# notifications Published articles for notifications. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Fun with slope fields, css and react DevFeed: [Fun with slope fields, css and react]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-08-05T22:00:00Z Content type: opinion Language: en Sources: [Khan Academy]() Topics: [CSS](), [React](), [notifications](), [math]() Tags: [css](), [design](), [engineering](), [fun](), [math](), [news](), [notifications](), [react]() ### AI overview An account of designing a Khan Academy notification banner for LearnStorm winners under a tight three-day deadline. The project focused on improving the notification's visual presentation while incorporating LearnStorm's slope-field identity, using CSS and React. ### Source excerpt By Marcos Ojeda A while ago, we needed to send out a notification to all our LearnStorm winners ... Read more ## Switching to Slack DevFeed: [Switching to Slack]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-11-09T23:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Slack](), [migration](), [notifications](), [systems](), [Documentation]() Tags: [administration](), [chat](), [connectivity](), [delivery](), [documentation](), [engineering](), [infrastructure](), [integration](), [migrate](), [news](), [notifications](), [organization](), [remote](), [slack](), [switching](), [team]() ### AI overview Khan Academy describes its decision to migrate team chat from HipChat to Slack after connectivity, message delivery, and notification problems affected reliability, especially for remote workers. The article outlines cultural, administrative, organizational, and integration-related costs that make chat-platform migration difficult. ### Source excerpt By Benjamin Pollack Khan Academy recently made the decision to migrate our team chat from HipChat to Slack. ... Read more ## User Impersonation Can Trigger Analytics, Emails, Webhooks, and Background Jobs as the Wrong User DevFeed: [User Impersonation Can Trigger Analytics, Emails, Webhooks, and Background Jobs as the Wrong User]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-11T00:00:00Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Authorization](), [systems]() Tags: [analytics](), [authorization](), [automation](), [email](), [feature](), [feature-flags](), [notifications](), [support](), [webhooks]() ### AI overview The article explains that user impersonation is a session-level concern whose downstream effects can inherit the impersonated identity. It inventories risks including analytics, notifications, lifecycle email, chat activity, webhooks, feature flags, caches, and queued jobs, with examples of misleading user communications and unintended email automation. ### Source excerpt The side effects nobody documents: analytics, lifecycle email, feature flags, webhooks, and the background job that runs as the wrong person an hour later. ## Message Queue vs Event Bus vs Broker DevFeed: [Message Queue vs Event Bus vs Broker]() Original publisher: [Read original article]() Author: Nikki Siapno Published: 2026-09-10T12:22:39Z Content type: article Language: en Sources: [Level Up Coding System Design Newsletter]() Topics: [systems](), [Latency]() Tags: [architecture](), [consumer](), [fraud-detection](), [latency](), [messages](), [notifications](), [payment](), [queue]() ### AI overview This article distinguishes message queues, event buses, and brokers by the meaning of the message. It explains that queues assign work to consumers, support retries and dead-letter queues, smooth traffic spikes, and can develop growing backlogs and higher latency under sustained overload. ### Source excerpt They often show up in the same architecture diagram, which makes them look interchangeable. They're not. ## Pulumi Introduces Notification Center for Pulumi Cloud DevFeed: [Pulumi Introduces Notification Center for Pulumi Cloud]() Original publisher: [Read original article]() Author: Tom King Published: 2026-08-11T00:00:00Z Content type: release Language: en Sources: [Pulumi]() Topics: [Cloud]() Tags: [console](), [email](), [esc](), [features](), [github](), [notifications](), [organization](), [product](), [pulumi](), [pulumi-cloud](), [pulumi-neo](), [real-time](), [review](), [slack]() ### AI overview Pulumi introduces Notification Center, an inbox in the Pulumi Cloud console for task completions, approval requests, and billing alerts. Notifications appear in real time, link directly to the required action, and can be delivered in the console or by email with per-type