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Summaries are not the original full articles. ## The guest journey, updated in real time: extending Airbnb's sequence recommender with Chronon DevFeed: [The guest journey, updated in real time: extending Airbnb's sequence recommender with Chronon]() Original publisher: [Read original article]() Author: Pengyu Hou Published: 2026-09-17T17:01:02Z Content type: article Language: en Sources: [The Airbnb Tech Blog - Medium]() Topics: [real-time](), [recommendation systems](), [data](), [Transformer](), [Inference](), [Latency](), [Open Source]() Tags: [ai](), [data](), [embeddings](), [engineering](), [inference](), [infrastructure](), [latency](), [machine-learning](), [open-source](), [ranking](), [real-time](), [repo](), [results](), [sequence](), [technology]() ### AI overview Airbnb describes extending its sequence-based recommender with Chronon's Push Mode and Near-real-time Model Transform capabilities. The changes update guest activity and model features more quickly, reducing the staleness of search-ranking inputs compared with the previous daily batch pipeline. ### Source excerpt How two new Chronon capabilities, Push Mode and NRT Model Transform, allows us to provide more relevant search results instantly as a guest explores, rather than waiting for the next batch run. By: Pengyu Hou, Yuli Han, Daochen Zha, Haozhen Ding, Xin Liu, Sophie Wang, Pallavi Adusumilli, Sherry Li, Henry Saputra, Chun How Tan, Huiji Gao, Yan Zhang, Stephanie Moyerman, Yi Li, and Sanjeev Katariya A guest's interaction with Airbnb doesn't pause to wait for a nightly batch job. Someone might browse a dozen listings on a Tuesday afternoon, run a new search that evening, and expect the next search to reflect the recent activity; it's also to Airbnb's benefit for that to be the case. In our previous post, Personalizing Airbnb search by learning from the guest journey, we described how we built a Transformer-based sequence encoder that creates better, more personalized search rankings for a guest using the booking, review, and browsing data that is most relevant to them -- their own. That system ran as a daily batch job: each night it processed the previous day's activity and refreshed embeddings for guests who had something new to show for it. That design worked well, but it left a gap. Activity from earlier the same day wouldn't show up in the embedding until the following day's run, on top of the pipeline's own processing lag -- in practice, up to nearly two days of staleness. For a guest actively planning a trip, that meant the ranking model was often working from a slightly outdated picture of what they wanted, and the recent activities are often highly relevant to current search needs. This is a limitation that our original JourneyFormer research had already flagged as needing new serving infrastructure to solve. In this post, we describe how we closed that gap by adding two new capabilities to Chronon, Airbnb's feature platform: Near-real-time Model Transform and Push Mode. Chronon is an open source project, and these capabilities have been contributed back to our pub ## Inside the AI Stack of an $8.3B AI Company's Product Team | Together AI DevFeed: [Inside the AI Stack of an $8.3B AI Company's Product Team | Together AI]() Original publisher: [Read original article]() Author: Aakash Gupta Published: 2026-09-14T23:05:28Z Content type: article Language: en Sources: [Product Growth]() Topics: [Artificial Intelligence](), [context](), [repo](), [context window](), [Developer experience](), [GitHub](), [Linear]() Tags: [ai](), [context](), [context-window](), [developer-experience](), [github](), [linear](), [product](), [repo](), [team](), [tools]() ### AI overview The article examines Together AI's AI-oriented product team and describes four parts of its working stack: a shared context repository, reusable skills for research and product documentation, an orchestrator for product leaders, and agent evaluations. It explains how shared context files and workflows support collaboration across product areas, including automated weekly status updates using Linear, GitHub, and strategy documents. ### Source excerpt I got a truly AI-pilled product team to demo the 4 key tools in their stack ## How Srini Raghavan helped $3.4B SaaS Giant Freshworks Embrace the AI PDLC DevFeed: [How Srini Raghavan helped $3.4B SaaS Giant Freshworks Embrace the