# profile Published articles for profile. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Naoki Egami's Research on Political Methodology and External Validity DevFeed: [Naoki Egami's Research on Political Methodology and External Validity]() Original publisher: [Read original article]() Author: Peter Dizikes | MIT News Published: 2026-09-16T04:00:00Z Content type: article Language: en Sources: [MIT AI News]() Topics: [Statistics](), [Data Science](), [AI Research]() Tags: [artificial-intelligence](), [external-validity](), [faculty](), [idss](), [mit-political-science](), [mit-schwarzman-college-of-computing](), [naoki-egami](), [political-methodology](), [political-science](), [profile](), [research](), [school-of-humanities-arts-and-social-sciences](), [science](), [social-sciences](), [statistics](), [technology-and-society](), [voting-and-elections]() ### AI overview An MIT profile of political scientist Naoki Egami, whose research examines research methodology, external validity, and the mathematical and statistical challenges of studying civic and political phenomena. It also discusses his work on the use of AI tools in research. ### Source excerpt Naoki Egami has become a standout in political methodology, helping refine tools that give scholars durable results. ## The 7 Essential Parts of Your Online Presence DevFeed: [The 7 Essential Parts of Your Online Presence]() Original publisher: [Read original article]() Author: Manish Shivanandhan Published: 2026-09-15T21:07:31Z Content type: tutorial Language: en Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More]() Topics: [Website]() Tags: [job-search](), [linkedin](), [open-source](), [personal](), [portfolio](), [profile](), [social-media](), [work]() ### AI overview This article explains seven parts of a strong online presence, beginning with a professional profile and personal website. It emphasizes consistency, clear descriptions of problems solved and outcomes achieved, and using a personal website to present work, case studies, and contact information. ### Source excerpt Your online presence often gives potential employers, clients, partners, and recruiters their first impression of you. It's likely what they see before they ever meet you. They search your name, read ## Meta AI builds detailed profiles of children from years of family posts DevFeed: [Meta AI builds detailed profiles of children from years of family posts]() Original publisher: [Read original article]() Author: Danny Bradbury Published: 2026-09-15T09:44:10Z Content type: news Language: en Sources: [Malwarebytes]() Topics: [Artificial Intelligence](), [Meta](), [Instagram]() Tags: [ai](), [automated](), [facebook](), [family-and-parenting](), [information](), [instagram](), [issue](), [location](), [meta](), [photos](), [privacy](), [profile](), [social-media](), [statement]() ### AI overview A mother says Meta AI assembled detailed profiles of her young daughters by connecting names, birth details, photos, videos, and location information from family posts across Facebook and Instagram. Meta acknowledged that the feature should not have prompted questions about personal topics and said it fixed the issue. ### Source excerpt A mother says Meta AI pieced together names, birth details, photos, and location information about her young daughters from years of family posts. ## Android malware creates a hidden copy of your banking app DevFeed: [Android malware creates a hidden copy of your banking app]() Original publisher: [Read original article]() Author: Pieter Arntz Published: 2026-09-11T12:14:55Z Content type: news Language: en Sources: [Malwarebytes]() Topics: [Malware](), [App]() Tags: [android](), [app](), [credential-theft](), [fraud](), [malware](), [mobile](), [news](), [phishing](), [profile](), [security](), [transactions]() ### AI overview Gigabud is an Android banking Trojan that creates a work profile and clones a banking app so operators can conduct fraudulent transactions separately from malware detected in the personal profile. ### Source excerpt The Gigabud banking Trojan can clone a banking app into a separate work profile on an Android device to help hide fraudulent transactions. ## (Re)introducing Developer Story DevFeed: [(Re)introducing Developer Story]() Original publisher: [Read original article]() Author: Philippe Beaudette Published: 2026-09-10T18:01:54Z Content type: news Language: en Sources: [Stack Overflow Blog]() Topics: [Programming](), [Code](), [Large Language Model](), [datasets]() Tags: [career](), [community](), [company](), [cv](), [datasets](), [developer](), [identity](), [llms](), [news](), [privacy](), [profile](), [programming](), [se-stackoverflow](), [se-tech](), [skills](), [work]() ### AI overview Stack Overflow is reintroducing Developer Story, a profile feature designed to showcase developers' careers, specialties, contributions, and technical