preferences. ### Source excerpt Plenty happens in a Pulumi organization while you're looking somewhere else. Neo finishes a task you kicked off just before taking lunch. A teammate submits an ESC change request that needs your approval before it can land. Until now, catching any of that meant either keeping the right tab open or hoping the right email reached you. Today we're introducing the Notification Center: a single inbox in the Pulumi Cloud console for the things that actually need you. It lives behind the bell in the sidebar, with a dot when something's waiting. Notifications arrive in real time -- no refresh -- and each one carries exactly one action: Review request, View task, Update billing. Click it and you land on the page where you can do the thing, not on a dashboard where you have to go find it. What you'll hear about We've started with the moments where being a few minutes late actually costs you something: a Neo task that's paused waiting on your approval, a Neo task that's finished, an ESC change request waiting on your sign-off, and billing conditions like a locked organization or a trial that's about to end. Relevant people in your organization will be notified when there's a pending approval, or billing alert. Nobody gets paged for someone else's work. Where you'll hear about it Every notification type can be delivered two ways -- in the console and over email -- and you choose per type, per channel. Organization admins set a sensible baseline for everyone; each person can override it for themselves on their account settings page. What's next The Notification Center is available today. We're starting with this set of notifications and expanding from there. If there's an event you'd rather hear about from the bell than from a colleague on Slack, we'd like to know which one. Join our Community Slack to connect with the Pulumi team and other users, or open an issue on our GitHub repository. ## Stop Polling, Start Pushing: The Case for Webhooks DevFeed: [Stop Polling, Start Pushing: The Case for Webhooks]() Original publisher: [Read original article]() Published: 2026-07-21T23:00:18Z Content type: release Language: en Sources: [Facebook Developers]() Topics: [API](), [real-time](), [Automation](), [Meta]() Tags: [api](), [automation](), [meta](), [notifications](), [real-time](), [subscriptions](), [updates](), [webhooks]() ### AI overview The article explains how webhooks push API updates when events occur, avoiding frequent polling and reducing rate-limit usage. It showcases Meta's existing standalone webhooks and a unified ads subscription endpoint that supports notifications for ad object changes and insights updates. ### Source excerpt Today, API users set up "polling" to frequently request updates to ensure they have the most current data. While common, this process is inefficient and chips away at rate limits. ## Introducing Usage Limits for Pulumi Neo DevFeed: [Introducing Usage Limits for Pulumi Neo]() Original publisher: [Read original article]() Author: John Keiser Published: 2026-07-14T15:00:00Z Content type: release Language: en Sources: [Pulumi]() Topics: [pulumi-neo](), [AI Agent](), [Artificial Intelligence](), [Cloud]() Tags: [agent](), [ai](), [ai-agent](), [ai-agents](), [billing](), [cloud](), [features](), [notifications](), [organization](), [product](), [pulumi](), [pulumi-cloud](), [pulumi-neo](), [token]() ### AI overview Pulumi introduces usage limits for Pulumi Neo, allowing paid-plan organizations to set monthly organization and per-member dollar limits. Neo pauses when a limit is reached, resumes in the next billing period, and supports email alerts at specified thresholds. ### Source excerpt Pulumi Neo is an AI agent that takes on real infrastructure work, and it's natural to want to hand it more and more. Usage limits give you control so you can do exactly that: set a monthly dollar limit, and Neo pauses when your organization reaches it. How usage limits work Your organization limit is a single monthly dollar amount covering all Neo usage across the org. To set one: In the Pulumi Cloud console, navigate to Settings -> Billing & usage -> Neo token usage. In the Manage token usage panel, enter an organization limit. Save your changes. When usage reaches the limit, Neo pauses for the rest of the billing period and resumes automatically at the start of the next one. An Admin or Billing Manager can raise the limit to resume before then. Enforcement happens at a natural boundary in Neo's work, so a task already in progress finishes its current