AI PDLC]() Original publisher: [Read original article]() Author: Aakash Gupta Published: 2026-08-24T23:16:09Z Content type: article Language: en Sources: [Product Growth]() Topics: [Software as a service](), [AI Agent](), [cursor](), [Design system](), [context](), [repo]() Tags: [ai](), [ai-agent](), [context](), [cursor](), [design-system](), [repo](), [saas]() ### AI overview The article summarizes how Freshworks moved from a six-month release process to a two-week cycle under Chief Product Officer Srini Raghavan. It describes an AI product development lifecycle built on structured data, a parsable design system, documented coding standards, a single source repository, contextual knowledge hubs, reusable AI builder artifacts, governed AI agents, and an evaluation phase. ### Source excerpt + Why he uses Grok models, and the future of the "Product Builder" role ## From Weeks to Hours: Inside Wix's Autonomous Bug-Fixing System DevFeed: [From Weeks to Hours: Inside Wix's Autonomous Bug-Fixing System]() Original publisher: [Read original article]() Author: Wix Engineering Published: 2026-08-19T10:17:19Z Content type: article Language: en Sources: [Wix Engineering]() Topics: [bug](), [Code review]() Tags: [architecture](), [autonomous](), [bug](), [code-review](), [context](), [database](), [jira](), [logs](), [pipeline](), [production](), [repo](), [support]() ### AI overview Wix describes the architecture behind Wix Orchestrator, an autonomous bug-fixing system designed to reduce the time from user reports to production fixes. The system automates investigation, context gathering, implementation, and code review, while requiring a human engineer to approve every fix before deployment. ### Source excerpt A user opens a support ticket. Their subscription cancellation stopped working. Somewhere inside a system with thousands of services and millions of users, something broke. Before we built Wix Orchestrator, here's what happened next: the ticket joined a queue. Days later, a support engineer picked it up, tried to reproduce the issue, contacted the customer to gather more context, and opened a Jira ticket routed to R&D. We triaged it, prioritized it against everything else on our plate,... ## The npm worm that installs itself into your coding agent DevFeed: [The npm worm that installs itself into your coding agent]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-06T15:20:55Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [npm](), [Claude Code](), [Visual Studio Code](), [GitHub](), [JavaScript](), [Command-line interface]() Tags: [agent](), [claude-code](), [code](), [github](), [hooks](), [npm-worm](), [repo](), [shai-hulud](), [vscode](), [worm]() ### AI overview The article analyzes a Shai-Hulud npm worm that plants executable hooks in .claude/settings.json and .vscode/tasks.json. Opening a compromised repository can trigger the payload in VS Code or Claude Code, creating an attack path that install-time defenses may not detect. ### Source excerpt A Shai-Hulud wave plants hooks in .claude/settings.json and .vscode/tasks.json, so opening a repo runs the payload. Agent config is executable surface now. ## Scheduling Claude Code for Nightly Repository Maintenance DevFeed: [Scheduling Claude Code for Nightly Repository Maintenance]() Original publisher: [Read original article]() Author: Eric Roby Published: 2026-07-28T12:03:08Z Content type: tutorial Language: en Sources: [Eric Roby]() Topics: [Claude Code](), [Security](), [Refactoring](), [ci](), [hooks](), [Code]() Tags: [automated](), [ci](), [claude-code](), [github-action](), [hooks](), [how-to](), [refactor](), [repo](), [security]() ### AI overview The article explains how to schedule Claude Code in headless mode for recurring repository maintenance. It recommends focused jobs for security sweeps, refactoring scans, and enhancement reviews, using structured JSON output and the --bare option for consistent scripted runs. ### Source excerpt How to schedule headless runs for nightly security sweeps, refactor scans, and enhancement ideas ## Agent Skills, DeepMind Reads a Model's Mind, and GitHub's One-Word Repo Leak: The Tokenizer Edition #34 DevFeed: [Agent Skills, DeepMind Reads a Model's Mind, and GitHub's One-Word Repo Leak: The Tokenizer Edition #34]() Original publisher: [Read original article]() Author: Sairam Sundaresan Published: 2026-07-14T02:47:15Z Content type: article Language: en Sources: [Gradient Ascent]() Topics: [Artificial Intelligence](), [Agent Skills](), [GitHub](), [GitHub Copilot](), [Code review]() Tags: [agent-skills](), [ai](), [code-review](), [copilot](), [github](), [repo](), [skills]() ### AI overview A newsletter roundup of AI and machine-learning resources covering generative 3D Earth reconstruction, downloadable reasoning models, research agents, robotics video models, model interpretability, coding agents, GitHub security, Copilot code review, and developer tools and learning materials. ### Source excerpt This week's most valuable AI resources ## Forking an open source project DevFeed: [Forking an open source project]() Original publisher: [Read original article]() Author: jonskeet Published: 2026-07-11T12:54:14Z Content type: opinion Language: en Sources: [Jon Skeet]() Topics: [MIDI](), [Open Source](), [Windows 11](), [NuGet](), [repo](), [.NET]() Tags: [c-sharp](), [nuget](), [open-source](), [release](), [repo](), [windows-11]() ### AI overview The author explains why managed-midi stopped working properly on fully updated Windows 11 installations and discusses plans to potentially publish and maintain a fork after fixes were accepted by the original author. ### Source excerpt Introduction and motivation Some of the projects I work on - notably V-Drum Explorer and At Your Service - use MIDI to interact with hardware devices. I use a couple of packages for this depending on the nature of the interaction, but the one I use most often is managed-midi, which currently has its "source ... Continue reading Forking an open source project -> ## Software Engineering Rules Explained Through Stories, Trade-offs, and Decision Records DevFeed: [Software Engineering Rules Explained Through Stories, Trade-offs, and Decision Records]() Original publisher: [Read original article]() Author: Davide Angelocola Published: 2026-07-04T00:00:00Z Content type: article Language: en Sources: [Davide Angelocola]() Topics: [Software Engineering](), [engineering-culture](), [Refactoring](), [Wiki](), [trust]() Tags: [agent](), [architecture](), [engineering](), [markdown](), [repo](), [software-engineering](), [wiki]() ### AI overview The author revisits a list of software engineering rules, retaining principles grounded in personal experience and explaining the reasoning behind them. The article emphasizes documenting trade-offs through mechanisms such as code comments, project wikis, and Architecture Decision Records, including in repositories used by AI-assisted development workflows. ### Source excerpt Once in a while, someone shares an "X rules of software engineering" list and I find myself agreeing with about a third of it. This is my pass through one such list -- keeping what I've actually had to write down somewhere, dropping what I haven't, and rewriting the rest in my own language. Each rule opens with an extract from the story where it was earned. ## Inside the Git Hooks: Tagging Every AI Agent Commit (Part 3) DevFeed: [Inside the Git Hooks: Tagging Every AI Agent Commit (Part 3)]() Original publisher: [Read original article]() Author: Eugene Petrenko Published: 2026-06-26T00:00:00Z Content type: tutorial Language: en Sources: [Eugene Petrenko]() Topics: [Git](), [hooks](), [AI Agent](), [observability](), [Security]() Tags: [ai-agent](), [ai-agents](), [ai-coding](), [capture](), [commit](), [eugene-petrenko](), [git](), [git-hooks](), [infrastructure](), [jonnyzzz](), [provenance](), [repo](), [sandbox](), [tag-41199d53f463](), [workflow]() ### AI overview This third-part tutorial explains a best-effort Git hook layer for AI agents running inside a sandbox. The hooks stamp session IDs on commits, preserve the tags through amend, rebase, and squash, and capture restorable copies of pushed changes while continuing to run repository-local hooks. ### Source excerpt Part 3 -- the build for the lighter solution. How a set of git hooks stamps a session id on every commit an AI Agent makes, survives squash and rebase, and captures each push -- all best-effort, all inside the sandbox. ## Introducing Kempt DevFeed: [Introducing Kempt]() Original publisher: [Read original article]() Author: Zac Sweers Published: 2026-06-23T00:00:23Z Content type: release Language: en Sources: [Zac Sweers]() Topics: [formatting](), [pre-commit](), [hooks](), [ci](), [repo](), [Java](), [Kotlin](), [Rust]() Tags: [ci](), [formatting](), [gradle](), [hooks](), [java](), [kotlin](), [open-source](), [pre-commit](), [repo](), [rust]() ### AI overview The article introduces Kempt, a small project designed to replace heavy Gradle-based formatting setups with a repo-local pipeline for formatting and commit hooks. It supports Kotlin, Java, and Rust, and can run locally, in pre-commit hooks, and in CI. ### Source excerpt Formatting should be boring, in the best possible way. ## What Did the Agent Just Push? Auditing Git for AI Agents DevFeed: [What Did the Agent Just Push? Auditing Git for AI Agents]() Original publisher: [Read original article]() Author: Eugene Petrenko Published: 2026-06-20T00:00:00Z Content type: tutorial Language: en Sources: [Eugene Petrenko]() Topics: [Git](), [AI Agent](), [audit](), [Clash](), [hooks](), [repo]() Tags: [ai-agents](), [ai-coding](), [audit](), [eugene-petrenko](), [git](), [hooks](), [infrastructure](), [jonnyzzz](), [proxy](), [pull-request](), [repo](), [tag-41199d53f463](), [workflow]() ### AI overview This article presents an approach for auditing autonomous AI agents that work with Git repositories. It recommends keeping real credentials away from agents, using a Git proxy as a hard boundary to limit which branches can change, and using Git hooks as a lighter, best-effort layer for provenance and telemetry. ### Source excerpt When you hand a repo to an autonomous AI Agent, you need to bound what it can touch and capture what it did. Part 1 -- the approach -- keep the keys away from the agent, a git proxy as the hard boundary, and git hooks as the lighter alternative. ## From Figma to code in minutes: How I built UI Studio with AI DevFeed: [From Figma to code in minutes: How I built UI Studio with AI]() Original publisher: [Read original article]() Author: Jayant Kumar Published: 2026-06-18T07:01:03Z Content type: tutorial Language: en Sources: [Amex GBT Technology]() Topics: [Figma](), [ui](), [React](), [Anthropic Claude](), [Prompt Engineering](), [repo](), [Terminal]() Tags: [ai](), [anthropic-claude](), [figma](), [frontend-development](), [prompt-engineering](), [react](), [repo](), [software-development](), [terminal](), [ui](), [ui-design]() ### AI overview This tutorial explains how the author built UI Studio, a tool that generates UI code using Egencia's internal UITK React components from a prompt, a Figma URL, or a screenshot. It describes the original feasibility-checking workflow and the tool's progression from a local prototype to a deployable application. ### Source excerpt Whether you're a developer checking feasibility or a designer wanting to see your Figma come to life in real code, UI Studio is built for both. If you've ever worked on a product team, you know the dance, a designer hands over a Figma file, but before anyone writes a single line of production code, a developer has to answer one question: Is this buildable with our component library? At Egencia by Amex GBT, we use UITK (UI Toolkit), our internal component library built on React. It gives developers a set of standardized components to build consistent UIs across our products. As part of Egencia, that question kicks off a process that can take days. We open the doc site, scan the components, write some test code in the React playground or our own repo, and eventually come back to the designer with a verdict. If something isn't feasible, the design goes back for revisions. Then we check again and finally start building. It works. But it's slow. And I couldn't help but wonder whether there was a better way. The idea Earlier this year, I was doing the Anthropic Claude course and somewhere between learning about prompt engineering and working through the hands-on labs, it clicked. What if I could skip the whole feasibility loop and just generate the UI directly using our actual UITK components, from a prompt, a Figma link, or even a screenshot? That was the seed. A few weeks later, UI Studio was live. Figure 1: UI Studio, describe what you want, drop an image, or paste a Figma URLHow it got built It took about three to four weeks to build, and it wasn't linear. It went through three very different versions before becoming what it is today. Phase 1: The hacky local version The first version was built to prove the idea, not to share it. I cloned the UITK doc site repo locally, fetched component data directly from it, and created a proxy that passed all user input to the model via terminal. It worked on my machine. But getting