# debug Published articles for debug. 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... ## CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding) DevFeed: [CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding)]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-16T00:00:55Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Artificial Intelligence](), [Embedded Systems](), [AI Inference](), [V](), [Arm](), [cpu](), [Open Source](), [Ethernet](), [Linux](), [Toit]() Tags: [ai](), [arm](), [artificial-intelligence-ai](), [camera](), [computer-vision](), [cpu](), [debug](), [edge-ai](), [embedded](), [ethernet](), [hardware](), [inference](), [kickstarter](), [linux](), [module](), [open-source](), [real-time](), [risc-v](), [robotics](), [rt-thread](), [soc](), [sophgo](), [tinyml](), [usb](), [video](), [vision]() ### AI overview The AIMORELOGY Ovis is an open-source modular AI vision camera built around the CVITEK CV1842H-P SoC. It provides full-color 1080p night vision, 1.5 TOPS edge AI inference, USB and Ethernet connectivity, and a dual-OS environment using Linux and RT-Thread. ### Source excerpt The AIMORELOGY Ovis is an open-source AI vision camera module built around the CVITEK CV1842H-P SoC, with full-color 1080p night vision and 1.5 TOPS edge AI inference in a compact modular design. It is designed for drones, robotics, security systems, smart cameras, and custom embedded vision products. The camera features a compact stacked design, with a 20 x 20 mm Core board that includes the CVITEK CV1842H-P SoC, 2 Gbit NAND flash, USB, and UART debug pads. A Sensor board with the SC235HAI image sensor connects on top and also adds Ethernet and UART interfaces. An optional CVBS board goes between the Sensor board and the Ovis Core board. AIMORELOGY Ovis specifications: Ovis Core Board SoC - CVITEK CV1842H-P CPU - 1x Arm Cortex-A53 core @ 1.1 GHz, 1x RISC-V C906 core @ 800 MHz NPU - 1.5 TOPS @ INT8 with BF16 support ISP - AI-ISP with real-time 1080p [...] The post CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding) appeared first on CNX Software - Embedded Systems News. ## 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. ## 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. ## The Evolution of WSL Support in JetBrains IDEs DevFeed: [The Evolution of WSL Support in JetBrains IDEs]() Original publisher: [Read original article]() Author: Kristina Pchelintseva Published: 2026-09-09T10:39:49Z Content type: article Language: en Sources: [The JetBrains Blog]() Topics: [IntelliJ IDEA](), [Processes]() Tags: [2026-2](), [architecture](), [debug](), [ecosystem](), [engineering](), [ide](), [idea](), [intellij-idea](), [intellij-platform](), [linux](), [phpstorm](), [remote-development](), [support](), [webstorm](), [windows](), [wsl]() ### AI overview JetBrains describes its evolution of WSL integration and recommends Native mode from version 2026.2. In this mode, supported IDEs remain Windows applications while an agent in WSL handles project files and processes. ### Source excerpt JetBrains IDEs have worked with WSL for many years, and over time, several ways of using it have emerged across our products. Depending on the entry point, the IDE could rely on a different underlying architecture, leading to a different experience. Starting with the 2026.2 release, there is one recommended entry point. In IntelliJ IDEA, [...] ## 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 [...] ## Build and run Datadog workflows from Bits Chat or AI agents DevFeed: [Build and run Datadog workflows from Bits Chat or AI agents]() Original publisher: [Read original article]() Author: Neha Haresh; Gabriel Margolis; Brianna Wang; David Robert-Ansart Published: 2026-09-03T00:00:00Z Content type: tutorial Language: en Sources: [Datadog | The Monitor blog]() Topics: [AI Bots](), [cursor](), [incident]() Tags: [ai](), [ai-agents](), [ai-coding](), [bits-ai](), [claude-code](), [codex](), [cursor](), [debug](), [incident-management](), [mcp](), [workflow-automation](), [workflows]() ### AI overview Datadog describes using Bits Chat and AI coding agents to create, run, and debug automated workflows with Datadog and development context. ### Source excerpt Build, debug, and run Datadog workflows from Bits Chat and AI coding agents using the operational and development context where you're working. ## 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... ## 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. ## How to evaluate session replay software: a developer's guide DevFeed: [How to evaluate session replay software: a developer's guide]() Original publisher: [Read