# debug The process of finding bugs in computer programs. 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 [...] ## Raspberry Pi accessories for faster setup, debugging, and managing USB power DevFeed: [Raspberry Pi accessories for faster setup, debugging, and managing USB power]() Original publisher: [Read original article]() Author: Patrick Fromaget Published: 2026-09-16T05:00:00Z Content type: article Language: en Sources: [RaspberryTips]() Topics: [Raspberry Pi](), [USB](), [debug](), [hdmi]() Tags: [accessories](), [debug](), [install](), [kvm](), [network](), [pi-4](), [quick-tips](), [raspberry-pi](), [usb]() ### AI overview The article recommends Raspberry Pi accessories that the author finds useful in daily testing, including a KVM device for viewing and controlling the Pi from a laptop during setup and debugging, and a powered USB switch to address power issues with multiple accessories. ### Source excerpt I've tested so many accessories for RaspberryTips over the years that my closets and drawers are full of things I never use. But I also have a few ones that rarely leave my desk. They are essentials to my daily tests with Raspberry Pis. If you are looking for your next gadget, here are some... ## Give every teammate and agent the right level of access to your Workers DevFeed: [Give every teammate and agent the right level of access to your Workers]() Original publisher: [Read original article]() Author: Visal In Published: 2026-09-15T13:00:00Z Content type: release Language: en Sources: [Cloudflare Blog]() Topics: [Workers](), [Authorization](), [Developer Platform](), [debug]() Tags: [agent](), [api](), [cloudflare](), [debug](), [developer](), [developer-platform](), [developers](), [identity](), [least-privilege](), [logs](), [metrics](), [monitor](), [product-news](), [scope](), [security](), [traces](), [workers](), [workflows]() ### AI overview Cloudflare now lets teams scope access to individual Workers and assign narrower Developer Platform roles. Teammates, CI tokens, and agents can receive only the permissions needed to debug, deploy, or monitor safely. ### Source excerpt You can now scope access to individual Workers and assign narrower Developer Platform roles, so teammates, CI tokens, and agents get only the access they need to debug, deploy, or monitor safely. ## 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. ## Debug Past an HTTP 403 Without Breaking Spring Security DevFeed: [Debug Past an HTTP 403 Without Breaking Spring Security]() Original publisher: [Read original article]() Author: Andrey Belyaev Published: 2026-09-08T12:34:18Z Content type: tutorial Language: en Sources: [The JetBrains Blog]() Topics: [debug](), [Authorization](), [IntelliJ IDEA](), [ide]() Tags: [debug](), [features](), [http](), [intellij-idea](), [security](), [spring](), [spring-debugger](), [tutorials]() ### AI overview The article explains how IntelliJ IDEA security inlays help debug Spring endpoints blocked by HTTP 403, 401, or login redirects. It covers inspecting runtime role requirements and temporarily unlocking an endpoint for a debug session, with a warning that unlocking affects all clients reaching that URI and method. ### Source excerpt You set a breakpoint inside a Spring MVC controller, or a service, send the request to an HTTP endpoint, and nothing happens. The response is back - and it is a 403 (or 401, or a redirect to a login page). At that point, the bug you were trying to catch is no longer the [...] ## The case of the progress callback that never got called when progress happened DevFeed: [The case of the progress callback that never got called when progress happened]() Original publisher: [Read original article]() Author: Raymond Chen Published: 2026-09-03T14:00:00Z Content type: article Language: en Sources: [Raymond Chen]() Topics: [debugging](), [C#](), [debug](), [Code]() Tags: [breakpoint](), [c-plus-plus](), [c-sharp](), [code](), [debugging](), [handler](), [old-new-thing](), [providers]() ### AI overview A progress callback is never invoked because an intermediary method returns its own operation without forwarding progress reports from the provider's underlying operation. The suggested fix is to return the provider's operation directly so callers can attach to its progress. ### Source excerpt Are you talking to the right guy? The post The case of the progress callback that never got called when progress happened appeared first on The Old New Thing. ## The Modern CUDA Toolbox in Practice: A Step-by-Step Optimization Walkthrough DevFeed: [The Modern CUDA Toolbox in Practice: A Step-by-Step Optimization