identity. The article also introduces Stack Identity, a broader vision for verified proof of developer work, with privacy controls and integrations for verified contributions from other sites. ### Source excerpt For the past few years, we've been looking at ways to bring a little more of the individual developer back to Stack. ## Today I will... find hidden latency across a distributed .NET application DevFeed: [Today I will... find hidden latency across a distributed .NET application]() Original publisher: [Read original article]() Author: Justin Yoo Published: 2026-09-08T16:00:22Z Content type: tutorial Language: en Sources: [Visual Studio Blog]() Topics: [.NET](), [Processes](), [GitHub Copilot]() Tags: [copilot](), [github-copilot](), [github-copilot-profiler-agent](), [latency](), [net](), [performance](), [processes](), [productivity](), [profile](), [visual-studio](), [visual-studio-2026](), [visual-studio-profiler]() ### AI overview A Visual Studio profiling walkthrough for finding hidden latency in a distributed .NET application by isolating the process responsible for a slow interaction and determining whether it is computing or waiting. ### Source excerpt When a distributed application feels slow, the user sees one delay. The code behind that delay may run across a web frontend, backend services, databases, and external APIs. If you profile only the frontend while the backend is slow, the profiler can show that the frontend is healthy without revealing the actual bottleneck. This article [...] The post Today I will... find hidden latency across a distributed .NET application appeared first on Visual Studio Blog. ## Ila Kumar: Innovating with communities DevFeed: [Ila Kumar: Innovating with communities]() Original publisher: [Read original article]() Author: Gitana Savage | MIT News correspondent Published: 2026-09-01T04:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [digital](), [context]() Tags: [artificial-intelligence](), [assistive-technology](), [child-welfare](), [communities](), [digital](), [engineering-systems](), [graduate-postdoctoral](), [ila-kumar](), [lifelong-kindergarten](), [media-lab](), [mental-health](), [mit-graduate-students](), [profile](), [psychology](), [school-of-architecture-and-planning](), [students](), [tech-for-good](), [technology](), [technology-and-society]() ### AI overview MIT PhD student Ila Kumar researches community-based design, involving young people who have experienced childhood trauma in shaping digital technologies intended to support healing, connection, independence, and well-being. ### Source excerpt The PhD student works to give young people an active role in shaping digital technologies that can support their own well-being. ## Instagram limits recommendations for unlabeled AI-generated profiles DevFeed: [Instagram limits recommendations for unlabeled AI-generated profiles]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-31T20:36:24Z Content type: news Language: en Sources: [WorkOS Blog]() Topics: [Instagram](), [Artificial Intelligence](), [Generative AI]() Tags: [ai](), [creators](), [generative-ai](), [instagram](), [product](), [profile](), [recommendations]() ### AI overview Instagram renamed its "AI creator" badge to "AI-generated profile" and now limits recommendations for detected AI-generated profiles that do not carry the label. Creators can add the label or appeal the decision; successful appeals restore recommendation eligibility. ### Source excerpt Instagram now limits the reach of AI profiles that skip its AI-generated label. Non-human disclosure just became an enforced account attribute with penalties. ## How to recognize your team with GitLab Achievements DevFeed: [How to recognize your team with GitLab Achievements]() Original publisher: [Read original article]() Author: Lee Tickett Published: 2026-08-27T00:00:00Z Content type: tutorial Language: en Sources: [GitLab]() Topics: [GitLab](), [Open Source](), [Template](), [Markdown]() Tags: [collaboration](), [community](), [company](), [feature](), [how-to](), [markdown](), [open-source](), [product](), [profile](), [retention]() ### AI overview GitLab Achievements lets teams create reusable custom badges and award them for contributions, milestones, certifications, or other behaviors. Awards appear on recipients' profiles after they accept them, and optional personal messages support GitLab Flavored Markdown. The feature is presented as a way to reinforce recognition, retention, motivation, and belonging across companies, open source projects, and communities. ### Source excerpt Every team runs on people who go above and beyond. The engineer who fixes the flaky test nobody else will touch. The reviewer who turns your merge request around in an hour. The teammate who finishes their certification. Or the community member who shows up release after release. Whether your team is a company, an