# Parser A parser is software that analyzes text and transforms it into another representation; it commonly serves as a component of a compiler or interpreter. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## 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 ## SCIM directory sync: A deep dive into deprovisioning DevFeed: [SCIM directory sync: A deep dive into deprovisioning]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-08T00:00:00Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Protocol (disambiguation)](), [Security](), [Parser](), [Entra ID]() Tags: [audit](), [deep-dive](), [filter](), [protocol](), [provisioning](), [reconciliation](), [security]() ### AI overview This deep dive explains how SCIM directory deprovisioning reaches applications, why identity providers commonly deactivate users instead of deleting them, and how provider-specific payloads and missed events can create security risks. It covers normalization, reconciliation, session termination, and inspecting provider requests. ### Source excerpt What actually happens when a user is removed: the event your app receives, the directories that never send one, and how to catch what gets dropped. ## Parquet File Write Support, Bloom Filters, Improved Performance: Hardwood 1.1.0.Beta1 Is Out DevFeed: [Parquet File Write Support, Bloom Filters, Improved Performance: Hardwood 1.1.0.Beta1 Is Out]() Original publisher: [Read original article]() Published: 2026-08-31T19:36:00Z Content type: release Language: en Sources: [Gunnar Morling]() Topics: [parquet](), [Library](), [Parser](), [Command-line interface](), [Compression]() Tags: [apache-parquet](), [api](), [cli](), [compression](), [library](), [parquet](), [performance](), [release]() ### AI overview The first beta of Hardwood 1.1 introduces initial Parquet file-writing support through record-based and batch-oriented APIs. The release also adds Bloom filters, dictionary-based row-group pruning, performance improvements, and CLI enhancements. ### Source excerpt Table of Contents Write Support Query Evaluation: Bloom Filters and Dictionary-Based Row-Group Pruning Performance Improvements Hardwood CLI Closing Thoughts "When is write support gonna land in Hardwood?" That's probably the most common question I got over the last few months. As of today, I am very happy to share that the answer has changed from "It's coming soon" to "A first cut is there, give it a try" -- the first Beta of Hardwood 1.1 is out! This is a major milestone for the project, marking the first step in evolving Hardwood from being solely a Parquet parser to a complete library for this widely used columnar file format. But there's more. This release also comes with significant enhancements to the query layer (Bloom filters, dictionary-based row-group pruning), many performance improvements such as a fast path for effectively fixed-length list columns, an even snappier CLI, and much more. Let's dig into some of the new features and changes! ## How Reasoning Traces Work in Language Models DevFeed: [How Reasoning Traces Work in Language Models]() Original publisher: [Read original article]() Author: Armin Ronacher Published: 2026-08-19T00:00:00Z Content type: article Language: en Sources: [Armin Ronacher]() Topics: [Chain-of-thought](), [gpt-oss](), [Parser](), [API](), [Cache]() Tags: [ai](), [api](), [chain-of-thought](), [gpt-oss](), [reasoning](), [token]() ### AI overview The article explains reasoning traces as text emitted by a model into a scratchpad before its final answer. It discusses how GPT-OSS uses channel markers and a parser to route analysis into a separate stream, and argues that reasoning effort is shaped by system prompts and training rather than being solely a sampling-process property. ### Source excerpt A few weeks ago a paper was shared that showed how to extract reasoning traces from closed-weight models. Together with online discussions about tricking models into leaking them, it made me investigate it more out of curiosity. Twitter seems full of half-truths and confusion about how this works, so perhaps this helps some to understand what is happening. Hiding Traces Reasoning traces are usually hidden from us. We have lamented this, but mostly have to accept it. Open-weight models thankfully reveal them, and from their behavior you can