# debugger Published articles for debugger. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Logpoints Walkthrough DevFeed: [Logpoints Walkthrough]() Original publisher: [Read original article]() Author: Igor Kulakov Published: 2026-09-16T14:14:04Z Content type: tutorial Language: en Sources: [The JetBrains Blog]() Topics: [IntelliJ IDEA](), [debug](), [debugging](), [gRPC](), [Java](), [2026.2]() Tags: [2026-2](), [bug](), [client](), [command-line](), [debug](), [debugger](), [debugging](), [debugging-tools](), [idea](), [intellij](), [intellij-idea](), [java](), [kotlin](), [logpoints]() ### AI overview This walkthrough explains how to use logpoints in IntelliJ IDEA to investigate a bug in a gRPC client-server example that returns incorrect discount values. It covers reproducing the issue, attaching the debugger to the server, and observing program behavior without suspending execution, including improvements in IntelliJ IDEA 2026.2. ### Source excerpt Modern development tools, especially IntelliJ IDEA, have such comprehensive debugging support that for virtually any niche use case, there is a specialized tool for the job. This can make it hard to know where to begin. If you are new to debugging tools and want the biggest return on your learning investment, the best feature [...] ## Alif Semi Balletto B1 and Ensemble E1C StartKits feature Cortex-M55 + Ethos-U55 MCU for IoT and Edge AI DevFeed: [Alif Semi Balletto B1 and Ensemble E1C StartKits feature Cortex-M55 + Ethos-U55 MCU for IoT and Edge AI]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-15T09:00:06Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Microcontrollers](), [Embedded Systems](), [Microcontroller](), [cpu](), [Internet of things](), [Artificial Intelligence](), [SDK]() Tags: [802-15-4](), [ai](), [alif](), [ble](), [camera](), [core](), [debugger](), [development-board](), [devkit](), [edge](), [edge-ai](), [embedded-systems](), [hardware](), [i2c](), [iot](), [led](), [low-power](), [mcu](), [microcontrollers](), [mikrobus](), [open-source](), [sensor](), [specifications](), [testing](), [zephyr](), [zephyr-os]() ### AI overview Alif Semiconductor's Balletto B1 and Ensemble E1C StartKits are low-cost development boards built around Cortex-M55 microcontrollers with Ethos-U55 NPUs. The Balletto B1 adds BLE 5.3 and 802.15.4 connectivity, while both boards include camera, audio, sensor expansion, debugging, and power-measurement features. ### Source excerpt Alif Semiconductor's Ensemble E1C (SK-E1C) and Balletto B1 (SK-B1) StartKits are low-cost development boards built around the company's Cortex-M55 + Ethos-U55 microcontrollers. The Balletto B1 adds BLE 5.3 and 802.15.4 wireless connectivity, while the Ensemble E1C does not have built-in wireless connectivity. Both StartKits feature a microcontroller with a 160MHz Cortex-M55 CPU, an Ethos-U55 NPU, 2MB SRAM, and 1.8/1.9MB NVM. They also include an Arducam camera header, a mikroBUS Click Board expansion socket, and two PDM microphones for camera, audio, and sensor-based projects. The Balletto B1 additionally provides the complete RF path to a chip antenna for its wireless subsystem, while both boards feature an on-board Segger J-Link debugger for development and testing. Alif Semiconductor StartKit (SK-B1 and SK-E1C) specifications: MCU SK-E1C - Alif Semiconductor Ensemble E1C SK-B1 - Alif Semiconductor Balletto B1 CPU - Arm Cortex-M55 core with Helium-M Vector Extension @ up to 160 MHz NPU - Arm [...] The post Alif Semi Balletto B1 and Ensemble E1C StartKits feature Cortex-M55 + Ethos-U55 MCU for IoT and Edge AI appeared first on CNX Software - Embedded Systems News. ## Run Zephyr on ESP32 with QEMU: no board required DevFeed: [Run Zephyr on ESP32 with QEMU: no board required]() Original publisher: [Read original article]() Author: John Lee Published: 2026-09-15T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [Zephyr RTOS](), [ESP32](), [qemu](), [Espressif](), [Emulator](), [Embedded Software Dev](), [SDK]() Tags: [blog](), [boot](), [bootloader](), [build](), [debugger](), [emulator](), [esp32](), [esp32-c3](), [esp32-c6](), [esp32-s3](), [espressif](), [firmware](), [flash](), [gdb](), [install](), [qemu](), [sdk](), [toolchain](), [tutorial](), [zephyr]() ### AI overview This tutorial explains how to install and use the Espressif QEMU fork to build and run Zephyr firmware for emulated ESP32, ESP32-S3, ESP32-C3, and