# Errors Published articles for Errors. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Salesforce staggers back to feet after global outage DevFeed: [Salesforce staggers back to feet after global outage]() Original publisher: [Read original article]() Author: Lindsay Clark Published: 2026-09-16T10:06:00Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Shopify]() Tags: [customers](), [errors](), [outage](), [saas](), [salesforce](), [services]() ### AI overview Salesforce is recovering from a global outage that caused severe delays, intermittent errors, and inability to access services for customers attending the company's annual conference in San Francisco. ### Source excerpt As thousands attend annual conference in San Francisco, customers get 'severe delays, intermittent errors, and inability to access services' ## From error mitigation to fault-tolerant quantum computing DevFeed: [From error mitigation to fault-tolerant quantum computing]() Original publisher: [Read original article]() Published: 2026-09-15T14:30:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Hardware](), [ibm]() Tags: [compilation](), [deep-dive](), [errors](), [hardware](), [quantum](), [quantum-computing](), [quantum-error-correction-mitigation](), [quantum-software](), [real-time](), [reduce](), [resource]() ### AI overview The article describes a continuum from quantum error mitigation to quantum error correction as a path toward useful quantum computing. It reports emerging techniques with lower effective error rates, reduced sampling overhead, and lower resource requirements than conventional approaches. ### Source excerpt A spectrum of error-correcting techniques is enabling useful quantum computation, measured not by logical qubits but by the circuits you can run with them. ## Swift 6.4 Released DevFeed: [Swift 6.4 Released]() Original publisher: [Read original article]() Author: Holly Borla Published: 2026-09-15T07:30:00Z Content type: release Language: en Sources: [Swift.org]() Topics: [Swift](), [cross-platform](), [Programming](), [Memory Safety](), [WebAssembly](), [browser](), [Microcontroller]() Tags: [cross-platform](), [errors](), [libraries](), [linux](), [macos](), [memory-safety](), [programming](), [swift](), [webassembly]() ### AI overview Swift 6.4 is now available with Swift Build as the default in Swift Package Manager, a stable cross-platform Subprocess API, expanded C++20 and Java interoperability, faster WebAssembly support, broader embedded Swift capabilities, and performance improvements that maintain memory safety. ### Source excerpt Swift 6.4 is now available. Swift aims to be a great choice across the stack, from apps and servers to systems code, embedded devices, and the browser. This release deepens that support, and makes everyday code easier to write. Highlights include: Swift Build is now the default in Swift Package Manager, so your projects build the same way on Linux, macOS, and Windows. Subprocess reaches 1.0, a stable, cross-platform way to run and interact with other programs from Swift, from command-line tools to streaming processes. Interoperability reaches further, with Swift's Span now bridging directly with C++20's std::span, and Swift/Java interop extending its async and callback support. Swift runs faster in the browser, with WebAssembly bridging through JavaScriptKit up to 40 times faster, and the Wasm SDK available directly from Swift.org. Embedded Swift grows more capable, with support for existential types and richer error handling for microcontroller-class targets. Performance improves while maintaining memory safety, with new array types that hold non-copyable elements without copy-on-write overhead, and the new Iterable protocol for iterating without copies. There's so much more. Read on for a detailed guide to the new changes, or see the Swift Evolution dashboard for the full list of proposals in Swift 6.4. Simpler and clearer code Swift 6.4 streamlines your day-to-day programming to make your code simpler and clearer. More natural optional some and any types. When writing an optional some or any type, you no longer have to wrap the type in parentheses. Instead of (some Rocket)?, you can simply write some Rocket? (SE-0521). Source-level control over compiler warnings. When you need to control the behavior of warnings in your project, such as suppressing warnings or promoting them to errors, you