# Code Published articles for Code. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Why human oversight is shifting from writing code to defining requirements DevFeed: [Why human oversight is shifting from writing code to defining requirements]() Original publisher: [Read original article]() Author: Naseeb Ahmed Mian Published: 2026-09-17T13:00:00Z Content type: opinion Language: en Sources: [The New Stack]() Topics: [Requirements](), [AI Agent](), [Code](), [Availability]() Tags: [agent](), [agents](), [ai-agents](), [ai-engineering](), [andela](), [automated](), [availability](), [code](), [pipeline](), [post-contributed](), [requirements](), [review](), [software-development](), [sponsor-andela](), [sponsored-post-contributed](), [tests]() ### AI overview The article argues that human oversight of AI-assisted software development should focus on defining and reviewing requirements, not only checking whether generated code conforms to them. It illustrates the risk with a flawed availability-related requirement that passed specification review, generated six passing tests, traceability checks, and automated QA while violating the feature's intended outcome. ### Source excerpt This walks through the pipeline our agents operate inside--from a recorded scoping meeting through unit specs, spec review, generated code, The post Why human oversight is shifting from writing code to defining requirements appeared first on The New Stack. ## Write End-to-End Tests in Your Backend's Language DevFeed: [Write End-to-End Tests in Your Backend's Language]() Original publisher: [Read original article]() Author: James McConkey Published: 2026-09-17T12:00:42Z Content type: tutorial Language: en Sources: [Atomic Object]() Topics: [Testing](), [Playwright](), [FastAPI](), [Python](), [test data](), [Pydantic](), [SQLAlchemy](), [ASP.NET Core](), [PostgreSQL](), [Docker Compose]() Tags: [asp-net-core](), [code](), [data](), [docker-compose](), [fastapi](), [playwright](), [postgresql](), [project-team-management](), [python](), [sqlalchemy](), [tests](), [the-software-life]() ### AI overview This article argues that end-to-end test-data setup is often the main design challenge, because tests must create consistent domain records while running alongside other tests. It recommends using browser-testing tools in the backend's language when possible, keeping meaningful relationships inline, and extracting small creation helpers without hiding scenario intent. ### Source excerpt The browser is often the easiest part of an end-to-end test. Consider a test that verifies a user can complete an overdue task. The visible interaction is small: sign in, find the task, click Complete, and observe the new status. Before any of that can happen, the test needs a workspace, a user, a project, and [...] The post Write End-to-End Tests in Your Backend's Language appeared first on Atomic Spin. ## Libreboot Build System Audit 6 DevFeed: [Libreboot Build System Audit 6]() Original publisher: [Read original article]() Author: Leah Rowe Published: 2026-09-17T04:32:50.666044Z Content type: article Language: en Sources: [News about Libreboot releases and development]() Topics: [audit](), [POSIX](), [Shell](), [Code](), [releases]() Tags: [audit](), [bios](), [build-system](), [canoeboot](), [code](), [coreboot](), [free-software](), [libre](), [libreboot](), [opensource](), [release](), [return](), [shell](), [uefi]() ### AI overview This article reports on the sixth audit of Libreboot's lbmk build system. It describes code cleanup, bug fixes, feature changes, and a reduction from 1,482 to 1,109 lines of shell script, a 25% decrease, between the Libreboot 20240612 release and the 19 July 2024 revision. ### Source excerpt Article: Libreboot Build System Audit 6 Web link: https://libreboot.org/news/audit6.html ## Binary Blob Reduction Policy DevFeed: [Binary Blob Reduction Policy]() Original publisher: [Read original article]() Author: Leah Rowe Published: 2026-09-17T04:32:50.666044Z Content type: article Language: en Sources: [News about Libreboot releases and development]() Topics: [libreboot](), [coreboot](), [configuration](), [Code]() Tags: [bios](), [canoeboot](), [code](), [configuration](), [coreboot](), [firmware](), [free-software](), [libre](), [libreboot](), [opensource](), [policy](), [uefi]() ### AI overview Libreboot's policy seeks to maximize software freedom across supported hardware by helping users study, modify, and share the project's source code and documentation. The article explains Libreboot's relationship to coreboot, its support for non-technical users, and its principled approach to reducing