ESP32-C6 targets without physical boards. It covers Simple Boot and MCUboot/sysbuild workflows, debugger attachment through GDB, and the relevant Zephyr SDK toolchain setup. ### Source excerpt Install the Espressif QEMU fork and run Zephyr on emulated ESP32, ESP32-S3, ESP32-C3, and ESP32-C6 targets without a physical board. ## Quiz: Python Debugging With Pdb DevFeed: [Quiz: Python Debugging With Pdb]() Original publisher: [Read original article]() Author: Real Python Published: 2026-09-12T12:00:00Z Content type: tutorial Language: en Sources: [Real Python]() Topics: [Python](), [debugging](), [debug]() Tags: [bugs](), [course](), [debugger](), [debugging](), [how-to](), [learn](), [python](), [resources](), [tool](), [tutorial]() ### AI overview An interactive 10-question quiz that tests practical knowledge of Python's built-in pdb debugger, including inspecting variables, stepping through code, using conditional breakpoints, watching expressions, and interpreting stack traces. ### Source excerpt Practice using pdb, Python's built-in debugger. Check variables, step through code, set conditional breakpoints, and read a stack trace. ## Module Tracking in Swift Debug Info DevFeed: [Module Tracking in Swift Debug Info]() Original publisher: [Read original article]() Author: Adrian Prantl Published: 2026-09-11T15:30:00Z Content type: tutorial Language: en Sources: [Swift.org]() Topics: [debugging](), [debug](), [toolchain](), [C++]() Tags: [cmake](), [debug](), [debugger](), [debugging](), [jit](), [swift]() ### AI overview Swift 6.3 and the upcoming Swift 6.4 improve how explicitly built Swift modules are referenced in debug information. The article explains how this helps LLDB locate modules for expression evaluation, improving debugging reliability and reducing build products, while noting that custom build systems may need adjustments. ### Source excerpt When your Swift program hits a breakpoint and stops so you can inspect it, the debugger's expression evaluator has to find the exact Swift module your code was built from. Until now, that lookup wasn't always precise. The upcoming Swift 6.4 release will include changes, begun in Swift 6.3, that address this by updating how the Swift compiler references explicitly-built Swift modules in debug info. The majority of developers will automatically benefit from faster, more reliable debugging and smaller build products, without any modifications to their SwiftPM or Xcode projects. For developers who maintain their own build systems using, for example, Bazel, Buck, or CMake, some adjustments may be necessary to take advantage of these changes. This article explains how the debugger uses Swift modules. Next, it describes how Swift 6.3 changes the way modules are tracked in debug info to solve several problems with the previous representation. Finally, it shows how to adjust build systems to take advantage of the new representation and eliminate some build steps that are no longer necessary. Swift modules and expression evaluation LLDB's standout feature is its powerful expression evaluator. Because LLDB embeds the Clang and Swift compilers, it can JIT-compile any valid source code and run it in the context of your application while stopped at a breakpoint. This includes not just calling code in your application, but also defining new data types, functions, and closures. Debugging features that are usually reserved for interpreted or JIT-compiled languages like JavaScript become available to ahead-of-time-compiled languages like C++ and, of course, Swift! In order to JIT-compile user expressions that make use of data types defined in the debugged program, LLDB's embedded Swift compiler needs to import the Swift modules defining those types. In a world before explicitly-built modules, LLDB would find the base name of the main module at the current breakpoint in the debug info ## Quiz: Starting With Python IDLE DevFeed: [Quiz: Starting With Python IDLE]() Original publisher: [Read original article]() Author: Real Python Published: 2026-09-09T12:00:00Z Content type: article Language: en Sources: [Real Python]() Topics: [Python](), [debug](), [Code]() Tags: [code](), [course](), [debug](), [debugger](), [development](), [learn](), [python](), [workflow]() ### AI overview An eight-question interactive quiz that tests understanding of Python IDLE, including its REPL shell, editing and running Python