can now define the warning behavior directly in your code using the new @diagnose attribute (SE-0522). Clarify which API to use when multiple libraries conflict. When multiple ## Worth Reading 091126 DevFeed: [Worth Reading 091126]() Original publisher: [Read original article]() Author: Russ Published: 2026-09-11T15:39:48Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Artificial Intelligence](), [data](), [Internet](), [Programming](), [Software](), [systems]() Tags: [ai](), [articles](), [data](), [errors](), [internet](), [junior](), [learning](), [programming](), [rpki](), [software](), [systems](), [worth-reading]() ### AI overview A reading roundup connecting the AI bubble, Internet Route Registry and RPKI safety, silent data corruptions, and the effects of AI-assisted programming on junior developers and software engineering. ### Source excerpt Recognizing that AI is a bubble requires one to apply the right test to the right companies and that requires one to understand the fundamental nature of the bubble in question. Based on the insights from those articles, we now shift attention to which parts of the Internet Route Registry (IRR) landscape can - or cannot - be replaced safely with information from the Resource Public Key Infrastructure (RPKI) system. While many faults manifest as crashes or exceptions, others are far more subtle to identify. Silent data corruptions (SDCs), also known as silent data errors or silent errors, are violations of data integrity that occur without immediate, observable, and explicit indications. Aligning intended learning outcomes, assessments, and teaching practices with the realities of AI-assisted programming. AI is transforming the role of the junior developer. But as routine tasks become increasingly automated, how will the next generation of software engineers master the craft of maintaining complex systems? ## Debugging our AI search assistant with agent tracing DevFeed: [Debugging our AI search assistant with agent tracing]() Original publisher: [Read original article]() Author: Dominik Buszowiecki; Shaun Kaasten Published: 2026-09-11T09:00:00Z Content type: article Language: en Sources: [Sentry Blog]() Topics: [AI search](), [agent observability](), [debugging](), [tracing](), [Large Language Model]() Tags: [agent](), [ai](), [api](), [debugging](), [errors](), [eval](), [llm](), [search](), [sentry](), [tracing]() ### AI overview Sentry engineers describe how they debugged the Search Query Assistant, which converts natural-language prompts into Sentry Syntax queries. They used evals for performance measurement and AI Conversation tracing to investigate failures, including a bug involving custom numerical attributes that caused queries to return no results. ### Source excerpt See how Sentry engineers used AI Conversations to debug a natural language search assistant and fix a tricky query generation bug. ## Advancing Embedded Go: Recoverable Panics, UEFI, Radio and Hardware Dev Kit DevFeed: [Advancing Embedded Go: Recoverable Panics, UEFI, Radio and Hardware Dev Kit]() Original publisher: [Read original article]() Author: Olimpiu Pop Published: 2026-09-11T05:05:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Go Language](), [Embedded Software Dev](), [networking]() Tags: [development](), [embedded](), [embedded-software-dev](), [errors](), [go](), [hardware](), [llvm](), [networking](), [news](), [release](), [tiny-go](), [tinygo-devkit](), [wasm](), [webassembly]() ### AI overview TinyGo 0.42 adds recoverable runtime panics, Go 1.27 and LLVM 22 support, and a UEFI target. The article also covers prior wireless and board support, WebAssembly and WASI compilation, and the TinyGo Starter Kit with Seeed Studio XIAO. ### Source excerpt TinyGo version 0.42 introduces significant updates, including recoverable panics and support for Go 1.27 and LLVM 22, improving error handling and enabling Go code to run as UEFI applications. The TinyGo Starter Kit with Seeed Studio XIAO facilitates hardware use for developers, featuring an ESP32-C3 board and modular sensors. These features enhance its functionality for embedded systems and Wasm. By Olimpiu Pop ## 118 million queries per second on Neki DevFeed: [118 million queries per second on Neki]() Original publisher: [Read original article]() Author: Hirad Pourtahmasbi Published: 2026-09-11T00:00:00Z Content type: article Language: en Sources: [Blog -- PlanetScale]() Topics: [Database](), [benchmarking](), [Latency]() Tags: [benchmark](), [database](), [engineering](), [errors](), [latency](), [neki](), [postgres]() ### AI overview The article reports a Neki benchmark that sustained 118 million queries per second across 512 primary-only Postgres shards holding 1.22 PiB of data. The read-only, single-shard point-select workload ran for 16 minutes, with reported router and client p99 latency plus fleet IOPS, network throughput, and error rate. ### Source excerpt We ran a massive, sharded Postgres database at 118.5 million queries per second, with 200k queries per second on each shard across 512 shards. ## Why You're Getting 429s in Production Using Auth0 and How to Stop Them DevFeed: [Why You're Getting 429s in Production Using Auth0 and How to Stop Them]() Original publisher: [Read original article]() Author: Carla Urrea Stabile Published: 2026-09-10T00:00:00Z Content type: tutorial Language: en Sources: [Auth0 Blog]() Topics: [Auth0](), [API](), [Authorization](), [Caching](), [JSON Web Tokens](), [Latency]() Tags: [apis](), [auth0](), [authorization](), [caching](), [errors](), [how-to](), [jwt](), [latency](), [production](), [token]() ### AI overview This tutorial explains why Auth0 API requests return 429 rate-limit errors in production. It identifies per-request Management API calls and repeatedly fetching machine-to-machine tokens as common causes, and recommends putting suitable authorization data in JWT claims, caching reusable tokens, logging rate-limit headers, and using short-lived tokens or live checks when changes must take effect immediately. ### Source excerpt Getting Auth0 429 status code errors in production? They almost always trace back to APIs rate limit. Here are the two causes and how to fix them. ## Fragments: September 8 DevFeed: [Fragments: September 8]() Original publisher: [Read original article]() Author: Martin Fowler (martin@martinfowler.com) Published: 2026-09-08T15:22:00Z Content type: article Language: en Sources: [Martin Fowler]() Topics: [Artificial Intelligence](), [Automation](), [hugging face](), [OpenAI](), [dashboards](), [incident](), [Code]() Tags: [ai](), [ai-agents](), [ai-automation](), [article](), [automation](), [cost](), [dashboards](), [errors](), [history](), [how-to](), [hugging-face](), [incident](), [math](), [openai](), [verification]() ### AI overview The article discusses how AI reduces the cost of generating outputs more rapidly than the cost of verifying them. It argues that AI automation should be applied cautiously when effectiveness is difficult to measure, because incomplete metrics can produce short-term gains while creating hidden technical debt, correlated errors, and weakened human capability. It emphasizes preserving a history of decisions and judgment, and uses the OpenAI-Hugging Face incident to illustrate the consequences of optimizing agent capability without scoring relevant safety outcomes. ### Source excerpt Christian Catalini says we're in a situation where we are vastly reducing the cost of generating things, but not the cost of verifying them:. This explains why the first major AI products appeared in chat, image generation, and code assistance. Not because these were the hardest human problems, but because their outputs were relatively easy to inspect. A user can judge the tone of a message, look at an image, or run a test on a piece of code. [...] The old automation boundary was routine versus non-routine work. The new boundary is increasingly measurable versus non-measurable work. The issue is then over how well you can measure something. In our profession, we know there's a big difference between how many lines of code we write and how productive we are, and we've seen a regular failure to understand how to measure productivity. Too much of what makes work effective is subject to either slow feedback loops or assessments that require subtle judgment. The danger is that people use lots AI automation while using incomplete measurements of its effectiveness, leading to short-term dashboards going up, but disaster in longer time-scales. He refers to these illusory short-term gains as counterfeit utility. Scale this across companies and institutions and the result is a Hollow Economy: extraordinary measured activity sitting on top of weakening human capability, hidden technical debt, correlated errors, and