open source project, or a community, GitLab had no built-in way to say "we see you." GitLab Achievements changes that. What are GitLab Achievements? An achievement is a custom badge you create once and award to people for their behavior. That might be a contribution, a milestone, or simply getting the most out of GitLab. Each one has a name, a description, and an avatar. Think "First merged MR", "Certified", or "Contributor of the month". Awarded achievements appear on the recipient's profile, alongside their contribution history. There are two halves to the achievement. The achievement itself is a reusable template you define at the group level. Awarding that achievement to someone is a separate action, and it can carry an optional personal message. That message supports GitLab Flavored Markdown, so you can link straight to the merge request, issue, or event that earned it. The same "Contributor of the month" badge can then tell a different story every time you award it. Recipients stay in control. An award doesn't appear on anyone's profile until they accept it using a link from an email notification. Recognition is offered, never forced onto someone's profile. Achievements are generally available as of GitLab 19.2, across Free, Premium, and Ultimate, on GitLab.com, GitLab Self-Managed, and GitLab Dedicated. Why recognition matters Recognition is one of the least expensive, most effective tools you have for retention, motivation, and belonging. A visible badge on a profile costs you a minute to award and gives the recipient something lasting. And "team" is broad: It might be your company, your open source project, or your wider community. The value depen ## Python 3.15 Preview: Sampling Profiler DevFeed: [Python 3.15 Preview: Sampling Profiler]() Original publisher: [Read original article]() Author: Bartosz Zaczyński Published: 2026-08-26T14:00:00Z Content type: tutorial Language: en Sources: [Real Python]() Topics: [cpu](), [Processes](), [dashboards]() Tags: [concurrency](), [cpu](), [graphs](), [processes](), [profile](), [python](), [tracing](), [tutorial]() ### AI overview A tutorial previewing Python 3.15's new low-overhead sampling profiler. It covers profiling scripts, modules, threads, async tasks, and live processes, with CPU/I/O/GIL modes and outputs such as flame graphs, heatmaps, and a terminal dashboard. ### Source excerpt Explore Python 3.15's new sampling profiler and learn low-overhead profiling of scripts, threads, and live production processes. ## Profile-guided optimization in Go DevFeed: [Profile-guided optimization in Go]() Original publisher: [Read original article]() Author: Daniel Lemire Published: 2026-08-09T23:17:36Z Content type: article Language: en Sources: [Daniel Lemire]() Topics: [Go Language](), [Optimization](), [Compiler](), [inlining](), [JSON]() Tags: [compiler](), [cpu](), [go](), [inlining](), [interface](), [json](), [measurement](), [optimization](), [profile](), [profiling](), [speed](), [standard-library](), [systems]() ### AI overview This article explains how profile-guided optimization in Go uses runtime measurements to guide compiler decisions such as inlining hot call sites and devirtualizing interface calls. It also describes a benchmark parsing three JSON documents with separately trained PGO builds and comparing their speed against a profile-free baseline. ### Source excerpt When a compiler optimizes your program, it has to guess. Which functions are worth inlining? Which side of a branch is the common one? Which method does this interface call actually reach? At compile time it cannot know, so it uses heuristics. Profile-guided optimization (PGO) replaces the guessing with measurement: you run your program, record ... Continue reading Profile-guided optimization in Go ## Introducing Profile Frames: Decorative Borders to Make Your Discord Profile Museum-Worthy DevFeed: [Introducing Profile Frames: Decorative Borders to Make Your Discord Profile Museum-Worthy]() Original publisher: [Read original article]() Author: Clyde Published: 2026-07-29T00:00:00Z Content type: release Language: en Sources: [Discord Blog]() Topics: [Discord](), [App]() Tags: [app](), [discord](), [mobile](), [profile](), [shop]() ### AI overview Discord introduces Profile Frames, decorative borders that personalize user profiles. Frames are available for purchase in the Shop, can be swapped or added to a Wishlist, and Nitro members receive a discount. ### Source excerpt Introducing Profile Frames: a new way to put a finishing touch on your Discord profile. Frames add a decorative border around your profile, giving the whole thing a look that's unmistakably yours. ## Bailey Flanigan uses computational and mathematical tools to study democratic participation DevFeed: [Bailey Flanigan uses computational and mathematical tools to study democratic participation]() Original publisher: [Read original