files, built-in debugging, and customization options. ### Source excerpt Test your grasp of Python IDLE. Run code in the shell, edit and run files, debug with breakpoints, and make the editor look the way you like. ## Node.js 24.21.0 (LTS) DevFeed: [Node.js 24.21.0 (LTS)]() Original publisher: [Read original article]() Published: 2026-09-09T11:55:20Z Content type: release Language: en Sources: [Node.js Blog]() Topics: [Node.js]() Tags: [benchmark](), [debugger](), [node-js](), [performance](), [testing](), [update]() ### AI overview Node.js 24.21.0 (LTS) is a release update with crypto and dependency updates, performance improvements, benchmarking changes, and other fixes. ### Source excerpt Node.js® is a free, open-source, cross-platform JavaScript runtime environment that lets developers create servers, web apps, command line tools and scripts. ## The Rider 2026.3 Early Access Program Is Open DevFeed: [The Rider 2026.3 Early Access Program Is Open]() Original publisher: [Read original article]() Author: Alexander Kurakin Published: 2026-09-07T09:35:21Z Content type: release Language: en Sources: [The JetBrains Blog]() Topics: [debugging](), [C++]() Tags: [c-plus-plus](), [code-completion](), [debugger](), [debugging](), [eap](), [game-development](), [gamedev](), [net-tools](), [rider](), [test-coverage](), [unreal-engine]() ### AI overview Rider 2026.3's first Early Access build adds rainbow brackets, streamlined data-breakpoint setup, a consolidated game-development plugin category, and code-completion filters. ### Source excerpt The first Early Access build for Rider 2026.3 is now available! It includes rainbow brackets, an easier way to set data breakpoints, a new Game Development plugin category, and filters in code completion. You can get the build from our website or through the Toolbox App. Here's a look at what's new. Rainbow brackets: You [...] ## Rust debugging survey 2026 results DevFeed: [Rust debugging survey 2026 results]() Original publisher: [Read original article]() Author: Sam Kellam Published: 2026-09-07T00:00:00Z Content type: article Language: en Sources: [Rust Blog]() Topics: [debugging](), [Rust](), [ide](), [Command-line interface]() Tags: [2026](), [command-line](), [debugger](), [debugging](), [developers](), [ide](), [rust](), [survey]() ### AI overview The Rust project reports results from its first Rust Debugging Survey, which received more than 2,300 responses. The article examines who uses debuggers, how Rust developers debug programs, and the debugging challenges they encounter. More than 46% of respondents currently use debuggers, while print debugging and the macro are widely used, followed by debugging inside an IDE and on the command line. ### Source excerpt One of the biggest challenges Rust developers report in our annual surveys is a subpar debugging experience. So, back in February, we ran our first Rust Debugging Survey, in the hopes of identifying how Rust developers are using debuggers and what problems they are facing when doing so. We received over 2,300 responses, and we'd like to thank everyone who took the time to participate in the survey! In this report, we'll go over some of the results of the survey. If you'd like, you can also check out the complete results of the survey. If you'd like to skip ahead to any particular section, you can do so with this index: Who Uses Debuggers? How Are Debuggers Used? Challenges Debugger Visualizers Closing Remarks Who Uses Debuggers? The first step to making sense of the survey results is understanding who took the survey. We asked respondents to rate their Rust expertise, from "Never used it" to "Advanced". Over 80% reported themselves as "Advanced" or "Intermediate", split roughly evenly between the two: [PNG] [SVG] We also asked respondents if they currently use or have used debuggers in Rust. Over 46% said they currently do, with the remaining responses split between "have in the past" and "never have". That means that over half of respondents do not currently use a debugger for Rust! [PNG] [SVG] Categorized by expertise, the responses reveal that roughly half of "beginners" have never used debuggers in Rust! On the other hand, nearly half of "advanced users" currently do use debuggers in Rust: [PNG] [SVG] For respondents who indicated they had previously used Rust but no longer did, we asked if challenges with debugging support were why they stopped. For