proprietary binary blobs and vendor code where possible. ### Source excerpt Article: Binary Blob Reduction Policy Web link: https://libreboot.org/news/policy.html ## Libreboot Build System Audit 2 DevFeed: [Libreboot Build System Audit 2]() Original publisher: [Read original article]() Author: Leah Rowe Published: 2026-09-17T04:32:50.666044Z Content type: article Language: en Sources: [News about Libreboot releases and development]() Topics: [audit](), [Development](), [Shell](), [Code](), [Documentation]() Tags: [audit](), [bios](), [bugs](), [build](), [canoeboot](), [code](), [coreboot](), [development](), [documentation](), [error-handling](), [free-software](), [general](), [libre](), [libreboot](), [opensource](), [shell](), [uefi]() ### AI overview This article reports on a completed audit of Libreboot's build system, lbmk, as of 11 September 2023. It describes bug fixes, improved documentation and error handling, fewer scripts, unified logic, and a reduction in shell source lines from 3,388 to 2,644, or 22%. ### Source excerpt Article: Libreboot Build System Audit 2 Web link: https://libreboot.org/news/audit2.html ## Most Simple Ajax Chat Ever DevFeed: [Most Simple Ajax Chat Ever]() Original publisher: [Read original article]() Author: Chris Hager Published: 2026-09-17T02:48:44.791916Z Content type: article Language: en Sources: [Chris Hager]() Topics: [Ajax](), [PHP](), [HTML](), [Code]() Tags: [code](), [files](), [github](), [html](), [http](), [php]() ### AI overview A project page describing a simple Ajax chat application created in January 2006. It explains the two-file implementation, pure JavaScript approach without libraries, text-based content storage, spam filtering, and two-step PHP setup. ### Source excerpt Most Simple Ajax Chat Ever A fun little project from January 2006. Back then ajax just started becoming popular, but with very few tools around. jQuery came out later that year, Github just two years later, in 2008. Original code on Github Original site on web.archive.org Featured on Wired in February 2006 Features Super simple Efficient spam filter (thanks to some live 'hackers' at launch) Only 2 files needed (index.html, w. ## AI Is Changing How We Code. It's Also Changing How We Learn. DevFeed: [AI Is Changing How We Code. It's Also Changing How We Learn.]() Original publisher: [Read original article]() Author: James Rempt Published: 2026-09-16T14:00:09Z Content type: opinion Language: en Sources: [Visual Studio Blog]() Topics: [Artificial Intelligence](), [Development](), [AI Development](), [Software]() Tags: [ai](), [code](), [developers](), [development](), [learning](), [software](), [software-development](), [visual-studio]() ### AI overview The article argues that AI tools are changing software development by helping developers write and understand code, troubleshoot problems, learn frameworks, and get answers quickly. It also emphasizes the continuing value of learning directly from other developers through practical education, hands-on discussion, and professional networking at events such as VSLive!. ### Source excerpt AI is changing software development at a pace no one can ignore. Developers now have powerful AI tools that can help us write code, understand unfamiliar codebases, troubleshoot problems, learn new frameworks, and get answers in seconds. That is an incredible opportunity. But as these tools become more capable, I believe something else is becoming more valuable [...] The post AI Is Changing How We Code. It's Also Changing How We Learn. appeared first on Visual Studio Blog. ## How to Review AI-Generated Python Code Efficiently DevFeed: [How to Review AI-Generated Python Code Efficiently]() Original publisher: [Read original article]() Author: Leodanis Pozo Ramos Published: 2026-09-16T14:00:00Z Content type: tutorial Language: en Sources: [Real Python]() Topics: [AI-assisted coding](), [Code review](), [Python](), [Pytest](), [coding]() Tags: [agents](), [ai](), [ai-coding-agents](), [code](), [coding-agents](), [how-to](), [python](), [review]() ### AI overview This tutorial presents a five-step workflow for reviewing AI-generated Python code. It recommends clarifying the code's intent, running automated checks such as ruff, mypy, bandit, and pytest, inspecting higher-risk areas, and confirming problems by running the code before fixing them. ### Source excerpt Learn an efficient workflow to review AI-generated code in Python: run ruff, mypy, bandit, and pytest, then catch the bugs agents get wrong. ## Slicker: A Tool for Moving Things in Python DevFeed: [Slicker: A Tool for Moving Things in