article]() Author: Michaela Jarvis | MIT Laboratory for Information and Decision Systems Published: 2026-07-17T17:25:00Z Content type: article Language: en Sources: [MIT AI News]() Topics: [Computer science](), [Electrical engineering and computer science (EECS)](), [math](), [MIT Schwarzman College of Computing]() Tags: [ai-and-democracy](), [ai-in-politics](), [algorithms](), [artificial-intelligence](), [bailey-flanigan](), [computer-science](), [computer-science-and-technology](), [defending-democracy](), [democracy](), [democratic-decision-making](), [electrical-engineering-and-computer-science-eecs](), [faculty](), [government](), [labor-and-jobs](), [laboratory-for-information-and-decision-systems-lids](), [math](), [mit-eecs-faculty](), [mit-faculty-profile](), [mit-lids](), [mit-political-science](), [mit-schwarzman-college-of-computing](), [political-legitimacy](), [political-science](), [politics](), [profile](), [public-health](), [research](), [school-of-engineering](), [school-of-humanities-arts-and-social-sciences](), [science](), [technology-and-society](), [wisconsin-innocence-project]() ### AI overview An MIT faculty member, Bailey Flanigan studies how computational and mathematical tools can create new avenues for meaningful democratic participation. The article describes her interdisciplinary path across computer science, political science, medicine, public health, economics, and related fields. ### Source excerpt Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive. ## Devavrat Shah's research and Ikigai Labs use tabular data for real-time forecasting and decision-making DevFeed: [Devavrat Shah's research and Ikigai Labs use tabular data for real-time forecasting and decision-making]() Original publisher: [Read original article]() Author: David Chandler | Laboratory for Information and Decision Systems Published: 2026-07-14T20:25:00Z Content type: article Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [decision-making](), [Structured-data](), [AI Models](), [data](), [Time Series](), [Computer science](), [Electrical engineering and computer science (EECS)](), [Temporal data](), [systems]() Tags: [ai](), [ai-and-decision-making](), [ai-in-business-planning](), [ai-models](), [algorithms](), [artificial-intelligence](), [business-and-management](), [business-modeling](), [celonis-context-model](), [computer-science-and-technology](), [data](), [data-systems](), [decision-making](), [devavrat-shah](), [electrical-engineering-and-computer-science-eecs](), [faculty](), [forecasting](), [idss](), [ikigailabs](), [laboratory-for-information-and-decision-systems-lids](), [mit-eecs](), [mit-idss](), [mit-intellectual-property](), [mit-lids](), [mit-schwarzman-college-of-computing](), [predictions](), [profile](), [real-time](), [research](), [school-of-engineering](), [startups](), [structured](), [tabular-data](), [time-series-data]() ### AI overview MIT Professor Devavrat Shah's research led to a foundation model for tabular and time-series enterprise data. Developed with Ikigai Labs, the system continuously tests predictions against real outcomes to support large-scale forecasting and decision-making. ### Source excerpt Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources. ## Profiling in PyTorch (Part 3): Attention is all you profile DevFeed: [Profiling in PyTorch (Part 3): Attention is all you profile]() Original publisher: [Read original article]() Author: Aritra Roy Gosthipaty; Sergio Paniego; Sayak Paul; Rémi Ouazan Reboul Published: 2026-07-10T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [AI, ML & Data Engineering](), [jobs](), [cpu]() Tags: [artificial-intelligence](), [cudnn](), [flash](), [gpu](), [jobs](), [kernel](), [profile](), [pytorch](), [torch](), [traces](), [xformers]() ### AI overview A PyTorch profiling tutorial examines naive attention, identifying its primitive operations and the CPU and GPU kernels they launch. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Create a LangChain Deep Agents Harness Profile for NVIDIA Nemotron 3 Ultra to Improve Performance DevFeed: [Create a LangChain Deep Agents Harness Profile for NVIDIA Nemotron 3 Ultra to Improve Performance]() Original publisher: [Read original article]() Author: Sean Lopp Published: 2026-07-08T18:17:59Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [AI Bots](), [ai observability]() Tags: [agentic](), [agentic-ai-generative-ai](), [agents](), [ai-agent](), [benchmark](), [customization](), [evaluation](), [featured](), [langchain](), [nemotron](), [nvidia](), [performance](), [profile](), [python](), [top-stories](), [tutorial]() ### AI overview A tutorial on creating and evaluating a LangChain Deep Agents harness profile for NVIDIA Nemotron 3 Ultra. It uses benchmark-driven iteration to tune harness behavior and improve performance without fine-tuning the model. ### Source excerpt Agentic systems often face