[33:45] The influence between languages: how C++ is learning from Rust's memory safety features, and why the borrow checker is harder to retrofit than basic safety improvements[36:20] Rust in operating systems: adoption in the Linux kernel and Microsoft Windows, and major tech companies pushing C++/Rust interoperability forward[39:00] The future of Rust in embedded: Milica's view that C, C++, and Rust will coexist, each with their own use cases, advantages, and trade-offsNotable Quotes"Learning Rust has also made me a better C++ developer as well. Once you get used to those rules, you apply them in C++ as well." — Milica"Just like writing Rust code is pleasant. It flows much nicer than or easier than it would with C++, for example. The way you organize your code, in my opinion, is also cleaner." — Milica"If you are developing Rust for embedded systems on microcontrollers, you need to be aware that there is no official vendor support. Everything currently is open source and driven by the community." — Milica"You definitely do not lose benefits of using Rust for the rest of your codebase when using a C library. That C library is isolated, and if there are some memory issues, then you know where to look." — Milica"I think most of the benefits come from starting with Rust in the first place. So having a clean slate, starting a new product, new project with Rust. That's where you see the most benefits." — MilicaResources MentionedEmbassy - An async framework used in embedded Rust projects, mentioned as a good starting point
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About The Agile Embedded Podcast
Learn how to get your embedded device to market faster AND with higher quality. Join Luca Ingianni and Jeff Gable as they discuss how agile methodologies apply to embedded systems development, with a particular focus on safety-critical industries such as medical devices.
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