Python]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-04-02T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Python](), [Refactoring](), [Tool](), [PyCharm]() Tags: [bug](), [code](), [engineering](), [infrastructure](), [news](), [pycharm](), [python](), [refactoring](), [tool]() ### AI overview This article explains why Khan Academy built Slicker, a tool for moving thousands of Python files, classes, and functions while updating references and imports. It also describes limitations the authors encountered with PyCharm's refactoring tools. ### Source excerpt By Ben Kraft Craig talked last post about our project to reorganize our whole Python codebase. This entails ... Read more ## Using static analysis in Python, JavaScript and more to make your system safer DevFeed: [Using static analysis in Python, JavaScript and more to make your system safer]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-07-26T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [JavaScript](), [Code quality](), [Python](), [Code review](), [Web Development](), [React]() Tags: [analysis](), [best-practices](), [code](), [code-quality](), [engineering](), [eslint](), [formatting](), [frontend](), [infrastructure](), [javascript](), [lint](), [news](), [python]() ### AI overview This article describes how Khan Academy uses custom linters and static analysis across JavaScript, Python, and Kotlin to prevent known bad patterns, keep duplicated logic or shared interfaces synchronized, and enforce frontend migration practices. ### Source excerpt By Kevin Dangoor "Linting" source code to look for errors is nothing new (the original "lint" tool turned ... Read more ## Ensuring transaction-safety in Google App Engine DevFeed: [Ensuring transaction-safety in Google App Engine]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-06-27T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Transactions](), [Databases](), [Code](), [Google]() Tags: [cache](), [code](), [database](), [engineering](), [google](), [hooks](), [infrastructure](), [news](), [tracing](), [transactions]() ### AI overview The article explains how Khan Academy uses transactions and user-write locks with Google App Engine to prevent database corruption caused by concurrent requests overwriting one another. It describes hooks that detect transaction-safety violations and highlights caching and code-path mistakes that can cause stale data to be used inside transactions. ### Source excerpt By Craig Silverstein In last week's exciting post, I described an alternative to transactions that we use at ... Read more ## Our Transition to React Native DevFeed: [Our Transition to React Native]() Original publisher: [Read original article]() Author: Khan Academy Published: 2020-07-09T22:00:00Z Content type: opinion Language: en Sources: [Khan Academy]() Topics: [React Native](), [Android](), [iOS](), [Mobile](), [React]() Tags: [android](), [android-apps](), [architectures](), [backend](), [bridge](), [business-logic](), [change](), [code](), [engineering](), [ios](), [mobile](), [news](), [react-native]() ### AI overview Khan Academy describes completing its transition to React Native for its iOS and Android apps. The article explains why the team moved away from separate platform codebases and outlines the transition's exploration, straddling, and extinction phases. ### Source excerpt In 2017, Khan Academy started using React Native in our iOS and Android apps. As of this year, we've reached a big milestone: our transition to React Native is complete! Every screen in the app is rendered in React Native. ## Making thumbnails fast DevFeed: [Making thumbnails fast]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-09-14T22:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [Image](), [pixel](), [Server](), [Software]() Tags: [article](), [blog](), [code](), [color](), [components](), [design](), [engineering](), [image](), [images](), [news](), [rgb](), [software](), [web-frontend]() ### AI overview Khan Academy explains how it generated custom video thumbnails by resizing, desaturating, lightening, color-tinting, and overlaying text and branding on source images. The post also explains pixel multiplication and why the team implemented the image operations themselves because its server infrastructure could not use available libraries. ### Source excerpt Note: This post contains quite a bit of LaTeX notation, which is not supported right now on this ... Read more ## Introducing SwiftTweaks DevFeed: [Introducing SwiftTweaks]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-05-09T22:00:00Z Content type: release Language: en Sources: [Khan Academy]() Topics: [Swift](), [iOS](), [Xcode](), [Objective-C](), [feature flags]() Tags: [code](), [engineering](), [feature](), [feature-flags](), [interface](), [ios](), [mobile](), [news](), [objective-c](), [swift](), [xcode]() ### AI overview Khan Academy introduces SwiftTweaks, a Swift library for adjusting parameters in iOS apps on a device without recompiling. The article explains how to create tweak libraries, use tweak values and bindings, adjust animation settings, and access the runtime interface. ### Source excerpt By Bryan Clark Today, we're releasing SwiftTweaks, a way to adjust your Swift-based iOS app without needing to ... Read more ## The Great Python Refactor of 2017 And Also 2018 DevFeed: [The Great Python Refactor of 2017 And Also 2018]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-03-19T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Python](), [Refactoring](), [Code](), [Development](), [Tool]() Tags: [2017](), [blog-post](), [code](), [dev](), [engineering](), [infrastructure](), [news](), [python](), [refactor](), [refactoring]() ### AI overview This first article in a series describes Khan Academy's 2017-2018 Python refactoring effort. It explains how an overloaded codebase structure developed, the changes made to organize files and directories, and the difficulties of the work. ### Source excerpt By Craig Silverstein Our codebase was a mess. One day, we decided to do something about it: namely, ... Read more ## Babel in Khan Academy's i18n Toolchain DevFeed: [Babel in Khan Academy's i18n Toolchain]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-06-22T22:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [Babel](), [Internationalization (i18n)](), [toolchain](), [es6](), [JavaScript](), [Parser](), [Universal Syntax Tree.](), [Open Source]() Tags: [api](), [architecture](), [babel](), [build](), [build-system](), [code](), [engineering](), [es6](), [eslint](), [frontend](), [javascript](), [news](), [plugin](), [source](), [structure](), [syntax](), [tests](), [toolchain](), [types](), [web-frontend](), [workflow]() ### AI overview Khan Academy describes switching its ES6 and JSX frontend compilation from jstransform to Babel. The article explains a custom Babel plugin for preserving the project's internationalization behavior and discusses matching generated output, line numbers, whitespace, and the existing build chain. ### Source excerpt By Kevin Barabash We've been using ES6 (along with JSX) for sometime at Khan Academy. Right now, we're ... Read more ## i18nize-templates: Internationalization After the Fact DevFeed: [i18nize-templates: Internationalization After the Fact]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-09-28T22:00:00Z Content type: release Language: en Sources: [Khan Academy]() Topics: [Internationalization (i18n)](), [Localization (l10n)](), [Open Source](), [Python](), [Handlebars](), [HTML](), [Library](), [Code](), [JavaScript](), [Babel]() Tags: [babel](), [code](), [engineering](), [html](), [infrastructure](), [javascript](), [language](), [languages](), [library](), [news](), [open-source](), [programming](), [python]() ### AI overview Khan Academy describes retrofitting its English-only codebase for internationalization and localization across several HTML-rendering technologies. It introduces i18nize-templates, an open-source Python module that finds natural-language text in HTML and templates and marks it as i18n-aware. The tool supports raw HTML, jinja2, and Handlebars templates and reportedly reduces template annotation time by over 90%. ### Source excerpt By Craig Silverstein Khan Academy started as a collection of videos, but now has over 100,000 pieces of ... Read more ## Untangling our Python Code DevFeed: [Untangling our Python Code]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-04-16T22:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [Python](), [Code](), [import]() Tags: [code](), [dependencies](), [dependency](), [engineering](), [infrastructure](), [news](), [organization](), [python](), [refactor](), [structure]() ### AI overview This article explains how Khan Academy addressed tangled dependencies in its Python codebase during its 2017 and 2018 refactoring work. It describes why dependency order matters, the problems caused by circular and poorly organized imports, and the use of package-based rules to guide code organization and detect problematic dependencies. ### Source excerpt By Carter Bastian The previous posts about The Great Khan Academy Python Refactor of 2017 and Also 2018 ... Read more ## Khan Academy Uses Local Storage and Request Queues to Handle Offline Actions DevFeed: [Khan Academy Uses Local Storage and Request Queues to Handle Offline Actions]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-08-17T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [LocalStorage](), [client](), [Code](), [Internet](), [servers]() Tags: [architecture](), [change](), [code](), [engineering](), [function](), [hints](), [linear](), [local](), [news](), [offline](), [queue](), [request](), [server](), [web-frontend]() ### AI overview This article explains how Khan Academy addressed offline hint cheating by changing the client's request architecture. Actions are stored in local storage and placed in a queue for retry when connectivity returns, with linear backoff to avoid repeated requests during outages. ### Source excerpt By Phillip Lemons The problem Recently, a number of students on Khan Academy found a way to cheat ... Read more ## Object-Oriented UI Design: How You Can Collaborate Seamlessly with Developers and Build Better Products DevFeed: [Object-Oriented UI Design: How You Can Collaborate Seamlessly with Developers and Build Better Products]() Original publisher: [Read original article]() Author: William Hudson Published: 2026-09-16T09:07:08Z Content type: tutorial Language: en Sources: [UX Daily - User Experience Daily]() Topics: [User interface design](), [User Experience](), [Code](), [Testing]() Tags: [code](), [design](), [developer](), [ui](), [user-testing]() ### AI overview This video tutorial explains object-oriented UI design as a way for designers and developers to share a conceptual model. It uses familiar objects such as appointments, their attributes, and their operations to clarify collaboration and create more natural interfaces. ### Source excerpt You're at your routine health checkup, sipping an iced coffee on a hot day. Suddenly, you get a sharp pain in your head. The doctor looks up from her notes, a sympathetic expression on her face. "You're experiencing sphenopalatine ganglioneuralgia." Your heart sinks. The coffee cup drops to the floor. Medication? Surgery? How long do you have? "Sorry! Doctor speak," she says, noticing your panic. "You have brain freeze." Two completely different terms for the exact same thing, and one of them nearly gave you a panic attack.Designers and developers do this to each other all the time. You call it an "appointment," the developer calls it an "event," and the database calls it a "record." Everyon... ## CodeSOD: Extremely One Line DevFeed: [CodeSOD: Extremely One Line]() Original publisher: [Read original article]() Author: Remy Porter Published: 2026-09-16T06:30:00Z Content type: opinion Language: en Sources: [The Daily WTF]() Topics: [ASP.NET](), [Code](), [Visual Studio](), [Command-line interface](), [browser](), [HTTP]() Tags: [asp-net](), [browser](), [cli](), [code](), [codesod](), [http](), [studio]() ### AI overview This CodeSOD commentary examines an ancient ASP .Net application containing a function written on one line, Safari user-agent detection, and a mysterious "uplevel" value. It criticizes the confusing style and notes that the same pattern appears on multiple pages. ### Source excerpt Autoformatting your code is a standard thing to do these days. And in those days past, if we're being honest. There's no excuse to not use some kind of autoformatter. Whether you configure your editor to do it or are a weirdo like me who runs a formatter from the CLI as a build step, you've got an easy way to format your code so it looks neat and readable. And some IDEs, like Visual Studio, are pretty insistent about doing this for you. Which makes today's code sample a bit more perplexing. This comes from an ancient ASP .Net application that Austin has the misfortune to work with: protected void Page_PreInit(object sender, EventArgs e){if (Request.ServerVariables["http_user_agent"].IndexOf("Safari", StringComparison.CurrentCultureIgnoreCase) != -1)Page.ClientTarget = "uplevel";} protected void Page_Load(object sender, EventArgs e) { Logic(); } Which function is Logic() called from? The fact that I'm asking probably is enough to get you to scroll over. The entire Page_PreInit function is on a single line, followed by the declaration of the Page_Load function. A confusing and annoying choice. The real bonus is that if the browser has "Safari" in its user agent, we set a field to a mysterious "uplevel" value. A mix of user agent sniffing, strings as enums/flags, and wonderfully unclear names. And yes, this particular pattern appears in more than one page in Austin's application. Someone thought this was not just a good idea, but good enough to do over and over again. [Advertisement] Picking up