nearly 3%, the answer was "yes", with an additional 24% reporting debugging issues as being partially responsible (though mind the small response count; most respondents were active users of Rust): [PNG] [SVG] How Are Debuggers Used? Knowing what debuggers developers are using and how is another important part of un ## Debug live production code without redeploying with Datadog Live Debugger DevFeed: [Debug live production code without redeploying with Datadog Live Debugger]() Original publisher: [Read original article]() Author: Eric Metaj; Sarah Stonehill Published: 2026-08-27T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [debugging](), [Instrumentation](), [AI-assisted coding](), [Code]() Tags: [agents](), [ai](), [apm](), [bits-ai](), [code](), [debug](), [debugger](), [debugging](), [developer](), [ide](), [instrumentation](), [production](), [root-cause-analysis](), [tracing]() ### AI overview Datadog Live Debugger helps developers investigate production bugs without changing, restarting, or redeploying application code. It captures runtime details through logpoints, including variable values, method arguments, execution context, and request paths. Bits AI can analyze linked source code, place non-breaking logpoints, interpret collected data, and suggest fixes grounded in production behavior. ### Source excerpt Learn how Live Debugger helps you investigate production code and debug faster using Bits AI. ## The Visual Studio Debugger Agentic Workflow Gets a Test-Driven Upgrade DevFeed: [The Visual Studio Debugger Agentic Workflow Gets a Test-Driven Upgrade]() Original publisher: [Read original article]() Author: Harshada Hole Published: 2026-08-26T16:00:47Z Content type: article Language: en Sources: [Visual Studio Blog]() Topics: [debugging](), [AI-assisted coding]() Tags: [agent](), [agentic](), [bug](), [copilot](), [debugger](), [debugging](), [debugging-and-diagnostics](), [devops](), [diagnostics](), [github](), [visual-studio](), [visual-studio-2026](), [workflow]() ### AI overview Visual Studio Debugger Agent adds a test-driven investigation workflow that creates or identifies a focused failing test, debugs it to find the root cause, and reruns it to validate a fix. It is intended for issues without reliable manual reproduction steps when supported test infrastructure is available. ### Source excerpt A few months ago, we introduced a new guided agentic workflow in the Visual Studio Debugger Agent designed to help you move from a bug report to a verified fix without spending your morning guessing where to begin. If you missed that announcement, check out Stop Hunting Bugs: Meet the New Visual Studio Debugger Agent [...] The post The Visual Studio Debugger Agentic Workflow Gets a Test-Driven Upgrade appeared first on Visual Studio Blog. ## jetc.dev Newsletter Issue #326 DevFeed: [jetc.dev Newsletter Issue #326]() Original publisher: [Read original article]() Author: CommonsWare Published: 2026-08-11T14:00:00Z Content type: article Language: en Sources: [jetc.dev | Issues]() Topics: [Compose](), [compose-multiplatform](), [Android](), [compose-for-web](), [debug](), [Design system](), [Testing](), [AI-assisted coding]() Tags: [coding-agents](), [compose](), [compose-for-desktop](), [compose-for-web](), [debugger](), [design-system](), [jetpack-compose](), [testing]() ### AI overview Newsletter Issue #326 covers recent Compose developments, including Places UI Kit discussions, stability considerations, design-system testing, Compose Desktop and Web test bridges, and an Android debugger aimed at coding agents. It also highlights community projects and releases around Compose Multiplatform. ### Source excerpt Why we sometimes still need to think about stability! Compose Desktop/Web test bridge! Android debugger for coding agents! And... Places, everyone?!? ## Release candidate: Godot 4.7.1 RC 2 DevFeed: [Release candidate: Godot 4.7.1 RC 2]() Original publisher: [Read original article]() Author: Thaddeus Crews Published: 2026-07-09T12:00:00Z Content type: release Language: en Sources: [Godot Engine Official]() Topics: [Godot](), [3D]() Tags: [3d](), [animation](), [crash](), [debugger](), [improvements](), [pre-release](), [release]() ### AI overview Godot 4.7.1 RC 2 is a second release candidate in the maintenance cycle, focused largely on regression fixes since RC 1. The release includes fixes across the 2D and 3D