outcomes that nobody can confidently stand behind. Another highlight in the article was his advice to "build a history of decisions, not a gallery of outputs". The point is that with AI we can all build really impressive things, but our value lies in the judgment that we've formed. It reminds me of how math problems were marked at school. We weren't just marked on getting the final answer, we were also marked based on our reasoning process. He uses the OpenAI-Hugging Face incident as an illustration of this gap between generation and verification. He criticizes those ## How to Deal With Errors and Failures in LLM-Powered Applications DevFeed: [How to Deal With Errors and Failures in LLM-Powered Applications]() Original publisher: [Read original article]() Author: ByteByteGo Published: 2026-09-07T15:31:35Z Content type: tutorial Language: en Sources: [ByteByteGo]() Topics: [Large Language Model](), [App](), [Language models]() Tags: [applications](), [concurrency-control](), [errors](), [how-to](), [llm](), [rate-limiting](), [resiliency](), [retry]() ### AI overview A tutorial on error handling and resiliency for LLM-powered applications. It covers failures such as unavailable networks, rejected requests, invalid JSON, hallucinations, slow responses, timeouts, retries, fallbacks, circuit breakers, rate limiting, queues, concurrency control, safe tool calls, and response streaming. ### Source excerpt Apart from normal processing, the application also sends data to a large language model (LLM). It then uses the model's response to carry out a task. ## GPT-6 Astra Draws a Python Reading a Book DevFeed: [GPT-6 Astra Draws a Python Reading a Book]() Original publisher: [Read original article]() Author: Martin Breuss Published: 2026-09-04T14:00:00Z Content type: article Language: en Sources: [Real Python]() Topics: [AI Chat]() Tags: [ai](), [ai-models](), [benchmark](), [code](), [command-line](), [cost](), [errors](), [gpt](), [python](), [python-3-10](), [reasoning]() ### AI overview Real Python evaluates GPT-6 Astra with five fixed, one-shot prompts, including a Python turtle drawing, a command-line tool, a small code edit, and a nonexistent function check. ### Source excerpt GPT-6 Astra takes Real Python's vibe check for AI models: a turtle drawing of a python reading a book, a Python vintage, a tiny edit, and a made-up function. ## Legora reviewed 41 documents in minutes with GPT-6 Astra DevFeed: [Legora reviewed 41 documents in minutes with GPT-6 Astra]() Original publisher: [Read original article]() Published: 2026-09-03T12:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI Bots](), [AI Chat]() Tags: [agent](), [agentic](), [benchmark](), [compliance](), [errors](), [gpt](), [model](), [performance](), [platform](), [reasoning](), [review](), [startup](), [tax](), [workflows]() ### AI overview Legora used GPT-6 Astra to complete a financial-statement tie-out across 41 documents in minutes. It reports a nearly 40% improvement over the previous model, detection of four planted errors, and human review retained for final judgment. ### Source excerpt Legora used GPT-6 Astra to review 41 documents in minutes, find all four planted errors, and improve performance by nearly 40% in this financial-review workflow. ## An Incorrect Temperature Conversion Lookup Table in Home-Automation Code DevFeed: [An Incorrect Temperature Conversion Lookup Table in Home-Automation Code]() Original publisher: [Read original article]() Author: Remy Porter Published: 2026-09-03T06:30:00Z Content type: opinion Language: en Sources: [The Daily WTF]() Topics: [Code](), [floating-point](), [Open Source]() Tags: [code](), [codesod](), [errors](), [floating-point](), [open-source]() ### AI overview The article examines home-automation code that uses a floating-point lookup table to convert Celsius to Fahrenheit. It explains that several mappings are incorrect and that using floating-point values as map keys can also cause lookup failures because of rounding errors. ### Source excerpt A common option for retrofitting heating and cooling into older homes is a mini-split, frequently tied to a heat pump. They're (relatively) cheap to install, energy efficient, and can be added without substantial modifications to the home. They also, annoyingly, are mostly controlled via IR remotes, making them challenging to wire up to home automation or even a household thermostat. People