step before pausing. As a result, usage can go a few dollars over the set limit. Per-member limits and alerts You can also set a separate limit for each member. A member is paused at whichever limit is smaller: their own or the organization's. For example, a member with a $200 limit under a $150 organization limit pauses at $150, because the organization limit is smaller. Turn on Enable email notifications to get a heads-up before you reach the limit. Billing admins are alerted at 50%, 80%, and 95% of the organization limit, with a final notice at 100% when Neo pauses. Get started Set your usage limits and stay in control as your organization hands Neo more and more work. Usage limits are available today for organizations on a paid plan, and an Admin or Billing Manager can set them. Sign in to Pulumi Cloud and set your first organization limit Read the Neo usage limits documentation for per-member limits, alerts, and enforcement details Join the Community Slack to share your feedback ## Apollo GraphOS Schema Proposals adds diff navigation, conflict resolution, richer webhooks, and workflow improvements DevFeed: [Apollo GraphOS Schema Proposals adds diff navigation, conflict resolution, richer webhooks, and workflow improvements]() Original publisher: [Read original article]() Author: Ana De Magalhães Published: 2026-07-01T09:00:00Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphOS](), [API](), [consistency]() Tags: [announcement](), [api](), [apollo](), [consistency](), [graphos](), [notifications](), [schema](), [slack](), [webhooks]() ### AI overview Apollo GraphOS introduces improvements to Schema Proposals for drafting and reviewing graph schema changes. The release adds diff navigation, clearer revision and source-variant information, inline conflict handling, richer webhook notifications, API updates for coverage detection and automated pipelines, and consistency improvements. ### Source excerpt Apollo GraphOS Schema Proposals adds diff navigation, inline conflict resolution, clearer revisions, enriched webhooks, and Slack notifications. Built for how platform teams ship schema changes. ## Introducing ESC Secret Rotation Webhooks DevFeed: [Introducing ESC Secret Rotation Webhooks]() Original publisher: [Read original article]() Author: Sean Yeh Published: 2026-06-26T00:00:00Z Content type: release Language: en Sources: [Pulumi]() Topics: [pulumi-esc](), [secret rotation](), [notifications](), [pulumi-cloud](), [pulumi-cli](), [TypeScript](), [GitHub]() Tags: [cli](), [esc](), [github](), [notifications](), [product](), [pulumi](), [pulumi-cli](), [pulumi-cloud](), [rotation](), [secret-rotation](), [secrets](), [slack](), [typescript](), [webhooks]() ### AI overview Pulumi introduces ESC secret rotation webhooks, which trigger on successful or failed environment secret rotations. They can notify teams in Slack, refresh services using old credentials, and help detect failed rotations before outages. ### Source excerpt Pulumi ESC centralizes your secrets and configuration, and it can automatically rotate secrets on a schedule so credentials never go stale. But a rotation is only useful if the systems that depend on it know it happened. ESC secret rotation webhooks close that gap by notifying you the moment a secret rotates. Introducing secret rotation webhooks With ESC webhooks, you can react to rotations automatically. When ESC rotates an environment's secrets, a webhook can be configured to trigger on either success or failure. Use it to notify your team in Slack, refresh services that hold the old credential, or catch a failed rotation before it causes an outage. How to configure Pulumi Cloud Console Using the Pulumi Cloud Console, you can now configure webhooks for "Environment rotation succeeded" and "Environment rotation failed" in your ESC Environment's Settings page (under Settings -> Notifications). Pulumi Service Provider You can use the Pulumi Service Provider in your Pulumi program to configure webhooks. Here is an example in TypeScript: const environmentWebhook = new service.Webhook("env-webhook", { active: true, displayName: "env-webhook", organizationName: "my-org", projectName: environment.project, environmentName: environment.name, payloadUrl: "https://example.com", filters: [WebhookFilters.EnvironmentRotationSucceeded, WebhookFilters.EnvironmentRotationFailed], }) Pulumi CLI You can also use the Pulumi CLI to configure the webhook: pulumi env webhook new my-org/project/env env-webhook \ --url https://example.com \ --event environment_rotation_succeeded \ --event environment_rotation_failed Get started Secret rotation webhooks are available now for all Pulumi ESC environments. See the webhooks documentation to get started, and share your feedback on our GitHub repository. ## Building a Centralized Alerting Framework for Data Quality Monitoring and Incident Management DevFeed: [Building a Centralized Alerting Framework for Data Quality Monitoring and Incident Management]() Original publisher: [Read original article]() Author: Manav Mehta Published: 2026-06-18T07:11:45Z Content type: article Language: en Sources: [Helpshift]() Topics: [Data Quality](), [incident management](), [Monitoring](), [DataOps]() Tags: [data-engineering](), [data-quality](), [email](), [incident-management](), [monitoring](), [notifications](), [observability](), [pipelines](), [slack](), [snowflake]() ### AI overview This article describes the design of a centralized alerting and incident management framework for data quality and pipeline monitoring. The framework uses Snowflake's native Alerting capabilities with Email, Slack, and Splunk On-Call integrations to detect issues, notify the appropriate engineers, escalate critical incidents, and provide actionable context. ### Source excerpt Before We Knew Better As our data platform grew, so did the number of pipelines, scheduled tasks, and data quality checks running every day. While Snowflake provided a reliable platform for storing and processing data, operational monitoring was fragmented across multiple systems. Data quality failures were often discovered only after downstream reports showed inconsistencies. Pipeline issues sometimes required engineers to manually inspect logs, query tables, and trace execution paths before identifying the root cause. The challenge wasn't detecting failures -- we already had mechanisms to identify them. The real challenge was ensuring the right people were notified quickly, with enough context to take action. Questions during on-call incidents were often similar: Did the pipeline fail or was data simply delayed? Which validation check triggered the alert? Who should respond to the issue? How can we ensure critical failures don't get missed overnight? As the number of pipelines increased, manually monitoring these failures became increasingly difficult. We needed a centralized alerting framework. What We Actually Needed Our goal wasn't simply to send more notifications. We wanted a system that could: Detect data quality issues automatically Notify engineers through channels they already use Escalate critical incidents to on-call responders Provide actionable context instead of generic failure messages Scale across multiple pipelines and monitoring use cases Most importantly, we wanted to keep the solution as close to the data platform as possible. Since our monitoring logic already lived in Snowflake, it made sense for the alerting framework to live there as well. The Architecture We Chose To address these challenges, we designed a centralized notification and incident management framework using Snowflake's native Alerting capabilities, combined with Email, Slack, and Splunk On-Call integrations. Rather than introducing another monitoring platform, we chose to build ## Background Work, Push Topics, And Richer Notifications DevFeed: [Background Work, Push Topics, And Richer Notifications]() Original publisher: [Read original article]() Author: Shai Almog Published: 2026-06-09T00:00:00Z Content type: tutorial Language: en Sources: [CodeName One]() Topics: [Mobile](), [Development](), [Android](), [iOS]() Tags: [android](), [background-work](), [development](), [ios](), [mobile-development](), [network](), [notifications](), [permission]() ### AI overview This article describes Codename One updates for constraint-based background work, foreground services, push topic subscriptions, shared-content handling, richer local notifications, and simulator support across Android and iOS. ### Source excerpt Constraint-based background work, foreground services, push topic subscriptions, shared-content handling, and a much richer local notification API, all with full simulator support. ## Codename One Adds Native macOS Builds and Desktop Integration DevFeed: [Codename One Adds Native macOS Builds and Desktop Integration]() Original publisher: [Read original article]() Author: Shai Almog Published: 2026-06-06T00:00:00Z Content type: article Language: en Sources: [CodeName One]() Topics: [macOS](), [iOS](), [Xcode](), [IntelliJ IDEA]() Tags: [apple](), [build](), [desktop](), [ios](), [mac](), [native](), [notifications]() ### AI