anyone else to use it would have meant cloning re ## Preventing Cypress Test Failures When Reloaded Elements Detach from the DOM DevFeed: [Preventing Cypress Test Failures When Reloaded Elements Detach from the DOM]() Original publisher: [Read original article]() Author: Gleb Bahmutov Published: 2026-06-17T04:00:00Z Content type: tutorial Language: en Sources: [Gleb Bahmutov]() Topics: [Cypress](), [Document Object Model (DOM)](), [navigation]() Tags: [blog-post](), [component](), [cypress](), [demo](), [how-to](), [navigation](), [products](), [repo](), [testing](), [verify]() ### AI overview This tutorial explains why Cypress end-to-end tests can fail when client-side navigation updates the page after a command has found an element. It demonstrates how delayed rendering can leave an old element attached to the test subject and recommends waiting for the expected component or DOM state before continuing the command chain. ### Source excerpt Have you ever encountered end-to-end test error "... failed because the page updated as a result of this command, but you tried to c ## Beyond Inline Values: Evolving Strata's Storage Engine DevFeed: [Beyond Inline Values: Evolving Strata's Storage Engine]() Original publisher: [Read original article]() Author: Nevin Zheng Published: 2026-06-03T00:00:00Z Content type: article Language: en Sources: [nevzheng]() Topics: [Rust](), [abstraction](), [SQL](), [olap]() Tags: [abstraction](), [block](), [bootstrapping](), [layout](), [migration](), [performance](), [repo](), [rust](), [sql](), [storage](), [storage-engine](), [write-amplification]() ### AI overview This architectural decision record proposes replacing Strata's inline value storage with a block-based abstraction. It describes the current Rust LSM storage engine and SQL layer, identifies flexibility and I/O amplification problems, compares options, and records the proposed direction. ### Source excerpt An architectural decision record: why Strata is moving from inline values to block-based storage. ## How to Set Up Codex as a PM and Run It Next to Claude DevFeed: [How to Set Up Codex as a PM and Run It Next to Claude]() Original publisher: [Read original article]() Author: Paweł Huryn Published: 2026-05-26T12:56:58Z Content type: tutorial Language: en Sources: [The Product Compass]() Topics: [codex](), [Claude Code](), [repo]() Tags: [claude-code](), [codex](), [how-to](), [ide](), [mcps](), [peer](), [repo](), [skills]() ### AI overview A tutorial about setting up Codex for product managers to access a repository without an IDE, run it alongside Claude Code, share skills and MCPs, and use it as a peer reviewer. ### Source excerpt A way into your repo without the IDE. Runs next to Claude Code, shares skills and MCPs, doubles as a peer reviewer. ## Fixing two minor git irritations in my OSS fork workflow DevFeed: [Fixing two minor git irritations in my OSS fork workflow]() Original publisher: [Read original article]() Author: Rob Published: 2026-05-26T10:00:00Z Content type: tutorial Language: en Sources: [Rob Allen]() Topics: [Git](), [Pull Request]() Tags: [branch](), [development](), [fork](), [git](), [oss](), [project](), [remote](), [repo](), [workflow]() ### AI overview A practical guide to reducing two minor irritations in an open-source Git fork workflow: ensuring the local main branch tracks upstream/main and configuring new branches to push to origin automatically on their first push. ### Source excerpt For OSS work, I work with two git remotes: upstream: the canonical OSS project repository, where main is the default branch and is what gets released. origin: a personal fork. All my feature branches live here. I set up locally like this: Fork the project repo to my account. Clone my fork locally, so the origin remote is my fork. Set an upstream remote using git remote add upstream . and then when working on... continue reading. ## PM Brain OS: The Second Brain for Product Managers, Made of Markdown DevFeed: [PM Brain OS: The Second Brain for Product Managers, Made of Markdown]() Original publisher: [Read original article]() Author: Paweł Huryn Published: 2026-05-20T13:09:25Z Content type: tutorial Language: en Sources: [The Product Compass]() Topics: [Claude Code](), [MDX](), [Open Source]() Tags: [audit-trail](), [claude](), [claude-code](), [dogfooding](), [markdown](), [open-source](), [provenance](), [rag](), [repo]() ### AI overview The article presents PM Brain, an open-source second-brain system for product managers built from Markdown files in a Git repository. Claude reads and updates the files according to a CLAUDE.md operating manual, while weekly sweeps promote recurring, decision-relevant, or strategy-relevant information into a durable layer. The system intentionally avoids vector databases, embeddings, cloud storage, and automatic tagging, and includes installation guidance, commands, architecture details, provenance, and evaluation results. ### Source excerpt A folder of files on your laptop. Claude reads them before answering, writes to them after, sweeps them every Friday. Open source. 