original article]() Author: Lindsay Piper Published: 2026-08-26T09:00:00Z Content type: tutorial Language: en Sources: [Sentry Blog]() Topics: [session replay](), [Playback](), [sensitive data](), [debugging](), [Mobile]() Tags: [debug](), [debugging](), [developer](), [engineering](), [guide](), [libraries](), [monitoring](), [mutation](), [playback](), [privacy](), [sdk](), [sensitive-data](), [session-replay](), [tool](), [ux]() ### AI overview A developer guide to evaluating session replay software by comparing recording methods, privacy architecture, error-monitoring integration, overhead, AI debugging compatibility, and mobile support. It distinguishes UX analytics tools from developer debugging tools and explains the tradeoffs between DOM snapshot recording and pixel capture. ### Source excerpt Compare session replay tools on recording methodology, privacy architecture, integration depth, overhead, AI-readability, and mobile support ## Always-on tracing for production and preview traffic DevFeed: [Always-on tracing for production and preview traffic]() Original publisher: [Read original article]() Author: wits Published: 2026-08-21T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [tracing](), [Traces](), [Vercel](), [Command-line interface](), [telemetry]() Tags: [cli](), [debug](), [infrastructure](), [logs](), [traces](), [tracing](), [vercel]() ### AI overview Vercel introduces always-on tracing for production and preview traffic, allowing teams to debug real user requests through continuously collected, sampled traces. Sampling rules control collection by environment and path, with CLI management, automatic infrastructure and outbound fetch spans, optional framework and custom instrumentation through @vercel/otel, and trace viewing in Logs or via the CLI. ### Source excerpt With always-on tracing, you can now debug your real user requests without reproducing them. Always-on tracing continuously collects traces from your production and preview traffic. Unlike session tracing, which only captures requests from your own browser, it samples your live traffic. You control what's collected with sampling rules. Each rule sets a trace rate for an environment (All, Production, or Preview), optionally scoped to a path prefix like /checkout. Nothing is collected until you add a rule, so you pay only for what you choose to trace. You can also manage sampling rules from the CLI. vercel traces config set adds a rule, or changes the rate of an existing one when you run it again with the same environment and path prefix: Infrastructure and outbound fetch spans are captured automatically. To add framework and custom spans, instrument your app with @vercel/otel. To view a trace, open the Logs or run vercel traces get . Always-on tracing is is now in beta and available to teams on all plans. Tracing is priced at $0.50 per 1M span units. Traces follow your runtime log retention: 1 hour on Hobby, 1 day on Pro and 3 days on Enterprise. Get started by adding a rule in Settings -> Tracing or from the settings icon in Logs. Learn more in the documentation. Read more ## New in Confluent Cloud and WarpStream: Evolving the Data Streaming Platform for AI, Scale, and Control DevFeed: [New in Confluent Cloud and WarpStream: Evolving the Data Streaming Platform for AI, Scale, and Control]() Original publisher: [Read original article]() Author: Mike Agnich Published: 2026-08-18T14:00:11Z Content type: article Language: en Sources: [Confluent: Data in motion]() Topics: [Streaming](), [Kafka](), [Cloud](), [event driven](), [Transactions]() Tags: [confluent](), [confluent-cloud](), [debug](), [kafka](), [networking](), [security](), [stream-processing](), [streaming](), [transactions]() ### AI overview Confluent describes more than 70 new features for its data streaming platform, including new connectors, networking improvements, AI capabilities for event-driven agents, real-time machine learning in streaming pipelines, and AI-assisted development tools. The article also discusses broader Kafka workload support, including stream processing, transactions, exactly-once processing, queues, debugging, and Python client support for Queues for Kafka. ### Source excerpt Accelerate enterprise streaming and AI workloads with new product updates across Kora, connectors, Flink, Tableflow, AI anomaly detection and forecasting, security enhancements, and Warpstream. ## Exploring the BGP Neighbor CONNECT State DevFeed: [Exploring the BGP Neighbor CONNECT State]() Original publisher: [Read original article]() Published: 2026-08-18T05:16:00Z Content type: article Language: en Sources: [ipSpace.net blog]() Topics: [BGP](), [networking](), [Finite-state machine](), [Routing (disambiguation)]() Tags: [bgp](), [blog-post](), [debug](), [routing]() ### AI overview An exploration of how Cisco IOS/XE presents the BGP neighbor CONNECT state during an incoming TCP session. The article tests several lab scenarios involving passive neighbors, static discard routes, ACLs, and suppressed ICMP unreachable messages, finding that CONNECT appears in BGP debugging output while the neighbor remains Idle in the displayed operational state. ### Source excerpt Sakar left an interesting comment on my The Curious Case of the BGP Connect State blog post, claiming that Cisco IOS/XE goes through a CONNECT state when opening an incoming BGP session. I wanted to double-check this behavior, so I needed a scenario where one router would keep sending TCP SYN requests, the other would not (or we wouldn't learn anything), and the two routers could not communicate (or they'd quickly go into the OPEN state). Here's my first attempt at meeting those requirements: Read more ... ## The Vercel Sandbox CLI is now more agent-friendly DevFeed: [The Vercel Sandbox CLI is now more agent-friendly]() Original publisher: [Read original article]() Author: Elisabeth Rülke Published: 2026-08-18T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Command-line interface](), [Vercel](), [Tooling]() Tags: [cli](), [debug](), [errors](), [update](), [vercel]() ### AI overview The Vercel Sandbox CLI version 4.0.1 adds four improvements: clearer connection guidance for new sandboxes, actionable errors for missing sandboxes, corrections for misused commands, and update notices for outdated installations. ### Source excerpt The Sandbox CLI version 4.0.1 ships four output and error improvements: New sandboxes point users towards how to connect into them. A sandbox not found error shows where to look for existing sandboxes. Common mistakes, like typing a command after sh, redirect to the command that was intended. Outdated installs show an update notice when they create a new sandbox. Each of these messages now carries the action to take next instead of leaving you to work it out. New sandboxes tell you how to connect create and fork output now ends with a connect hint, so a fresh sandbox never leaves you wondering what to type next. Not found errors point you to your sandboxes When a command references a sandbox that does not exist, the error is quiet and actionable instead of a raw API dump. Setting DEBUG=sandbox:errors restores the request detail for debugging. A misused command explains the right one sh opens a plain interactive shell, so it takes no command of its own. The CLI can now return precise answers that rewrite the attempt into the command that does what you meant, whatever the command is. Outdated installs warn you at creation time create, sh, and run check for a newer published CLI and print an update notice when the install is behind. The check is cached to a file and refreshed at most once per hour; when a lookup does run it happens concurrently with the creation request, so it adds no latency. Creation defaults, such as the base image, are chosen client side, so an outdated global install silently keeps old defaults. Prerelease versions skip the check, and SANDBOX_SKIP_VERSION_CHECK=1 disables it. Learn more in the Sandbox CLI documentation. Read more ## 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 ## Supabase is now a connector on Perplexity Computer DevFeed: [Supabase is now a connector on Perplexity Computer]() Original publisher: [Read original article]() Author: Natalie Roberge Published: 2026-08-07T07:00:00Z Content type: news Language: en Sources: [Supabase Blog]() Topics: [Supabase](), [data](), [Databases](), [GitHub](), [payload]() Tags: [agent](), [apps](), [data](), [debug](), [github](), [payload](), [postgres](), [slack](), [stripe](), [vercel]() ### AI overview Supabase is available as a connector on Perplexity Computer, allowing the agent to query and update Postgres data, invoke Edge Functions, schedule recurring queries, and connect workflows across services such as GitHub, Stripe, Slack, and Vercel. ### Source excerpt Supabase is now a connector on Perplexity Computer. Query your Postgres data, look up users, and invoke Edge Functions from a Perplexity chat. ## osmo-remsim - osmo-remsim 1.2.0 released DevFeed: [osmo-remsim - osmo-remsim 1.2.0 released]() Original publisher: [Read original article]() Author: lynxis Published: 2026-08-05T16:54:21Z Content type: release Language: en Sources: [Open Source Mobile Communications: News]() Topics: [bug](), [Concurrency](), [log management]() Tags: [bug](), [bug-fixes](), [client](), [crash](), [csv](), [deadlock](), [debug](), [issue](), [logging](), [mutex](), [tracker]() ### AI overview osmo-remsim 1.2.0 is a release containing stability and bug fixes across bankd, remsim-client, remsim-bankd, and related ASN.1 and logging code. The fixes address invalid CSV and TPDU handling, crashes, memory leaks, race conditions, signal handling, slot mapping, byte order, and a logging mutex deadlock. ### Source excerpt 1.2.0 contains stability fixes and bug fixes. [ Alexander Couzens ] * bankd: csv: fix crash on invalid lines * bankd: csv: fail on invalid csv lines * rspro_server: don't access the msg on error cases * rspro_util: asn1 decode: fix memleak when decoding fails * asn1: ber_decoder: disable stack size check on ctx = NULL * asn1: move asn_debug into librspro * Remove unconditional assignment of asn_debug = 0 * rspro_server: use correct byte order in log message "Bankd IP/Port changed to : [ Andreas Eversberg ] * Fix: Remove slot mapping at bankd when client disconnects * Fix: Prevent race conditions when accessing slotmap in bankd * Fix: Prevent bankd from exiting upon SIGPIPE * Fix unhandled (un)mapping events [ Harald Welte ] * remsim-client: Don't attempt to pass on illegal TPDU length * remsim-bankd: Don't pass on illegal TPDUs of illegal length * bankd: Avoid osmocom logging mutex deadlock in signal handling ## Instrumenting my espresso machine with OpenTelemetry DevFeed: [Instrumenting my espresso machine with OpenTelemetry]() Original publisher: [Read original article]() Author: Jordan Simonovski Published: 2026-07-29T13:37:44Z Content type: tutorial Language: en Sources: [ClickHouse Blog]() Topics: [telemetry](), [session replay]() Tags: [agent](), [clickhouse](), [cloud](), [debug](), [distributed-systems](), [llm](), [logs](), [metrics](), [observability](), [open-source](), [opentelemetry](), [session-replay](), [storage](), [telemetry](), [traces]() ### AI overview A tutorial on instrumenting a Gaggia espresso machine's ESP32 controller with OpenTelemetry, sending telemetry to ClickHouse Cloud, and using ClickStack to query shot and sensor data. ### Source excerpt Treating a Gaggia espresso machine like a distributed system: instrumenting an ESP32 with OpenTelemetry, streaming shots and whole-house sensors into ClickHouse Cloud, and putting ClickStack (plus an LLM agent) on top to turn every pull into a queryable, ## 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. ## Detection primitives for eBPF rootkits DevFeed: [Detection primitives for eBPF rootkits]() Original publisher: [Read original article]() Author: Lorenzo Susini, Matt Muir Published: 2026-07-27T00:00:00Z Content type: article Language: en Sources: [Datadog Security Labs]() Topics: [eBPF](), [Malware](), [Linux](), [tracing](), [Network](), [Protocol (disambiguation)](), [debug](), [Processes]() Tags: [debug](), [ebpf](), [kernel](), [linux](), [malware](), [payload](), [processes](), [tracing]() ### AI overview The article analyzes how Linux malware families use eBPF rootkits and helpers to evade defenses, focusing on detection primitives and VoidLink's method for hiding active connections. It explains how VoidLink manipulates user-space memory and processes socket statistics obtained through Netlink. ### Source excerpt We analyze how VoidLink, LinkPro, and Atomic Arch abuse eBPF helpers to hide from defenders, and show how to detect them at load time, before they can act. ## Debug your Postgres from the terminal: a tour of \`neon inspect db\` DevFeed: [Debug your Postgres from the terminal: a tour of \`neon inspect db\`]() Original publisher: [Read original article]() Author: Savannah Longoria Published: 2026-07-22T18:00:00Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Database](), [telemetry](), [SDKs]() Tags: [cli](), [debug](), [diagnostics](), [json](), [observability](), [performance](), [postgres](), [product](), [scripting](), [sql](), [statistics](), [tooling]() ### AI overview Neon introduces `neon inspect db`, a Neon CLI command suite for read-only Postgres diagnostics. Its subcommands run bounded, versioned queries against Postgres statistics and catalog views, returning tables or JSON/YAML without requiring users to assemble connection strings or write catalog queries. ### Source excerpt The Neon CLI now ships `neon inspect db`: read-only, high-signal Postgres diagnostics that answer "what is slow?" without leaving the terminal or writing a single catalog query. Each subcommand runs one known-good query against Postgres' own statistics and catalog views and prints a clean table (or JSON/YAML for scripting). [Next page]()