have made solutions, and today's code comes from one of those solutions. Which, I want to stress, this code comes from an open source project for home automation, so it's not the code that's wrong, here. At first I thought it was, and had a moment of, "I'm not going to pick on some hobby project," but then I realised the hobby project points at a deeper issue. // temperature helper these are direct mappings based on the remote float toFahrenheit(float fromCelsius) { // Lookup table for specific mappings const std::map lookupTable = { {16.0, 61}, {16.5, 62}, {17.0, 63}, {17.5, 64}, {18.0, 65}, {18.5, 66}, {19.0, 67}, {20.0, 68}, {21.0, 69}, {21.5, 70}, {22.0, 71}, {22.5, 72}, {23.0, 73}, {23.5, 74}, {24.0, 75}, {24.5, 76}, {25.0, 77}, {25.5, 78}, {26.0, 79}, {26.5, 80}, {27.0, 81}, {27.5, 82}, {28.0, 83}, {28.5, 84}, {29.0, 85}, {29.5, 86}, {30.0, 87}, {30.5, 88} }; // Check if the input is in the lookup table auto it = lookupTable.find(fromCelsius); if (it != lookupTable.end()) { return it->second; } // Default conversion and rounding to nearest integer return roundf(fromCelsius * 1.8 + 32.0); } Okay, I am going to pick on their code a little bit; using float as a key in a map is asking for trouble, because rounding errors are going to surprise you. But honestly, failing to find the key you're looking for is better than the opposite, since that actually does the correct thing. Because if you look carefully at the table, you'll see that it's wrong. 18C, for example, should be 64F. Well, 64.4F, but we're rounding to an integer. The choice here is to roughly map every 0. ## OpenVX 1.3.2 Released: More Precise Errors, Better Consistency, and Groundwork for 2.0 DevFeed: [OpenVX 1.3.2 Released: More Precise Errors, Better Consistency, and Groundwork for 2.0]() Original publisher: [Read original article]() Author: jphilips (jeff@khronosgroup.org) Published: 2026-08-31T13:00:00Z Content type: release Language: en Sources: [Blogs Khronos Blog]() Topics: [API](), [systems]() Tags: [api](), [blog](), [consistency](), [debugging](), [developers](), [error-handling](), [errors](), [openvx](), [release]() ### AI overview Khronos released OpenVX 1.3.2, adding more precise error codes, clearer image-handling rules, API enhancements, and terminology changes intended to improve conformance, portability, implementation, and debugging. The release is described as groundwork for OpenVX 2.0. ### Source excerpt Khronos released OpenVX 1.3.2, an update to the open, royalty-free standard that uses a high-level graph-based framework to deliver portable, efficient vision processing. This focused update strengthens error handling, improves conformance, and makes OpenVX easier for vendors to implement and for developers to debug -- laying the groundwork for the next major release, OpenVX 2.0. ## How one connection kills a database DevFeed: [How one connection kills a database]() Original publisher: [Read original article]() Author: Simeon Griggs Published: 2026-08-31T00:00:00Z Content type: article Language: en Sources: [Blog -- PlanetScale]() Topics: [debugging](), [migration](), [dashboards](), [vitess]() Tags: [app](), [cli](), [database](), [debugging](), [errors](), [exception](), [github](), [management](), [migration](), [mysql](), [postgres](), [product](), [transactions](), [vitess]() ### AI overview The article explains how an unclosed database transaction can block a migration and queue later queries, causing downtime. It discusses diagnosing live MySQL and Postgres connections and preventing stuck Postgres transactions with a timeout. ### Source excerpt Unblock stuck connections with live connection management in the PlanetScale CLI and dashboard ## Classify Domain and System Errors to Set HTTP Status, Logging, and Paging DevFeed: [Classify Domain and System Errors to Set HTTP Status, Logging, and Paging]() Original publisher: [Read original article]() Author: The T-Shaped Dev Published: 2026-08-29T04:19:38Z Content type: tutorial Language: en Sources: [The T-Shaped Dev]() Topics: [Code](), [HTTP](), [API]() Tags: [api](), [code](), [errors](), [graphql](), [http](), [logs](), [middleware](), [on-call]() ### AI overview This tutorial distinguishes expected domain errors, such as invalid input or forbidden actions, from unexpected system errors, such as database failures, upstream timeouts, and memory exhaustion. It proposes encoding the distinction