see that their traces can be long and confusing. This is probably a good reason to separate them from what is normally shown to users. At minimum, UIs need to detect them. The industry has done a good job at making reasoning traces sound special and exotic, but they really are just text: the model is trained to emit its thinking into a scratchpad as part of its response, before its final answer. GPT-OSS's Harmony response format makes this easy to see: <|channel|>analysis<|message|> I need to work this out ... <|end|><|start|>assistant<|channel|>final<|message|> The answer is ... <|return|> The markers are special tokens, but the reasoning between them uses "the same text" as the final answer (just that GPT chain-of-thought text sounds really funny). When the model samples the analysis channel token, a parser routes the following text into a separate stream exposed through the Responses API. For closed models, presumably a simple model redacts and summarizes it. Reasoning Effort How much budget goes to reasoning? Earlier APIs exposed reasoning token budgets, making it seem like a property of the sampling process. In reality, reasoning effort is baked into the system prompt. GPT-OSS puts this into the system prompt: Reasoning: low That's it. Training produces the resulting behavior, such as emitting the token sequence that switches to the analysis channel. This also explains why changing the effort invalidates the KV cache. I think ## DocLang: a markup language for LLMs DevFeed: [DocLang: a markup language for LLMs]() Original publisher: [Read original article]() Author: Kim Martineau Published: 2026-08-12T12:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [XML](), [Parser](), [Parsing](), [Large Language Model](), [Generative AI](), [HTML]() Tags: [ai](), [algorithms](), [generative-ai](), [llms](), [news](), [parsing](), [xml]() ### AI overview IBM researchers introduce DocLang, a constrained XML sub-language designed to help large language models interpret document structure. The article explains how it represents semantics, layout, bounding boxes, and reading order, and how it may reduce token use, latency, and inference costs in AI pipelines. ### Source excerpt The lead researcher behind IBM's popular document parser, Docling, explains why generative AI needs its own document standard. ## The simplest interpreter: Write yourself a compiler, Part I DevFeed: [The simplest interpreter: Write yourself a compiler, Part I]() Original publisher: [Read original article]() Published: 2026-07-16T22:00:00Z Content type: tutorial Language: en Sources: [Tomasz Nurkiewicz around Java and concurrency]() Topics: [Compiler](), [Parser](), [Parsing](), [Software Engineering](), [Go Language]() Tags: [code](), [compiler](), [engineering](), [go](), [how-to](), [interpreter](), [lexer](), [writing-compiler]() ### AI overview This tutorial begins a series on building a compiler by implementing a simple interpreter in Go. The interpreter lexes and evaluates an input expression containing the addition of two numbers, using a regular expression to validate the structure and extract tokens. ### Source excerpt I've always felt that writing a compiler is the most romantic software engineering task. You're writing a program that reads textual instructions describing precisely what a computer should do. Do not confuse this with prompting an LLM, where you write vague, verbose instructions that only loosely describe what a computer might do. But I digress. ## We compiled our TypeScript parser to WASM DevFeed: [We compiled our TypeScript parser to WASM]() Original publisher: [Read original article]() Author: Ivan Cernja Published: 2026-07-15T00:00:00Z Content type: article Language: en Sources: [Encore Updates]() Topics: [Parser](), [Rust](), [wasm](), [browser](), [TypeScript]() Tags: [browser](), [parsing](), [rust](), [typescript](), [wasm]() ### AI overview Encore describes compiling its Rust parser for TypeScript infrastructure declarations to WebAssembly so it can run in the browser. The browser-based parser supports reproducing parser errors from code snippets and shared links, and powers the tsparser.encore.dev playground. ### Source excerpt How we compiled the Rust parser that reads infrastructure out of Encore code so it runs in the browser, and how we use it to reproduce