NuGet is easy. Getting good at it takes time. Download our guide to learn the best practice of NuGet for the Enterprise. ## Shared Selective Persistent Memory for Agentic LLM Systems DevFeed: [Shared Selective Persistent Memory for Agentic LLM Systems]() Original publisher: [Read original article]() Published: 2026-09-16T00:00:00Z Content type: article Language: en Sources: [Apple Machine Learning Research]() Topics: [Large Language Model](), [agent observability](), [Framework](), [Code](), [configuration](), [Access Control](), [Git](), [Model Context Protocol (MCP)](), [CSV](), [SQL](), [Grafana]() Tags: [access-control](), [agentic](), [agents](), [code](), [configuration](), [csv](), [dashboards](), [git](), [llm](), [mcp](), [memory](), [platform](), [replication](), [sql]() ### AI overview This research introduces shared selective persistent memory for agentic LLM systems. The architecture retains reusable task specifications, data schemas, tool configurations, and output constraints while discarding session-specific reasoning traces. Shared workspaces support role-based collaborative reuse, and experiments report higher task completion than no memory or full-history persistence, along with zero-token data refresh and lower token costs. ### Source excerpt Agentic LLM systems that generate code through multi-turn tool use face a fundamental context problem: each session starts from zero, discarding the configuration choices, domain constraints, data schemas, and tool-use patterns that made previous sessions productive. Naively persisting entire conversation histories is both token-inefficient and counterproductive--irrelevant context degrades generation quality. We introduce shared selective persistent memory, a memory architecture for agentic systems that identifies and retains four categories of reusable context--task specifications, data... ## Glyph: A Multi-Strategy Agentic System for Column Description and Sensitivity-Ontology Tagging of Enterprise Data Catalogs DevFeed: [Glyph: A Multi-Strategy Agentic System for Column Description and Sensitivity-Ontology Tagging of Enterprise Data Catalogs]() Original publisher: [Read original article]() Published: 2026-09-16T00:00:00Z Content type: article Language: en Sources: [Apple Machine Learning Research]() Topics: [data](), [Large Language Model](), [Code](), [Retrieval-Augmented Generation](), [Access Control](), [Graphs](), [GitHub]() Tags: [agents](), [classification](), [code](), [data](), [documentation](), [governance](), [production](), [provenance](), [retrieval](), [vector-database]() ### AI overview Glyph is a production system for generating column descriptions and assigning sensitivity-ontology labels in enterprise data catalogs. It uses cooperating LLM agents, source-code-grounded retrieval, parallel tagging strategies, vector-based metadata matching, and ranked-output fusion to support auditable cataloging. ### Source excerpt Enterprise data lakes accumulate tables faster than human stewards can document or classify them, leaving columns with missing descriptions and unassigned governance labels. This documentation debt undermines data discovery, access control, and regulatory compliance. We present Glyph, a production system that frames two coupled problems, column description generation and column type annotation for data classification, as cooperating LLM agents orchestrated as stateful graphs. The Descriptor grounds generation in the pipeline source code that produces each column, retrieved on demand from an... ## From alert to resolution: Manage incidents with Bits Chat in Slack DevFeed: [From alert to resolution: Manage incidents with Bits Chat in Slack]() Original publisher: [Read original article]() Author: Nancy Zhu; Evan Marcantonio; Nicole Parisi; Chris Miller Published: 2026-09-16T00:00:00Z Content type: tutorial Language: en Sources: [Datadog | The Monitor blog]() Topics: [incident](), [Slack](), [Artificial Intelligence](), [telemetry](), [Code](), [Pull Request]() Tags: [ai](), [also](), [bits-ai](), [code](), [collaboration](), [ecommerce](), [incident](), [monitor](), [root-cause-analysis](), [slack](), [telemetry]() ### AI overview This tutorial explains how Bits Chat in Slack can support incident response by investigating alerts, analyzing telemetry, coordinating responders, generating a pull request for a fix, and tracking follow-up work within the incident channel. ### Source excerpt Use Bits Chat in Slack to investigate incidents, collaborate with responders, make code fixes, and capture follow-up work where your team communicates. 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