a trade-off between accuracy and cost. The highest-performing proprietary frontier models and harnesses provide top accuracy but are... ## Profiling in PyTorch (Part 2): From nn.Linear to a Fused MLP DevFeed: [Profiling in PyTorch (Part 2): From nn.Linear to a Fused MLP]() Original publisher: [Read original article]() Author: Aritra Roy Gosthipaty; Rémi Ouazan Reboul; Sergio Paniego; Pedro Cuenca; Sayak Paul Published: 2026-06-11T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [AI, ML & Data Engineering](), [cpu](), [jobs]() Tags: [cpu](), [cuda](), [deep-learning](), [gpu](), [jobs](), [kernels](), [liger](), [mlp](), [open-source](), [profile](), [pytorch](), [torch](), [traces]() ### AI overview A PyTorch profiling tutorial that moves from nn.Linear to a fused multilayer perceptron, explaining GPU kernels, CPU launch overhead, and tensor-transpose behavior in profiler traces. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Introducing: You Bar DevFeed: [Introducing: You Bar]() Original publisher: [Read original article]() Author: Perry Wang Published: 2026-06-08T00:00:00Z Content type: article Language: en Sources: [Discord Blog]() Topics: [1Password in the browser](), [App]() Tags: [announcements](), [design](), [discord](), [identity](), [mobile](), [product](), [profile](), [ui](), [update]() ### AI overview Discord introduces the You Bar, a mobile app update designed to simplify navigation, emphasize user identity, and move toward a more unified desktop and mobile experience. ### Source excerpt Introducing the You Bar: an update to the Discord mobile app that celebrates your identity, simpler navigation, and a peek at what's next. ## Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler DevFeed: [Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler]() Original publisher: [Read original article]() Author: Aritra Roy Gosthipaty; Sayak Paul; Sergio Paniego; Rémi Ouazan Reboul; Pedro Cuenca Published: 2026-05-29T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [GPU](), [AI, ML & Data Engineering](), [cpu](), [jobs]() Tags: [cpu](), [cuda](), [gpu](), [guide](), [how-to](), [jobs](), [kernel](), [kernels](), [llm](), [open-source](), [profile](), [python](), [pytorch](), [torch](), [traces](), [training](), [tutorials]() ### AI overview A beginner-focused tutorial on using torch.profiler to inspect PyTorch execution, interpret CPU and GPU traces, and connect Python operations to CUDA kernels. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## \[GSoC 2026\] Bluetooth: HCI Improvements & HID Profile | Haiku Project DevFeed: [\[GSoC 2026\] Bluetooth: HCI Improvements & HID Profile | Haiku Project]() Original publisher: [Read original article]() Author: mohammedrattia Published: 2026-05-03T13:46:03Z Content type: article Language: en Sources: [Haiku Project]() Topics: [Bluetooth](), [Computer science](), [Development](), [Software Engineering](), [Operating system]() Tags: [2026](), [bluetooth](), [computer-science](), [google-summer-of-code](), [gsoc](), [gsoc2026](), [haiku](), [hci](), [hid](), [improvements](), [profile](), [programming](), [project](), [software](), [software-engineer](), [software-engineering](), [systems]() ### AI overview A GSoC 2026 proposal for Haiku aims to modernize the operating system's Bluetooth stack and implement the Bluetooth HID profile. The planned work includes completing HCI commands, improving pairing and Link Key persistence, and handling disconnection and timeout events. ### Source excerpt Hello! I'm Mohammed R. Attia, a 2nd-year Computer Science Student. I've been accepted into Google Summer of Code (GSoC) 2026 with Haiku, with my proposal titled "Modernizing Haiku's Bluetooth Stack: HCI Completion and HID Profile Implementation." About Me I consider myself a competitive programmer and a software engineer. I haven't decided on a specific specialization in software engineering just yet; rather, I'm interested in systems development and low-level programming. You can check my GitHub for more information about my latest projects. I go by the handle mohammedrattia in many places on the internet, so feel free to reach out :). How did I get here? I first learned about Haiku while searching for GSoC organizations to contribute to. It was my first time learning about a desktop operating system other than the famous trio: Windows, macOS, and Linux. So, I started by reading the GSoC guide and joining IRC. I remember that the process was smooth because the guide contained everything, and people on IRC were welcoming and supportive. Then, I started working towards building Haiku, and I got my first commit merged into Haiku after several days. Current Goals The main goal of my proposal in GSoC is to modernize the Bluetooth stack. Currently, the Bluetooth stack in Haiku can't communicate effectively with modern Bluetooth devices because of the outdated standards it uses. However, making