Walkthrough]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-09-02T17:15:57Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [CUDA](), [Optimization](), [GPU](), [toolchain](), [debug](), [Instrumentation](), [Algorithms]() Tags: [algorithms](), [benchmark](), [cuda](), [debug](), [developer-tools-techniques](), [gpu](), [how-to](), [image-processing](), [instrumentation](), [memory](), [optimization]() ### AI overview A step-by-step CUDA optimization walkthrough that improves an image-processing pipeline with debugging, benchmarking, optimized algorithms, GPU memory management, pinned transfers, streams, and asynchronous transfers. ### Source excerpt NVIDIA CUDA remains the foundation of GPU-accelerated computing, powering everything from scientific simulations to large-scale AI training. But writing... ## 150,000 Commits Later -- Zephyr Podcast #048 DevFeed: [150,000 Commits Later -- Zephyr Podcast #048]() Original publisher: [Read original article]() Author: Benjamin Cabé Published: 2026-08-28T15:10:59Z Content type: news Language: en Sources: [Zephyr Project]() Topics: [Code](), [ci](), [debug](), [qemu](), [ESP32](), [Raspberry Pi](), [Arduino]() Tags: [arduino](), [blog](), [ci](), [code](), [debug](), [esp32](), [podcast](), [qemu](), [raspberry-pi](), [zephyr]() ### AI overview Zephyr Podcast #048 covers the project's main branch reaching 150,000 commits, increased pull-request merging in August, a trial merge-batch workflow, and new or updated hardware, driver, testing, and QEMU support. It also discusses a custom debug adapter and an I2C register-set library. ### Source excerpt Pre-orders open for the Arduino VENTUNO Q, and what $300 actually buys you 150,000 commits in main, and 1,455 PRs merged in August against 700 a year ago Create your... ## Why we removed AI solutions from Flare DevFeed: [Why we removed AI solutions from Flare]() Original publisher: [Read original article]() Author: Freek Van der Herten (freek@spatie.be) Published: 2026-08-13T10:30:30Z Content type: article Language: en Sources: [freek.dev - all blogposts]() Topics: [debug](), [AI-assisted coding](), [MCP Server](), [Command-line interface](), [Documentation]() Tags: [agent](), [agents](), [ai](), [cli](), [coding-agents](), [debug](), [debugging](), [developers](), [docs](), [flare](), [mcp](), [mcp-server](), [workflow]() ### AI overview The article explains why Flare removed its former AI-generated solutions and replaced them with a workflow for debugging with modern coding agents. The new workflow uses an MCP server, CLI, Copy for AI prompts, and agent-friendly documentation. ### Source excerpt We explain why Flare's old AI-generated solutions no longer fit the way developers debug with modern coding agents. The replacement is a better workflow built around the MCP server, CLI, Copy for AI prompts, and agent-friendly docs. Read more ## 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?!? ## jetc.dev Newsletter Issue #325 DevFeed: [jetc.dev Newsletter Issue #325]() Original publisher: [Read original article]() Author: CommonsWare Published: 2026-08-04T14:00:00Z Content type: article Language: en Sources: [jetc.dev | Issues]() Topics: [Jetpack Compose](), [releases](), [debug](), [Memory Leaks](), [multiplatform]() Tags: [2026](), [agents](), [compose](), [compose-multiplatform](), [debugging](), [dev](), [jetbrains](), [memory-leaks](), [multiplatform](), [published](), [remote]() ### AI overview jetc.dev Newsletter Issue #325 reviews recent Jetpack Compose releases and related artifacts, including BOM, Material3, Remote Compose, and Wear Compose updates. It also covers the five-year anniversary of Compose 1.0, composition debugging research, Compose Multiplatform content, and a reported memory leak in a Compose for Desktop design system. ### Source excerpt Compose 1.0 five-year anniversary! 1.12.0 RC! Memory leaks! Remote Compose for debugging! And... have you been through the desert with a state with no name?!? ## Maestro CLI 2.7.0: debug failing Cloud runs with your AI agent DevFeed: [Maestro CLI 2.7.0: debug failing Cloud runs with your AI agent]() Original publisher: [Read original article]() Author: Manu Armani Published: 2026-07-27T09:00:00Z Content type: release Language: en Sources: [mobile.dev - Medium]() Topics: [Command-line interface](), [AI Agent](), [Cloud](), [debug](), [Android](), [iOS](), [Web]() Tags: [ai-agent](), [android](), [cli](), [cloud](), [debug](), [ios](), [maestro](), [mcp](), [release](), [web]() ### AI overview Maestro CLI 2.7.0 adds an MCP tool that lets AI agents investigate failed Cloud runs by retrieving recordings, logs, artifacts, and view hierarchies, then explaining likely root causes and proposing fixes. The release also introduces redesigned per-flow debug bundles and reliability improvements across