17 synthetic PM scenarios, 404 of 406 checks pass (~=99.5%). ## Using Git Worktrees to Run Multiple Claude Code Sessions in Parallel DevFeed: [Using Git Worktrees to Run Multiple Claude Code Sessions in Parallel]() Original publisher: [Read original article]() Author: Eric Roby Published: 2026-05-12T14:08:41Z Content type: tutorial Language: en Sources: [Eric Roby]() Topics: [Git](), [Claude Code](), [Command-line interface](), [repo]() Tags: [agents](), [claude-code](), [context](), [git](), [parallel](), [repo](), [workflow]() ### AI overview The article explains how Git worktrees let developers run multiple Claude Code sessions simultaneously in isolated working directories. It argues that this avoids shared-checkout conflicts and reduces context switching while preserving shared repository history and objects. ### Source excerpt Stop running one Claude Code session at a time. ## How Malicious Instructions in Retrieved Content Can Manipulate LLM-Powered Agents DevFeed: [How Malicious Instructions in Retrieved Content Can Manipulate LLM-Powered Agents]() Original publisher: [Read original article]() Author: Brian Jenney Published: 2026-03-30T15:28:41Z Content type: opinion Language: en Sources: [Brian Jenney]() Topics: [Artificial Intelligence](), [Large Language Model](), [trust](), [API](), [Code]() Tags: [ai](), [api](), [formatting](), [llms](), [payload](), [repo](), [trust]() ### AI overview This opinion article describes an experiment in which an agent searched a knowledge base, called an API, and answered questions. The author inserted unrelated, concealed instructions into an otherwise normal document, and reports that the model followed them. The article argues that malicious instructions embedded in webpages, PDFs, or GitHub repositories can pose a risk when retrieved by LLM-powered systems. ### Source excerpt "Humans wrote bad code way before AI." ## How to Sell Access to a Private GitHub Repo DevFeed: [How to Sell Access to a Private GitHub Repo]() Original publisher: [Read original article]() Author: Ayush Agarwal Published: 2026-03-28T00:00:00Z Content type: tutorial Language: en Sources: [Dodo Payments Blog]() Topics: [GitHub](), [GitHub API](), [API]() Tags: [api](), [developer-tools](), [github](), [guide](), [how-to](), [license-keys](), [payment](), [payments](), [repo]() ### AI overview This guide explains how to sell access to a private GitHub repository using Dodo Payments license keys and the GitHub API. It describes an automated flow in which a successful payment triggers a webhook that invites the customer to the repository. ### Source excerpt Learn how to sell access to a private GitHub repository using Dodo Payments license keys and the GitHub API to automate invitations on successful payment. ## OLX Masterclass Frontend 2026 DevFeed: [OLX Masterclass Frontend 2026]() Original publisher: [Read original article]() Author: Isaac Queiroz Published: 2026-02-25T16:16:00Z Content type: news Language: en Sources: [OLX]() Topics: [Front end](), [Model Context Protocol](), [Development](), [CSS](), [React](), [Figma](), [repo](), [configuration]() Tags: [2026](), [agents](), [ai](), [code](), [coding](), [component](), [configuration](), [css](), [development](), [event](), [figma](), [frontend](), [frontend-development](), [masterclass](), [mcp](), [mcps](), [model-context-protocol](), [olx](), [react](), [repo]() ### AI overview OLX announces its 2026 Frontend Masterclass, featuring three sessions on MCP integrations and Figma-to-React workflows, new CSS capabilities, and managing localized websites for multiple brands from a single repository. ### Source excerpt The always-evolving challenges of OLX create a rich environment for innovation, experimentation, and knowledge sharing. In our 2026 Frontend