overview Codename One 7.0.250 adds a native macOS application target that builds from the existing iOS pipeline without bundling a JVM. Desktop integration also adds native window chrome, menus, interactive scrollbars, and notifications, while Mac signing remains an infrastructure gap. ### Source excerpt The same Codename One project can now build a REAL native Mac app through the iOS pipeline, and a deeper desktop layer gives it a real title bar, a native menu bar, interactive scrollbars, and desktop notifications. ## Unsubscribe from a GitHub organization DevFeed: [Unsubscribe from a GitHub organization]() Original publisher: [Read original article]() Author: Carlos Alexandro Becker Published: 2026-05-20T00:00:00Z Content type: tutorial Language: en Sources: [Carlos Becker]() Topics: [GitHub](), [pull-requests](), [notifications](), [Shell](), [Script](), [Open Source]() Tags: [github](), [notifications](), [open-source](), [pull-requests](), [repositories](), [script](), [shell]() ### AI overview A short tip explains that leaving a GitHub organization does not stop notifications from open-repository issues and pull requests. The author used a shell script to unsubscribe from those items and close remaining open pull requests. ### Source excerpt Just leaving the organization is not enough. ## Inside the Geofence: Faster Pickups Start Here DevFeed: [Inside the Geofence: Faster Pickups Start Here]() Original publisher: [Read original article]() Author: Global Technology Published: 2026-05-12T13:14:04Z Content type: article Language: en Sources: [McDonald's Technical Blog - Medium]() Topics: [Testing](), [Mobile](), [real-time](), [Wi-Fi](), [data](), [App]() Tags: [app](), [automation](), [geofencing](), [gps](), [location](), [location-based](), [mobile](), [notifications](), [push-notifications](), [quality-assurance](), [real-time](), [technology](), [testing](), [wi-fi](), [workflows]() ### AI overview The article explains how McDonald's integrates geofencing into mobile field testing to evaluate digital features under real-world conditions such as drive-thru lanes, parking areas, and restaurant environments. It reports that this approach improved accuracy, timing, and reliability for experiences including Ready on Arrival, curbside pickup, loyalty, notifications, and order-preparation workflows. ### Source excerpt Geofencing field testing turns noisy GPS signals into reliable arrivals for drive-thru, curbside, and beyond. By Chandrani Gupta Chowdhury, Sr. Manager, Quality Assurance Engineering Quick Bytes: Lab testing alone can't fully capture the real-world conditions that shape mobile experiences inside McDonald's restaurants As customers drive toward a restaurant, pull into a parking spot, or move through a drive-thru lane, geofencing-enabled field testing shows how digital features respond in real time This approach improved accuracy, timing, and reliability -- strengthening customer experiences like Ready on Arrival (ROA), curbside, and loyalty Mobile experiences don't happen in perfect conditions -- they happen in cars, parking lots, drive-thru lanes, and busy restaurants where signals fluctuate and customer behavior is unpredictable. For McDonald's, ensuring digital features work reliably in these real-world environments is critical to delivering fast, seamless experiences at scale. To meet that challenge, teams began integrating geofencing into field testing, allowing them to observe how mobile features perform as customers approach, arrive, and move through restaurant spaces. Inside the digital boundary of the restaurant Geofencing is a location-based technology that leverages GPS, Wi-Fi, and cellular data to create virtual boundaries around physical locations, enabling applications to trigger predefined actions when users enter or exit those zones. The benefits of incorporating geofencing into field testing are significant. From an operational standpoint, it helps ensure restaurants are prepared to receive and fulfill digital orders efficiently, reducing customer wait times and improving order accuracy. From a customer experience perspective, geofencing enables timely, relevant, and seamless interactions, reinforcing trust in the digital journey. Within the McDonald's ecosystem, geofencing can be applied across restaurant footprints -- including parking areas and drive ## Promies Feedback Board: A simple way to collect user feedback in your apps DevFeed: [Promies Feedback Board: A simple way to collect user feedback in your