iOS, Android, and Web. ### Source excerpt In Maestro CLI 2.7.0, your AI agent can debug a failed Cloud run on its own. Plus a redesigned per-flow debug bundle and a broad wave of iOS, Android, and Web reliability fixes. ## RAG debugging guide: fast ways to reduce retrieval errors DevFeed: [RAG debugging guide: fast ways to reduce retrieval errors]() Original publisher: [Read original article]() Author: Jeff Mills Published: 2026-07-21T00:00:00Z Content type: tutorial Language: en Sources: [Redis Blog]() Topics: [Retrieval Augmented Generation (RAG)](), [debug](), [Monitoring](), [AI search](), [Latency](), [Traces]() Tags: [debugging](), [docs](), [embedding](), [errors](), [guide](), [latency](), [logs](), [monitoring](), [rag](), [retrieval](), [tech-de](), [traces](), [vector]() ### AI overview A practical guide to diagnosing five common production RAG failures across retrieval, ranking, grounding, freshness, and latency. It explains how chunking, vocabulary mismatch, monitoring, logs, and traces can reveal why a system returns confidently incorrect answers. ### Source excerpt Your RAG-backed support assistant just told a customer the refund window is 30 days. It's 14. The retrieval logs look clean: chunks came back, latency was normal, nothing errored. That's what makes RAG failures slippery. The pipeline still returns an ... ## Android Studio Quail 2 is Stable: Multi-task with the Android Studio AI agent DevFeed: [Android Studio Quail 2 is Stable: Multi-task with the Android Studio AI agent]() Original publisher: [Read original article]() Author: Android Developers (noreply@blogger.com) Published: 2026-07-14T11:00:00Z Content type: release Language: en Sources: [Android Developers Blog]() Topics: [Android Studio](), [AI Agent](), [Memory Leaks](), [debug]() Tags: [agentic](), [ai-agent](), [android-studio](), [memory-leak](), [profiling]() ### AI overview Android Studio Quail 2 is presented as a stable release with parallel Agent Mode chats, concurrent agentic workflows, native LeakCanary integration in the Profiler, and Agent Mode integration with App Quality Insights for crash analysis. ### Source excerpt Posted by Amman Asfaw, Product Manager, Android Studio Android Studio Quail 2 is now stable and ready for you to use in production, bringing a shift to your IDE with concurrent agentic workflows, natively integrated memory leak profiling, and context-aware crash remediation. Whether you are performing a sweeping architectural overhaul, tracing a memory leak, or resolving a critical production crash, Android Studio keeps you anchored in your workspace by reducing manual friction. Here's a deep dive into what's new: Multi-tasking with parallel chats In Android Studio Quail 2, we've been hard at work redesigning Agent Mode from the ground up. This new architecture provides better performance, offers more flexibility for decomposing complex tasks, and improves the suite of internal tools the agent uses to do its work. In addition to these behind-the-scenes improvements, these changes also allow you to converse across multiple agent chats simultaneously. Waiting for the Android Studio agent to finish a task before you can ask another question or initiate a separate task in Agent Mode is a bottleneck of the past. You can multi-task seamlessly: kick off a UI refactor in one tab, fix a ProGuard rule in a second, and generate documentation in a third. You can also change which models the agent uses from chat to chat based on the requests you have. Take a look at Android Bench for an analysis of how LLMs perform Android development tasks. How to use: Click the "+" icon to start a new parallel conversation, and use the History icon to navigate between active tasks. Alternatively, select File > New > New Agent Tab to open a conversation in a dedicated tab. Note: Worktree support is currently unavailable. Exercise caution when running concurrent chats that modify the same project files, which can potentially lead to editor conflicts. Run multiple agent tasks in parallel with different models of your choice. Use the History icon to navigate between active tasks. Memory leak detec ## Agent Runs now show subagent activity on eve projects DevFeed: [Agent Runs now show subagent activity on eve projects]() Original publisher: [Read original article]() Author: John Phamous Published: 2026-07-13T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Vercel](), [dashboards](), [debug](), [Template]() Tags: [agent](), [cost](), [debug](), [documentation](), [projects](), [tool](), [vercel]() ### AI overview Vercel Agent Runs now provides a Subagents tab for eve projects. It displays each subagent on a shared timeline with its prompt, duration, failures, turns, tool