editors, animation, core, project settings, debugger, file dialogs, resource indicators, scene handling, and related editor functionality. ### Source excerpt The de-specialized edition: special edition! ## dcmake: a new CMake debugger UI DevFeed: [dcmake: a new CMake debugger UI]() Original publisher: [Read original article]() Published: 2026-04-07T03:04:02Z Content type: article Language: en Sources: [Chris Wellons]() Topics: [CMake](), [debugging](), [GUI](), [Visual Studio](), [Software Engineering]() Tags: [ai](), [cmake](), [cpp](), [debugger](), [engineering-productivity](), [linux](), [macos](), [ui](), [visual-studio](), [windows]() ### AI overview The article introduces dcmake, a cross-platform native GUI debugger for CMake's debugger mode. It describes its DAP-based interaction, Dear ImGui interface, Visual Studio-inspired controls, persistent UI state, and use of AI to accelerate development. ### Source excerpt CMake has a --debugger mode since 3.27 (July 2023), allowing software to manipulate it interactively through the Debugger Adaptor Protocol (DAP), an HTTP-like protocol passing JSON messages. Debugger front-ends can start, stop, step, breakpoint, query variables, etc. a live CMake. When I came across this mode, I immediately conceived a project putting it to use. Thanks to recent leaps in software engineering productivity, I had a working prototype in 30 minutes, and by the end of that same day, a complete, multi-platform, native, GUI application. I named it dcmake ("debugger for CMake"). I've tested it on macOS, Windows, and Linux. Despite only being couple days old, it's one of the coolest things I've ever built. Prior to 2026, I estimate it would have taken me a month to get the tool to this point. It has a Dear ImGui interface, which I've experienced as a user but never built on myself before. Specifically the docking branch. In a sense it's a toolkit for building debuggers, so it's playing an enormous role in how quickly I put this project together. All of the "windows" tear out and may be free-floating or docked wherever you like, closely matching the classic Visual Studio UI. I borrowed all the same keybindings: F10 to step over, F11 to step in, F5 to start/continue, shift+F5 to stop. Click on line numbers to toggle breakpoints, right click to run-to-line, hover over variables with the mouse to see their values. Nearly every every UI state persists across sessions, and it opens nearly instantly. This is just one of many situations I've used AI the past month for UI development, and it's been shockingly effective. I can describe roughly the interface I want, and the AI makes it happen in a matter of minutes. It understands what I mean, filling in the details, sometimes anticipating what I'll ask for next. If I'm unsure how I want a UI to work, it also offers good advice. If I need simple icons and such, it can draw those, too. It's all incredibly empowering. On ## Haskell Debugger for GHC 9.14 DevFeed: [Haskell Debugger for GHC 9.14]() Original publisher: [Read original article]() Published: 2026-01-07T00:00:00Z Content type: tutorial Language: en Sources: [Romes' Musings]() Topics: [debugging](), [Haskell](), [Neovim](), [Visual Studio Code](), [Protocol (disambiguation)](), [GitHub Issues]() Tags: [bytecode](), [crashes](), [debugger](), [debugging](), [editor](), [haskell](), [issue](), [performance](), [protocol](), [vscode]() ### AI overview This article announces that the Haskell Debugger is ready for GHC 9.14 and explains how to install it and configure editors through the Debug Adapter Protocol. It covers VSCode and Neovim integration, project-based session configuration, robustness goals, current limitations, and planned callstack and multithreading support. ### Source excerpt This post was first published inline to the Haskell Discourse, where there was some discussion about the debugger: 1 The Haskell Debugger for GHC 9.14 The Haskell Debugger is ready to use with GHC-9.14! The installation, configuration, and talks can be found in the official website. The tl;dr first step is installing the debugger: $ ghc --version # MUST BE GHC 9.14 The Glorious Glasgow Haskell Compilation System, version 9.14.1 $ cabal install haskell-debugger \ --allow-newer=base,time,containers,ghc,ghc-bignum,template-haskell \ --enable-executable-dynamic # ON WINDOWS, DO NOT PASS --enable-executable-dynamic ... $ ~/.local/bin/hdb --version # VERIFY IT'S THE LATEST! Haskell Debugger, version 0.11.0.0 The second step is configuring your editor to use the debugger via the Debug Adapter Protocol (DAP). - For VSCode, install the haskell debugger extension. - For Neovim, install nvim-dap and configure it for haskell-debugger - For other editors, consult your DAP documentation and let others know how! Bug reports and discussions are welcome in the haskell-debugger issue tracker. My MuniHac 2025 talk also walks through the installation, usage, and design of the debugger. Do note much has been improved since the talk was given, and much more will still improve. 