Masterclass, we have three sessions that will shed light on our current development flow. Join us on March 3rd, 2026, from 6:00 pm to 9:00 pm at our OLX Offices in Poznań! Do you want to join us and know what's trending in the latest frontend technology? Check the event information and join here! Can't join it in person? Sign in to this form to receive the online recording of the session! Our Agenda With a broad schedule, our speakers will deliver a mix of technical presentations and demonstrations on multiple subjects. MCP Servers in Action: From Figma Design to React Component in Minutes by Karol Grabowski Part of what changed in our day-to-day flow is how AI is always available to help us. AI assistants and agents are powerful out-of-the-box tools; we can augment our reach by configuring Model Context Protocols (MCPs) to take our setup a step further. Join Karol to explore how the Model Context Protocol turns AI assistants into powerful development partners with direct access to your tools. This talk covers the MCP ecosystem, real OLX integrations, and includes a live coding session demonstrating the Figma-to-code workflow. CSS is no longer "this simple" -- it got _layers_, quite literally by Tomasz "Comandeer" Jakut At the same time that we advance with AI and multiple experiments to learn from our users and make our flows as pleasant as possible, we are still styling our components with the usual suspects, right? Not always! Join Tomasz Jakut and deep dive into CSS's new capabilities that can redefine how we approach styling websites: from @Layer and nesting to container queries, scoped styles, and user preferences. New native features can refresh well-known techniques and make others obsolete. One-product, three brands -- Our strategy for serving different countries from a single repo by Lilian Galezewska We all know how OL ## Rust Questions Answered in a JetBrains Livestream with Herbert Wolverson DevFeed: [Rust Questions Answered in a JetBrains Livestream with Herbert Wolverson]() Original publisher: [Read original article]() Published: 2026-01-07T00:00:00Z Content type: article Language: en Sources: [William Kennedy]() Topics: [Rust](), [Code]() Tags: [ardan-labs](), [blog](), [developers](), [go](), [go-programming](), [golang](), [jetbrains](), [livestream](), [programming](), [repo](), [rust](), [talk]() ### AI overview This article summarizes 23 questions discussed in a JetBrains livestream with Herbert Wolverson about Rust. Topics include his new book, Rust's memory model, the language's learning curve, and whether beginners should learn C first. ### Source excerpt In a recent livestream with JetBrains, Vitaly Bragilevsky sat down with Herbert Wolverson, our Lead Rust Consultant and Instructor here at Ardan Labs, to talk about everything Rust developers - beginners and pros alike - are curious about. Watch the full livestream replay on the Ardan Labs Channel and check out the GitHub repo with Herbert's prepared answers and code samples. Below is a short summary of the 23 questions that were covered during the livestream. ## n: the command-line tool that I wrote without writing any code DevFeed: [n: the command-line tool that I wrote without writing any code]() Original publisher: [Read original article]() Author: Leonidas Partsas Published: 2026-01-04T10:09:38Z Content type: opinion Language: en Sources: [le0nidas]() Topics: [Command-line interface](), [AI-assisted coding](), [Warp](), [Development](), [Go Language](), [GitHub]() Tags: [ai](), [coding](), [coding-agents](), [command-line](), [engineering-manager](), [github](), [go](), [repo](), [vibe-coding](), [warp]() ### AI overview The author describes creating a command-line tool in an afternoon with Warp and coding-agent assistance, choosing Go for the initial implementation. The tool organizes dated notes about reports, supports tagging, editing, deletion, backups using GitHub, and multiple ways to view notes. The author also explains how beads helped manage tasks while keeping the coding agent's context focused. ### Source excerpt There are three reasons I wanted to write this blog post: A tool in an afternoon The idea of a command line tool that will fit my needs was planted quite a while a go. Couldn't find the time or didn't have the energy to act on it so it remained just that, an idea. ... Continue reading n: the command-line tool that I wrote without writing any code -> [Next page]()