calls, metadata, cost, and token usage. ### Source excerpt You can now inspect subagent activity for eve projects in Agent Runs. The new Subagents tab shows every subagent, organized by which turn started it. Each row shows the prompt, duration, and any failures, all on a shared timeline. Click any subagent to open its run. The tab shows the same details as a parent run: turns, tool calls, metadata, cost, and token usage. Open Agent Runs to try it, or read the documentation to learn more. Read more ## Announcing Meta Social Technologies MCP for exploring and debugging Meta app integrations DevFeed: [Announcing Meta Social Technologies MCP for exploring and debugging Meta app integrations]() Original publisher: [Read original article]() Published: 2026-06-30T15:01:00Z Content type: release Language: en Sources: [Facebook Developers]() Topics: [Model Context Protocol](), [Meta](), [AI Agent](), [Developer Platform](), [debug](), [API](), [App]() Tags: [agent](), [apis](), [availability](), [debug](), [developer](), [mcp](), [meta]() ### AI overview Meta Social Technologies MCP connects AI coding agents such as Claude, Cursor, Codex, and ChatGPT to Meta's developer platform. It helps developers find Graph API endpoints, resolve API errors, inspect app configuration and health, monitor compliance requirements, and troubleshoot webhook subscriptions from their existing editor. ### Source excerpt Connect your AI coding agent to the Meta developer platform with Meta Social Technologies MCP-- discover APIs, fix errors, check app health and compliance, right in your editor. ## Debug and evaluate your AI app from your coding agent with Datadog Agent Observability DevFeed: [Debug and evaluate your AI app from your coding agent with Datadog Agent Observability]() Original publisher: [Read original article]() Author: Michael Bevilacqua-Linn; Till W; Tanguy Renaudie; Mehul Sonowal; Gabriele Lorenzo; Alex Barksdale Published: 2026-06-30T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [agent observability](), [AI-assisted coding](), [AI Engineering](), [observability](), [MCP](), [MCP Server](), [Command-line interface](), [LLM evaluation / benchmarking](), [datasets](), [Traces](), [debug](), [experiments]() Tags: [agent-observability](), [agent-skills](), [agents](), [ai](), [ai-engineering](), [ai-observability](), [analysis](), [api](), [claude](), [claude-code](), [cli](), [code](), [codex](), [coding](), [command-line](), [cursor](), [datasets](), [debug](), [eval](), [how-to](), [observability]() ### AI overview This article explains how to use Datadog Agent Observability from coding agents such as Claude Code, Cursor, and Codex CLI. It presents the Datadog MCP Server, Pup CLI, and Agent Skills as ways to access traces, evaluation results, experiment metrics, and other telemetry for classifying sessions, debugging production failures, creating evaluation datasets, and generating fixes. ### Source excerpt Learn how to give your coding agent access to Datadog Agent Observability data to classify failures, run RCA, bootstrap evaluators, and generate fixes. ## Workflow SDK now runs natively in Nitro v3 DevFeed: [Workflow SDK now runs natively in Nitro v3]() Original publisher: [Read original article]() Author: Rihan Arfan Published: 2026-06-13T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [SDKs](), [Web](), [debug](), [monitor](), [browser]() Tags: [browser](), [code](), [debug](), [dev](), [monitor](), [sdk](), [web](), [workflow]() ### AI overview Workflow SDK now has a beta native integration with Nitro v3. Workflow steps run in the same bundled runtime as the application, can use Nitro server-side APIs and storage directly, and are served with a workflow web UI for inspecting, monitoring, and debugging runs. Nitro also bundles workflow routes, traces dependencies, tree-shakes unused code, and produces faster builds with smaller bundles. ### Source excerpt Workflow SDK's native Nitro v3 integration is now in beta. Steps run inside the same bundled runtime as the rest of your app, instead of a separate bundle. Nitro's useStorage() and other server-side APIs work directly inside "use step" functions. The Nitro dev server also serves the workflow web UI at /_workflow. Open it in your browser to inspect, monitor, and debug workflow runs. Workflow routes are now bundled by Nitro as part of the app build. Dependencies are traced, and unused code is tree-shaken, so the output includes only what runs, with faster builds and smaller bundles. Get started with Workflow SDK on Nitro. Read more ## strace-ui, Bonsai\_term, and the TUI renaissance DevFeed: [strace-ui, Bonsai\_term, and the TUI renaissance]() Original publisher: [Read original article]() Author: James Somers Published: 2026-05-26T00:00:00Z Content type: article Language: en Sources: [Jane Street]() Topics: [Text-based user interface](), [Terminal](), [debug](), [tracing](), [OCaml](), [reactive](), [Bonsai](), [Library]() Tags: [debugging](), [framework](), [functional](), [library](), [ocaml](), [reactive](), [terminal](), [threads](), [trace](), [ui]() ### AI overview The article introduces strace-ui, an interactive terminal UI that makes strace output easier to inspect by formatting data, assigning short identifiers to processes and threads, and supporting interactive filtering and navigation. It also discusses how OCaml and the Bonsai framework have made interactive terminal UI development more practical. ### Source excerpt We've always found strace useful but somewhat hard to work with. Its output is often inscrutable, it's hard to follow subprocesses or threads, and if you want to filter syscalls you have to rerun the trace with a flag for each one. What you want in debugging is a tool for exploring, refining, etc., but strace can make this difficult. ## Why cURL is a practical debugger for HTTP problems DevFeed: [Why cURL is a practical debugger for HTTP problems]() Original publisher: [Read original article]() Author: fidelitas.io Published: 2026-05-17T08:15:00Z Content type: opinion Language: en Sources: [fidelitas.io]() Topics: [cURL](), [debug](), [Command-line interface](), [Unix]() Tags: [curl](), [debugging](), [headers](), [http](), [tooling](), [unix]() ### AI overview This opinionated developer article argues that cURL is especially useful for debugging HTTP problems in production and remote environments where graphical clients may be unavailable. It contrasts cURL's debugging role with GUI clients' strengths in exploration, sharing, onboarding, and code generation, and introduces commonly useful command-line flags. ### Source excerpt Postman is great. Insomnia is great. But the moment something goes wrong in production, the tool I reach for first is the one that's been on every Unix box since 1996. ## Protected Source Maps: Ship browser source maps securely DevFeed: [Protected Source Maps: Ship browser source maps securely]() Original publisher: [Read original article]() Author: z0oks Published: 2026-05-14T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Vercel](), [Authentication](), [debug](), [Deployment](), [Code]() Tags: [authentication](), [browser](), [code](), [debug](), [deployment](), [documentation](), [learn](), [production](), [source](), [vercel]() ### AI overview Vercel's Protected Source Maps restrict access to production browser source maps through Vercel Authentication. Team members can retrieve the maps for readable stack traces and original source files, while other users receive a 404. The feature is enabled by default for new projects, and existing projects can enable it in Deployment Protection settings without redeploying. ### Source excerpt You can now restrict access to production source maps with Protected Source Maps, which puts browser .map files behind Vercel Authentication. Your team can fetch them; everyone else gets a 404. Source maps are how you debug minified production code. They give you readable stack traces and your original source code, with the real filenames and line numbers intact. New projects have Protected Source Maps enabled by default. Existing projects can opt in from Settings -> Deployment Protection, with no redeploy needed. Learn more in the documentation. Read more ## ESP-IDF Extension for VS Code: What's New in v2.1.0 DevFeed: [ESP-IDF Extension for VS Code: What's New in v2.1.0]() Original publisher: [Read original article]() Author: John Lee Published: 2026-05-08T00:00:00Z Content type: release Language: en Sources: [Blog on Developer Portal]() Topics: [ESP-IDF Extension for vs Code](), [VS Code Extension](), [Visual Studio Code](), [Espressif](), [releases](), [Developer experience](), [debug]() Tags: [ai](), [blog](), [debugging](), [eim](), [esp-idf](), [esp-idf-extension-for-vs-code](), [esp-idf-tool](), [espressif](), [improvements](), [installation](), [integration](), [release](), [v1](), [vs-code]() ### AI overview This article reviews releases v1.10.0 through v2.1.0 of the ESP-IDF Extension for VS Code. It highlights integration with the cross-platform Espressif Installation Manager, automatic discovery of installed ESP-IDF versions, GUI and terminal installation flows, improved debugging, AI-assisted workflows, and a refreshed native UI. ### Source excerpt A look at the Espressif Installation Manager (EIM) integration in the ESP-IDF Extension for VS Code, and a roundup of all major improvements across v1.10.x, v1.11.x, v2.0.2, and v2.1.0. [Next page]()