in error types so middleware can determine the HTTP status, user message, log level, and paging behavior. ### Source excerpt One distinction that sets your HTTP status, your log level, and who gets paged. (6 min) ## How to Fix Jackson JSON Parse Error Can not construct instance of java.time.LocalDate DevFeed: [How to Fix Jackson JSON Parse Error Can not construct instance of java.time.LocalDate]() Original publisher: [Read original article]() Author: Hiks Gerganov Published: 2026-08-22T23:26:23Z Content type: tutorial Language: en Sources: [Baeldung]() Topics: [Jackson, Java Dates, Exception, LocalDate](), [LocalDate](), [JSON](), [Exception](), [ISO 8601](), [Code]() Tags: [code](), [errors](), [exception](), [how-to](), [jackson](), [jackson-java-dates-exception-localdate](), [java](), [java-dates](), [json](), [learn](), [localdate](), [post](), [time](), [types]() ### AI overview This tutorial explains why Jackson may fail to deserialize JSON date values into Java's LocalDate or LocalDateTime, even when the JSON uses ISO-8601 formatting. It examines Jackson version support, missing Java Time module configuration, unsupported date formats, and mismatched date-time types, then presents ways to address the problem. ### Source excerpt Learn why sometimes Jackson can't construct an instance of LocalDate or LocalDateTime and how to fix the error it throws. The post How to Fix Jackson JSON Parse Error Can not construct instance of java.time.LocalDate first appeared on Baeldung. ## Measuring benchmark optimization in speech recognition DevFeed: [Measuring benchmark optimization in speech recognition]() Original publisher: [Read original article]() Author: Theo Lebryk; Eric Bezzam; Alice; David Ayllon; Jakub Piotr Cłapa; Jens Madsen; Panagiotis Tzirakis Published: 2026-08-21T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [asr](), [Benchmark](), [benchmark overfitting machine learning](), [Machine learning](), [datasets](), [Open Source]() Tags: [asr](), [audio](), [benchmark](), [datasets](), [errors](), [measurement](), [model](), [open-source](), [research](), [speech](), [transcription]() ### AI overview The article examines benchmark optimization, or "benchmaxxing," in speech recognition. It presents three tests and evaluates 11 open-source ASR models, finding that some reproduced benchmark transcripts even when the audio contradicted them. The research also uses model ensembles and human annotations to identify and validate likely benchmark errors. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Vercel Agent is now available in Slack code channels DevFeed: [Vercel Agent is now available in Slack code channels]() Original publisher: [Read original article]() Author: Shilpa Apte Published: 2026-08-20T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Vercel](), [Slack](), [Code](), [Pull Request](), [Authorization]() Tags: [agent](), [bugs](), [code](), [coding](), [dependency](), [docs](), [enterprise](), [errors](), [logs](), [pull-requests](), [review](), [slack](), [vercel]() ### AI overview Vercel Agent is available in Slack code channels, enabling teams to assign coding work, follow deployments and diagnostics, review pull requests, and provide additional instructions in conversation. The feature is in public beta for Pro and Enterprise teams. ### Source excerpt Vercel Agent now works in Slack code channels, a new kind of channel launched today for working with a coding agent. Anyone in the channel can follow the work, give Agent new instructions, and review the code it writes. Choose Create a code channel from the Slack sidebar, select Vercel as the agent, and describe what you need to get started. You can also ask Agent to create one from an existing channel or thread. It brings that context with it to the new channel. Use code channels to investigate incidents, write and review code as a team, or manage ongoing work such as dependency upgrades and migrations. Inside a Vercel Agent code channel: Follow the work: Agent posts relevant deployments, logs, errors, and diffs in the channel as it works. Talk without repeated @Vercel mentions: Agent follows the conversation, recognizes which messages are for it, and continues when the team gives it more work. Review pull requests: Ask Agent for a PR review and it posts its findings in the channel. It can find bugs outside the diff, and explain failing checks and their root