apps]() Original publisher: [Read original article]() Author: Mike Yerou Published: 2026-05-05T10:46:53Z Content type: article Language: en Sources: [Rock and Null]() Topics: [Mobile](), [App](), [notifications](), [email](), [account]() Tags: [android](), [apps](), [email](), [extension](), [ios](), [mobile-apps](), [notifications](), [product]() ### AI overview Promies Feedback Board is a tool for mobile app developers to collect user ideas, issue reports, and feature votes in one place. It supports customizable boards, public responses, status updates, CAPTCHA-protected voting, subscriptions, statistics, and email notifications. ### Source excerpt Promies Feedback Board gives you a single, vote-protected hub to see exactly which features your users actually want. ## No Small Task: Evolving the Way Millions Catch Up in Slack DevFeed: [No Small Task: Evolving the Way Millions Catch Up in Slack]() Original publisher: [Read original article]() Author: andyacevedo Published: 2026-04-09T17:06:52Z Content type: article Language: en Sources: [Slack Design]() Topics: [Slack]() Tags: [design](), [notifications](), [slack](), [uncategorized]() ### AI overview Slack Design describes how the team evolved the Activity tab into Activity 2.0, aiming to help users catch up on and triage work in one place. The article explains the limitations of Activity 1.0 and the research-driven iteration behind the redesign. ### Source excerpt Everyone has felt it: the anxiety of returning to Slack after a meeting, unsure where to start. Which channels have updates that matter? Did someone mention you? Are there DMs waiting? For years, staying caught up in Slack has meant jumping between surfaces, trying to piece together what needs your attention. This universal feeling of [...] The post No Small Task: Evolving the Way Millions Catch Up in Slack appeared first on Slack Design. ## Slack Rebuilt Notifications for Millions of Users DevFeed: [Slack Rebuilt Notifications for Millions of Users]() Original publisher: [Read original article]() Author: Byte-Sized Design Published: 2026-03-30T01:14:20Z Content type: article Language: en Sources: [Byte-Sized Design]() Topics: [Slack]() Tags: [architecture](), [notifications](), [slack]() ### AI overview The article examines how Slack rebuilt its notification system and describes an architecture decision that enabled the change without breaking existing users. ### Source excerpt Slack rebuilt its notification system from scratch, here's the architecture decision that made it possible without breaking millions of users. ## Introducing the Activity Center: One place for every change that matters DevFeed: [Introducing the Activity Center: One place for every change that matters]() Original publisher: [Read original article]() Published: 2026-03-25T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [chainguard](), [Security](), [Monitoring](), [Deployment]() Tags: [chainguard-activity-center](), [chainguard-catalog](), [chainguard-console](), [chainguard-containers](), [chainguard-cve-alerts](), [chainguard-images](), [cve](), [deployment](), [monitoring](), [notifications](), [product-updates](), [real-time](), [security]() ### AI overview Chainguard introduces the Activity Center, a centralized and configurable notification feed in the Chainguard Console. It helps teams track breaking changes, incidents, image lifecycle events, CVE advisories, product updates, and entitlement changes, with additional filtering and notification-history features planned. ### Source excerpt Chainguard's Activity Center centralizes alerts for CVEs, breaking changes, and updates -- delivering real-time notifications where your teams already work. ## Introducing the Apache Airflow Registry DevFeed: [Introducing the Apache Airflow Registry]() Original publisher: [Read original article]() Author: Apache Airflow Published: 2026-03-19T00:00:00Z Content type: release Language: en Sources: [Apache Airflow Blog]() Topics: [airflow](), [Data pipelines](), [API](), [JSON]() Tags: [airflow](), [apache](), [apache-airflow](), [community](), [data-pipelines](), [messaging](), [notifications](), [openai](), [registry]() ### AI overview Apache Airflow launches the Airflow Registry, a searchable catalog of official providers and modules. It includes provider and module search, installation and compatibility details, connection generation in URI, JSON, and environment-variable formats, ecosystem statistics, and a structured JSON API. ### Source excerpt Today we're launching the Apache Airflow Registry -- a