the Bluetooth core perfectly align with modern standards won't benefit Haiku users because it would still need a Bluetooth Profile to perform a useful task. One of the most common uses of Bluetooth is Human Interface Devices (HID) (e.g., keyboards and mice). Accordingly, this project will build the HID Bluetooth profile to provide useful functionality for Haiku users. The following three sub-sections contain a brief specification for the goals of the project from my GSoC proposal. Modern HCI Event & Command Handling Build upon the recent SSP/EIR groundwork by implementing the remai ## Supercharging Redpanda Streaming with profile-guided optimization DevFeed: [Supercharging Redpanda Streaming with profile-guided optimization]() Original publisher: [Read original article]() Author: Stephan Dollberg Published: 2026-04-02T00:00:00Z Content type: article Language: en Sources: [Redpanda]() Topics: [Optimization](), [Streaming](), [Latency](), [Compiler](), [LLVM](), [Instrumentation](), [build performance](), [Benchmark]() Tags: [benchmark](), [bugs](), [compilation](), [engineering](), [instrumentation](), [latency](), [llvm](), [meta](), [optimization](), [performance](), [profile](), [profiling]() ### AI overview This article describes how Redpanda optimized its binary for Redpanda Streaming 26.1 using compiler-based profile-guided optimization (PGO) and LLVM BOLT. It explains how profiling data guides optimization decisions, compares the two approaches, and reports lower latency and CPU usage for intensive workloads. ### Source excerpt A behind-the-scenes look into how we optimized performance and cut latency in Redpanda 26.1 with profile-guided optimization. ## How to Customize Your Discord Profile DevFeed: [How to Customize Your Discord Profile]() Original publisher: [Read original article]() Author: Locke Published: 2026-02-02T00:00:00Z Content type: tutorial Language: en Sources: [Discord Blog]() Topics: [Discord](), [App]() Tags: [app](), [discord](), [how-to](), [learn](), [mobile](), [profile]() ### AI overview This tutorial explains how to customize a Discord profile, including editing profile settings, previewing the profile, and uploading an avatar on desktop and mobile. ### Source excerpt Make your first impression count with a profile that represents you how YOU want to be seen. Learn how to edit and customize your profile to have it rep you the right way. ## How to Share What You're Playing, Listening to, or Watching as Your Status on Discord DevFeed: [How to Share What You're Playing, Listening to, or Watching as Your Status on Discord]() Original publisher: [Read original article]() Author: Locke Published: 2025-11-14T00:00:00Z Content type: article Language: en Sources: [Discord Blog]() Topics: [Discord](), [App](), [Xbox](), [pc](), [Linux]() Tags: [2025](), [app](), [applications](), [desktop](), [discord](), [games](), [gaming](), [how-to](), [learn](), [linux](), [mac](), [pc](), [profile](), [xbox]() ### AI overview This guide explains how to display the PC, Mac, Linux, or console game you are playing as your Discord status. It also covers showing music or anime activity and disabling status sharing for selected games. ### Source excerpt Playing a game right now? Listening to some tunes, or catching up on that one anime your friends won't stop talking about? Learn how to show off what you're up to as your Discord status and show @everyone what's up! ## MySQL Query Optimization with Releem DevFeed: [MySQL Query Optimization with Releem]() Original publisher: [Read original article]() Author: vladmihalcea Published: 2025-05-12T18:46:00Z Content type: tutorial Language: en Sources: [Vlad Mihalcea]() Topics: [MySQL](), [Optimization](), [Spring Boot](), [SQL](), [Java]() Tags: [metrics](), [mysql](), [optimization](), [performance](), [performance-tuning](), [petclinic](), [profile](), [que](), [releem](), [spring-boot](), [sql]() ### AI overview This tutorial demonstrates how to use Releem to investigate and optimize SQL queries from a Spring application running on MySQL. It uses Spring Petclinic, a JMeter test plan, and load-related CPU and I/O metrics to identify time-consuming queries and apply optimization recommendations. ### Source excerpt Introduction In this article, I'm going to show you how to optimize the queries executed by a Spring application running on MySQL using Releem. For a short introduction about Releem, check out this previous article, in which I explained how to set up Releem to collect metrics from your MySQL database. Spring Petclinic application The application under test is going to be the well-known Spring Petclinic that we are going to run using the MySQL profile: After starting the application, we are going to run the petclinic_test_plan.jmx JMeter test plan that is... Read More The post MySQL Query Optimization with Releem appeared first on Vlad Mihalcea. [Next page]()