causes. Approve every change: Agent is read-only by default and never exceeds the requester's permissions. Before making a change, it drafts a plan and waits for approval. For every action, Vercel records who requested and approved it and what Agent ran. Stop work at any time: The person who created the code channel can cancel an active task. Vercel Agent in Slack code channels is available in public beta for Pro and Enterprise teams. Add Vercel to Slack, learn about Slack Code, or read the docs. Read more ## \[CVE\] \[URGENT\] Squid v19.2.6 and Tentacle v20.2.4 released DevFeed: [\[CVE\] \[URGENT\] Squid v19.2.6 and Tentacle v20.2.4 released]() Original publisher: [Read original article]() Author: Patrick Donnelly Published: 2026-08-19T00:00:00Z Content type: release Language: en Sources: [Ceph Blog]() Topics: [releases](), [Authentication](), [Linux](), [client](), [monitor]() Tags: [authentication](), [blog-post](), [cve](), [cves](), [en-article](), [en-blog-post](), [errors](), [linux](), [process](), [release](), [releases](), [rest](), [rgw](), [squid](), [tentacle](), [upgrade]() ### AI overview The Ceph project released Tentacle 20.2.4 and Squid 19.2.6 as hotfixes addressing four CVEs. The article urgently recommends upgrading and explains changes to CephX key types, daemon-key rotation, authentication controls, recovery procedures, and multisite RGW request signing. ### Source excerpt The Ceph project has released Tentacle 20.2.4 and Squid 19.2.6 hotfixes for four CVEs across several components. This is the sixth backport release in the Squid series. This is the fourth backport release in the Tentacle series. We strongly recommend that all Ceph operators upgrade to one of these releases as soon as possible. Release Date ¶ August 19, 2026 Critical Upgrade Steps ¶ The fix for CVE-2025-30156 introduces a new CephX key type, aes256k. This is the first time Ceph has introduced a new key type for CephX credentials. Therefore, a new procedure exists for upgrading and rotating Ceph daemon keys as part of this CVE. Before upgrading a Ceph cluster, the operator should familiarize themselves with the procedure to upgrade CephX keys. These steps are for package-based deployments of Ceph. In other sections, the document also includes new information about key rotation procedures, monitor authentication controls, and emergency recovery procedures. Deployments using cephadm will automate the process except for client keys. You may notice that Cephadm spends more time than normal on the upgrade after updating all daemon images. This is due to a new process rotating the OSD and MDS keys. Please be patient. There are plans to improve this in the future. Deployments using Rook will also automate rotation of some client keys with some exclusions. Look to the Rook project's announcement for more details. Client and kernel upgrades are recommended to support aes256k. Note that upstream Linux kernel client support began in kernel 7.0 and has been backported to CentOS Stream 9 and 10. Check with your distribution vendor for backported key support before rotating client keys used by the kernel. As part of upgrading a Ceph cluster, six new health warnings and errors will be generated. This is normal. As part of the process to upgrade/rotate entity keys, you will address the warnings and errors as you go. These are documented beginning here. The CephX documentation has bee ## Tinder cuts app cold starts by 47% with new R8 Configuration Analyzer DevFeed: [Tinder cuts app cold starts by 47% with new R8 Configuration Analyzer]() Original publisher: [Read original article]() Author: Android Developers (noreply@blogger.com) Published: 2026-08-18T18:00:00Z Content type: article Language: en Sources: [Android Developers Blog](), [Android Developers Blog]() Topics: [R8](), [Android](), [Optimization](), [configuration](), [Code]() Tags: [agentic](), [android](), [development](), [errors](), [obfuscation](), [optimization](), [r8](), [startup](), [time]() ### AI overview The article describes how Tinder used the R8 Configuration Analyzer to identify and remove keep-rule blockers in its Android application. The effort reduced cold-start time by 47%, app download size by 28.98% to 61.5 MB, and user-perceived ANRs by 28%. ### Source excerpt Posted by Ajesh R Pai, Developer Relations Engineer, Ulises Uriel Verduzco Diaz, Software Engineer, Tinder, and Tracy Agyemang, Product