searchable catalog of every official Airflow provider and its modules, live at airflow.apache.org/registry/. Need an S3 operator? A Snowflake hook? An OpenAI sensor? The Registry helps you find, compare, and configure the right components for your data pipelines -- without digging through docs or PyPI pages. By the Numbers 98 Official providers 1,602 Modules (operators, hooks, sensors, triggers, transfers, and more) 329M+ Monthly PyPI downloads across all providers 125+ Integrations with cloud platforms, databases, ML tools, and messaging services Search Everything Hit Cmd+K from any page and start typing. Results show up instantly, grouped by Providers and Modules, with type badges so you can tell a hook from an operator at a glance. Provider Pages Each provider gets a dedicated page with everything in one place: install command with copy-to-clipboard, version selector, extras dropdown, compatibility info, connection types, and the full module listing organized by type. The Amazon provider, for example, has 372 modules across operators, hooks, sensors, triggers, transfers, and more. Module type tabs let you filter to exactly what you're looking for, and a category sidebar groups modules by AWS service (S3, Lambda, Glue, Step Functions, etc.). Connection Builder Click any connection type badge on a provider page, fill in the fields, and the builder generates the connection in three formats -- URI, JSON, and Env Var -- ready to copy into your configuration. No more guessing URI encoding or JSON structure. Explore by Category Not sure which provider you need? The Explore page organizes providers into categories: Cloud Platforms, Databases, Data Warehouses, Messaging & Notifications, AI & Machine Learning, Data Processing, and more. Statistics The Stats page breaks down the ecosystem: 848 operators, 298 hooks, 164 triggers, 157 sensors, 83 transfers, and more -- plus top providers by downloads and module count. JSON API ## Managing an Engineer's Week as a Queueing System DevFeed: [Managing an Engineer's Week as a Queueing System]() Original publisher: [Read original article]() Author: hello@ankit-rana.com Published: 2026-03-15T00:00:00Z Content type: opinion Language: en Sources: [Ankit Rana | Mechanical Sympathy]() Topics: [queueing theory](), [scheduling](), [systems](), [Server]() Tags: [email](), [focus](), [minutes](), [notifications](), [productivity](), [queueing-theory](), [scheduling](), [servers](), [slack](), [software-engineering](), [system](), [time-management](), [work]() ### AI overview The article argues that software engineers' schedules behave like queueing systems: near-total utilization increases waiting time, while interruptions evict working context. It recommends maintaining schedule headroom, batching communications, and limiting work in progress. ### Source excerpt An engineer's week behaves like a queueing system: book yourself at 100% utilization and the wait time for anything new goes vertical, exactly as it does for a server. The fixes are the ones we already use in systems: keep headroom, coalesce interrupts instead of taking them one by one, cap work in progress because Little's law applies to you, and stop letting urgent-but-small tasks hold the lock while important work starves. ## Webmux: a web dashboard for parallel AI coding agents DevFeed: [Webmux: a web dashboard for parallel AI coding agents]() Original publisher: [Read original article]() Author: Farhad Goulamabasse Published: 2026-03-10T00:00:00Z Content type: article Language: en Sources: [Windmill Blog]() Topics: [AI-assisted coding](), [dashboards](), [Git](), [GitHub](), [Claude](), [codex](), [ci](), [Docker](), [Command-line interface](), [Web](), [Open Source]() Tags: [agents](), [ai](), [ai-coding-agents](), [ai-developer-tools-open-source-agents](), [ci](), [claude](), [cli](), [codex](), [coding](), [dashboards](), [developer-tools](), [docker](), [git](), [github](), [notifications](), [open-source](), [terminal](), [web]() ### AI overview Windmill introduces Webmux, an open-source web dashboard and CLI for creating, monitoring, and managing parallel AI coding agents across Git worktrees. It combines embedded Claude and Codex terminal sessions with GitHub pull request and CI tracking, service health monitoring, notifications, and Docker sandboxing. ### Source excerpt How does Webmux help engineers run parallel AI coding agents across git worktrees from a single web dashboard? ## Lumos: Inside Dream11's Leap from Task-Based Models to Foundational Intelligence DevFeed: [Lumos: Inside