1.1 A little bit more info The debugger work is sponsored by Mercury. It's the project in which I've spent most of my full working days (for almost a full year now), with the invaluable help from my team at Well-Typed. The debugger is meant to work both on trivial files and on large and complex codebases1. It is a GHC application so all features are supported. Like HLS, it also uses hie-bios to automatically configure the session based on your cabal or stack project. Robustness is a main goal of the debugger. If anything doesn't work, or if you have performance issues, or something crashes, please don't hesitate to submit a bug. We've got a small but respectable testsuite, and have tested performance by debugging G ## Node.js 24.12.0 (LTS) DevFeed: [Node.js 24.12.0 (LTS)]() Original publisher: [Read original article]() Published: 2025-12-10T16:51:31Z Content type: release Language: en Sources: [Node.js Blog]() Topics: [Node.js](), [JavaScript](), [servers](), [Command-line interface](), [Web](), [cross-platform](), [Open Source](), [Script](), [V8](), [SQLite](), [Python]() Tags: [command-line](), [cross-platform](), [crypto](), [debugger](), [developers](), [free](), [javascript](), [lts](), [node](), [node-js](), [open-source](), [python](), [servers](), [sqlite](), [v8](), [validation](), [web]() ### AI overview Node.js 24.12.0 (LTS) is a release containing minor enhancements and updates across the runtime, including server request optimization, configurable deprecation behavior, stable type stripping, new Node-API and SQLite capabilities, watch configuration, portable compile caching, inspector permissions, CPU profiling, performance improvements, validation fixes, debugger fixes, and dependency updates. ### Source excerpt Node.js® is a free, open-source, cross-platform JavaScript runtime environment that lets developers create servers, web apps, command line tools and scripts. ## Building an AI REPL with QuickJS DevFeed: [Building an AI REPL with QuickJS]() Original publisher: [Read original article]() Author: James Long Published: 2025-11-18T12:00:00Z Content type: opinion Language: en Sources: [James Long]() Topics: [Artificial Intelligence](), [wasm](), [WebAssembly](), [anthropic](), [Claude Code](), [User experience (UX)](), [C](), [debug](), [Error Handling]() Tags: [ai](), [anthropic](), [bytecode](), [c](), [claude-code](), [debugger](), [error-handling](), [github](), [ux](), [webassembly]() ### AI overview The article describes a three-hour experiment building an AI-integrated REPL with a custom WebAssembly build of QuickJS. The system evaluated JavaScript locally, exposed function bytecode and execution controls, and sent failed evaluations to Anthropic's Sonnet 4.5. The author concludes that the approach was not very useful for simple scripts but sees potential in sharing an executing environment with AI and debugger hooks. ### Source excerpt Yesterday I did a livestream where I built a usable REPL with AI integration. Mostly from scratch, all in 3 hours. It uses a custom WASM build of QuickJS for evaluation. If the evaluation fails, it sends the text to Anthropic to speak to Sonnet 4.5. The idea was to meld a live evaluation environment together with AI. By using QuickJS as an evaluator, we get more than just a sandbox: we are able to inspect bytecode of functions, we could pause execution as needed, etc. I thought we might discover use cases that would be difficult to do by sending JS to eval off to a remote sandbox (or a separate node instance). It's also a UX experiment: you can either write code or talk to AI. In the end, it didn't prove to be super useful. The cases where I want to provide deep introspection at runtime to AI are where I'm already working with a very complex codebase, not writing simple scripts. For the UX, I