Marketing Manager Tinder is on a mission to power and inspire real connections by making meeting easy and fun for every new generation of singles. However, as their Android application codebase grew in size, so did its complexity. Prior to their latest optimization efforts, approximately 70% of the application was not optimized, carrying 17 dex files,including three dedicated just to startup. Although they had enabled R8, much of its optimization potential was blocked due to keep rules, and the team was unable to identify which specific rules were preventing optimization. To reduce startup time and decrease user-perceived Application Not Responding (ANR) errors, Tinder turned to the new R8 Configuration Analyzer to tackle these challenges. By utilizing the R8 Configuration Analyzer, Tinder successfully identified and removed unintentional optimization blockers. The results were immediate and impactful: Tinder achieved a 47% reduction in app cold starts, shrank their app download size by 28.98% (down to 61.5 MB), and reduced user-perceived ANRs by 28%. Configuration analyzer The R8 Configuration Analyzer shows R8 optimization by tracking shrinking, optimization, and obfuscation scores to show available refinement areas. It shows the broad, redundant, or obsolete keep rules, including those from external libraries so that you can analyse the keep rule impact and refine the keep rules. Key metrics shown in Configuration Analyzer include: Shrinking Score: Code percentage available for R8 shrinking. Optimization Score: Code percentage open to optimization (for example, method inlining, horizontal class merging). Obfuscation Score: Percentage of classes, methods and fields that can be renamed by R8 to decrease size. Use the analyzer to audit keep rules and their impacts: Find broad rules: Narrow the scope of package-wide rules that restri ## 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 ## Find technical debt at dependency-injection boundaries DevFeed: [Find technical debt at dependency-injection boundaries]() Original publisher: [Read original article]() Published: 2026-08-18T00:00:00Z Content type: article Language: en Sources: [Koin - Cloud-Inject.io -Kotzilla]() Topics: [Dependency injection](), [Framework](), [Code]() Tags: [architecture](), [defects](), [dependency-injection](), [errors](), [review](), [structure](), [technical](), [test](), [tests]() ### AI overview This article explains how dependency-injection code can expose architectural debt. It identifies signals such as oversized modules, string qualifiers, lifetime inversion, construction that starts work, broad production-container tests, and definitions spread across UI locations. It recommends paying down debt at product-slice boundaries, separating construction from behavior, adding focused graph and behavior tests, and measuring ownership, verification, startup, and test setup. ### Source excerpt Dependency-injection code is often treated as plumbing. It is also a compact map of architecture decisions. Review it for debt signals before adding another binding. Signals worth investigating An oversized application module usually means feature boundaries are not explicit. String qualifiers can hide a missing type. Definitions that open databases or start jobs during graph creation mix construction with behavior. A process-scoped object that accepts a screen-owned dependency indicates lifetime inversion. ## New currency capabilities for global businesses to cut FX costs DevFeed: [New currency capabilities for global businesses to cut FX costs]() Original publisher: [Read original article]() Author: Bart Heideman Published: 2026-08-17T00:00:00Z Content type: release Language: en Sources: [Stripe Blog]() Topics: [stripe](), [.NET Conf]() Tags: [australia](), [banking](), [cross-border](), [errors](), [external](), [fees](), [global](), [growth](), [payment](), [payments](), [product](), [stripe]() ### AI overview Stripe announces expanded multicurrency settlement and instant currency conversion to help global businesses reduce foreign exchange costs and manage funds in more markets and currencies. ### Source excerpt Two product upgrades make it easy for global businesses to manage FX entirely on Stripe. We're expanding multicurrency settlement to more markets and currencies, and we're introducing the ability to convert currencies instantly--all on Stripe. [Next page]()