Dream11's Leap from Task-Based Models to Foundational Intelligence]() Original publisher: [Read original article]() Author: Dream Blog Published: 2026-01-22T06:40:39Z Content type: article Language: en Sources: [Dream11 Engineering]() Topics: [foundation-models](), [Sports](), [Machine learning](), [Large language models (LLMs)]() Tags: [analysis](), [competition](), [context](), [dream11](), [fragmentation](), [incremental](), [llm](), [ml](), [models](), [notifications](), [personalisation](), [scale](), [sports](), [systems](), [tech]() ### AI overview Dream11 describes Lumos, a foundation model for personalisation that connects user behaviour, context, and changing interests across sports experiences. The article reports a 2.5% lift in ROC AUC and a 4.6% reduction in MAPE across key tasks, while replacing dozens of task-specific systems with a single scalable foundation. ### Source excerpt By Dhruv Nigam At Dream11, our mission to 'make every match more exciting' starts with a simple truth: every fan experiences sport differently. Some users show up for marquee matches, while others engage consistently across the season. Some enjoy deep analysis; others come for emotion, banter, and shared moments. Even how fans prefer to be spoken to -- through in-app communication or notifications -- varies, from playful and expressive to direct and informational. In sports, context changes everything. A quiet weekday feels very different from the eve of a knockout match, and behaviour shifts with formats, rivalries, and the stage of competition. Personalisation at Dream11 therefore goes beyond surface-level customisation -- it's about understanding fans in motion and how their interests evolve. We've long recognised this challenge, but understanding and acting on these signals across millions of users, each with their own patterns and preferences, is far from easy. Over time, it became clear that small, incremental ML enhancements wouldn't get us where we needed to go. To stay truly user-first, we needed a system that could connect behaviour, context, and past, present, and future moments, all at once. That realisation led us to a ground-up rethink of how we build models at Dream11, and eventually, to Lumos -- our foundation model for personalisation. Lumos helped deliver a 2.5% lift in ROC AUC (Area Under the Receiver Operating Characteristic Curve) and a 4.6% reduction in MAPE (mean absolute percentage error) across key tasks, significantly improving personalisation, while replacing dozens of task-specific systems with a single, scalable foundation.The Problem: When Task-Based Models Stop Scaling For a long time, our personalisation stack relied on 50+ small, specialised models, each designed to understand a narrow aspect of user behaviour. Some models focused on sports affinity, others on language preferences or communication style. While these were effective in iso ## Deploy a Spin Application to Send Azure Monitor Alerts to Slack DevFeed: [Deploy a Spin Application to Send Azure Monitor Alerts to Slack]() Original publisher: [Read original article]() Author: Kate Goldenring Published: 2025-09-18T12:00:00Z Content type: tutorial Language: en Sources: [Fermyon - Experience the next wave of cloud computing.]() Topics: [Azure](), [Slack](), [notifications](), [monitor](), [App]() Tags: [application](), [azure](), [bridge](), [deploy](), [monitor](), [notifications](), [slack]() ### AI overview A tutorial on deploying a Spin application that transforms Azure Monitor alerts into formatted Slack notifications. ### Source excerpt Deploy a Spin application that transforms Azure Monitor alerts into beautifully formatted Slack notifications ## Introducing Action Push Native DevFeed: [Introducing Action Push Native]() Original publisher: [Read original article]() Author: Jacopo Beschi Published: 2025-08-18T17:00:00Z Content type: release Language: en Sources: [37signals Dev]() Topics: [Rails](), [notifications](), [push-notification](), [Mobile](), [rate-limiting](), [HTTP](), [Amazon Web Services]() Tags: [aws](), [http](), [mobile](), [notifications](), [push-notification](), [push-notifications](), [rails](), [rate-limiting]() ### AI overview 37signals introduces Action Push Native, an open-source Rails gem for sending push notifications directly through Apple Push Notification service and Google Firebase Cloud Messaging. The gem supports retries, rate limiting, and automatic removal of inactive devices. ### Source excerpt A Rails gem for sending push notifications to mobile platforms. [Next page]()