generally want to write code in a dedicated editor and send it off to be evaluated. I still think there's merit in the idea of sharing an executing environment with AI with the debugger hooks enabled; I'm researching companies working on this. Let me know if you know of any. Still, it was fun to give AI the ability to get the bytecode for a function and describe what the function does at a very low-level. I asked to write a function that sums the numbers in an array, and then asked it to get the bytecode and describe it: Some notable things that happened during this: QuickJS doesn't come with a WASM build by default. I told Claude Code to compile it to WebAssembly, and it got Emscripten all setup and successfully built it to WASM Sonnet 4.5 was able to very easily write a bunch of C code to provide new APIs in QuickJS Changing how error handling works, another example of how nice it was to get AI to work with the C code I intended to eventually dig into QuickJS and change some fundamental features but decided to pause this experiment Adding tools is really fun. Here I added a t ## Python in Visual Studio Code - November 2025 Release DevFeed: [Python in Visual Studio Code - November 2025 Release]() Original publisher: [Read original article]() Author: Luciana Abud Published: 2025-11-13T18:41:50Z Content type: release Language: en Sources: [Microsoft Python Engineering]() Topics: [Python](), [Visual Studio Code](), [GitHub Copilot](), [debug](), [modules]() Tags: [copilot](), [debugger](), [developers](), [features](), [github-copilot](), [improvements](), [modules](), [python](), [release](), [visual-studio-code]() ### AI overview The November 2025 release of the Python extension for Visual Studio Code adds Copilot Hover Summaries support for inserting AI-generated documentation as docstrings, localized hover summaries, a Pylance Code Action for converting wildcard imports to explicit imports, and debugger support for multiple project interpreters through the Python Environments Extension. ### Source excerpt The November 2025 release brings new Pylance features including improvements to Copilot Hover Summaries and a Code Action to convert wildcard imports to explicit imports. Keep on reading to learn more! The post Python in Visual Studio Code - November 2025 Release appeared first on Microsoft for Python Developers Blog. ## Book Review - Troubleshooting Java DevFeed: [Book Review - Troubleshooting Java]() Original publisher: [Read original article]() Author: vladmihalcea Published: 2025-10-15T08:28:01Z Content type: opinion Language: en Sources: [Vlad Mihalcea]() Topics: [Java](), [debugging](), [Optimization](), [ide](), [Logging](), [Query (disambiguation)](), [Databases]() Tags: [book](), [book-review](), [code-analysis](), [debugger](), [debugging](), [developer](), [ide](), [java](), [logging](), [optimization](), [performance](), [performance-tuning](), [review](), [sql](), [troubleshooting]() ### AI overview A review of the second edition of Troubleshooting Java by Laurentiu Spilca. The book covers code analysis, logging, debugging, profiling, SQL query investigation, lock monitoring, and deadlock troubleshooting for Java developers. ### Source excerpt Introduction My friend, Laurentiu Spilca, has been working on the second edition of his Troubleshooting Java book, and when I was asked to review it, I was more than happy to do it since the book features a lot of topics that I'm also very interested in, such as performance tuning and query optimization. Audience This book is useful for any Java developer because it teaches you how to get the best out of your IDE debugger, as well as showing you how to profile Java applications and fix very complex issues,... Read More The post Book Review - Troubleshooting Java appeared first on Vlad Mihalcea. ## Node.js 20.19.5 (LTS) DevFeed: [Node.js 20.19.5 (LTS)]() Original publisher: [Read original article]() Published: 2025-09-03T18:23:30Z Content type: release Language: en Sources: [Node.js Blog]() Topics: [Node.js]() Tags: [compression](), [debugger](), [dns](), [node-js](), [security](), [update]() ### AI overview Node.js 20.19.5 LTS release notes covering build, crypto, debugger, dependency, DNS, and documentation changes. ### Source excerpt Node.js® is a free, open-source, cross-platform JavaScript runtime environment that lets developers create servers, web apps, command line tools and scripts. ## Kotlin type aliases versus functional interfaces for debuggable, distinct handler types DevFeed: [Kotlin type aliases versus functional interfaces for debuggable, distinct handler types]() Original publisher: [Read original article]() Author: Matt McKenna Published: 2025-08-28T04:00:22Z Content type: tutorial Language: en Sources: [Matt McKenna]() Topics: [Kotlin](), [interfaces](), [debugging]() Tags: [android](), [code](), [debugger](), [debugging](), [function](), [generic](), [interface](), [interfaces](), [kotlin]() ### AI overview This Kotlin article explains that a type alias for a function type does not create a distinct type, so its name can disappear from debugging and stack traces. It recommends functional interfaces when type identity, discoverability, distinct callbacks, and simple testing fakes are important. ### Source excerpt Our story begins with a clean line of Kotlin: typealias Handler = (result: Result) -> Unit It looks innocent. Give a function type a name and tidy up the signatures, great! Then a bug hits. The Handler is gone in the debugger and in stack traces onl... ## Why LLMs Struggle to Maintain Mental Models in Software Engineering DevFeed: [Why LLMs Struggle to Maintain Mental Models in Software Engineering]() Original publisher: [Read original article]() Author: Conrad Irwin Published: 2025-08-14T00:00:00Z Content type: opinion Language: en Sources: [Zed Industries - Blog]() Topics: [Large Language Model](), [Software Engineering](), [Code](), [context window]() Tags: [code](), [context](), [context-window](), [debugger](), [llms](), [software-engineering](), [tests]() ### AI overview The article argues that effective software engineering depends on building and maintaining clear mental models of requirements and code, not merely writing code. It says current LLMs can generate code and perform supporting tasks, but often become confused when tests fail or when they must decide whether to change the code or the tests. The author suggests that improving this may require models with better ways to manage context and reason about problems. ### Source excerpt Writing code is only one part of effective software engineering. ## Python 3.14 release candidate 1 is go! DevFeed: [Python 3.14 release candidate 1 is go!]() Original publisher: [Read original article]() Author: Hugo van Kemenade Published: 2025-07-22T00:00:00Z Content type: release Language: en Sources: [Python Insider]() Topics: [Python 3.14](), [Python](), [Compression](), [debug](), [Syntax Highlighting]() Tags: [2025](), [bug-fixes](), [compression](), [debugger](), [maintainers](), [production](), [pypi](), [python](), [python-3-14](), [release](), [releases](), [testing]() ### AI overview The article announces Python 3.14.0rc1, the first release candidate and penultimate preview before the planned final release on October 7, 2025. It asks maintainers of third-party projects to test compatibility and publish Python 3.14 wheels on PyPI, while warning that the preview is not recommended for production use. It also highlights major changes including officially supported free-threaded Python, deferred annotation evaluation, template string literals, multiple interpreters, Zstandard compression support, improved syntax highlighting, an external debugger interface, faster UUID generation, and C API improvements. ### Source excerpt It's the first 3.14 release candidate! https://www.python.org/downloads/release/python-3140rc1/ This is the first release candidate of Python 3.14 This relea... ## Python 3.14.0 beta 4 is here! DevFeed: [Python 3.14.0 beta 4 is here!]() Original publisher: [Read original article]() Author: Hugo van Kemenade Published: 2025-07-08T00:00:00Z Content type: release Language: en Sources: [Python Insider]() Topics: [releases](), [Syntax Highlighting]() Tags: [api](), [bug](), [building](), [c](), [compression](), [debugger](), [development](), [performance](), [production](), [python](), [python-3-14](), [release](), [releases](), [testing]() ### AI overview Python 3.14.0 beta 4 is the final planned beta preview. The release asks third-party maintainers to test compatibility and outlines major 3.14 features, while cautioning against production use. ### Source excerpt It's the final 3.14 beta! https://www.python.org/downloads/release/python-3140b4/ This is a beta preview of Python 3.14 Python 3.14 is still in development. ... [Next page]()