the parser errors people report. ## @clickhouse/rowbinary: when your library is also a parser compiler DevFeed: [@clickhouse/rowbinary: when your library is also a parser compiler]() Original publisher: [Read original article]() Author: Peter Leonov Published: 2026-07-14T20:59:26Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Node.js](), [Parser](), [Agent Skill](), [Compiler](), [coding]() Tags: [agent-skill](), [bugs](), [clickhouse](), [coding](), [cost](), [generate](), [javascript](), [node-js]() ### AI overview @clickhouse/rowbinary is a Node.js library for reading and writing ClickHouse RowBinary formats. It also provides an Agent Skill that lets a coding agent generate query-specific parsers from the library's reading primitives, producing faster parsers with less runtime dispatch and reducing risks associated with handwritten binary decoders. ### Source excerpt We've released @clickhouse/rowbinary a Node.js reader and writer for ClickHouse's RowBinary formats. You can import it and call its generic parser like any other library. But it also ships as an Agent Skill: point a coding agent at the bundled `SKILL.md` ## JulyReply - Re: Stuck in draft DevFeed: [JulyReply - Re: Stuck in draft]() Original publisher: [Read original article]() Author: Harsh Shandilya Published: 2026-07-09T18:52:00Z Content type: opinion Language: en Sources: [Posts on Harsh Shandilya]() Topics: [Learning](), [Parser](), [REST API](), [Containers](), [Git](), [Cloudflare](), [Compose](), [LLMs](), [Command-line interface]() Tags: [blog](), [blog-posts](), [blogging](), [cli](), [cloudflare](), [compose](), [containers](), [git](), [julyreply](), [llms](), [rest-api](), [technical-writing]() ### AI overview The author reflects on managing unfinished blog drafts, explaining that feedback, public interest, curiosity, and motivation sometimes lead to completion while many drafts are abandoned. They invite readers to vote on several proposed technical topics, including Retrofit, an HTML parser, Git, Docker containers in NixOS, Cloudflare, Compose UI, and LLM-assisted development. ### Source excerpt On drafts and being okay with them ## Crystal 1.20.3 is released! DevFeed: [Crystal 1.20.3 is released!]() Original publisher: [Read original article]() Author: Julien Portalier Published: 2026-07-02T00:00:00Z Content type: release Language: en Sources: [Crystal]() Topics: [Crystal](), [releases](), [Vulnerabilities](), [YAML](), [Parser]() Tags: [parsing](), [release](), [releases](), [security](), [security-vulnerabilities](), [yaml]() ### AI overview Crystal 1.20.3 is a release that fixes two security vulnerabilities in its YAML parsers. The fixes address excessive nesting that could cause stack overflows and excessive YAML alias expansion associated with billion laughs attacks. The article recommends upgrading when processing YAML files from unknown origins. ### Source excerpt We are announcing a new Crystal release 1.20.3 with fixes for two security vulnerabilities in the YAML parsers. We recommend upgrading as soon as possible if your application processes YAML files from unknown origins. ## Designing GPU-Accelerated Query Engines with NVIDIA GQE DevFeed: [Designing GPU-Accelerated Query Engines with NVIDIA GQE]() Original publisher: [Read original article]() Author: Michelle Horton Published: 2026-06-30T17:36:43Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [GPU](), [Databases](), [NCCL](), [CUDA](), [NVLink](), [Compression](), [IO](), [SQL](), [Parser](), [Streaming](), [Hardware](), [Open Source]() Tags: [accelerate](), [compression](), [cpu](), [cuda](), [cuda-x](), [data](), [data-analytics-processing](), [data-center-cloud](), [data-science](), [databases](), [featured](), [gpu](), [hardware](), [memory](), [nvidia](), [nvlink](), [performance](), [sql]() ### AI overview This article presents GQE, a reference architecture for executing SQL queries on GPUs. It explains how NVIDIA hardware and CUDA-X libraries address memory, I/O, data movement, decompression, and end-to-end performance challenges for large datasets. ### Source excerpt GPU-accelerated query engines are often constrained by memory and I/O bandwidth. NVIDIA hardware advances--including high bandwidth memory (HBM), NVIDIA... ## Build the Lab Once, Test It Forever: A CML2 Spine-Leaf Wired for pyATS DevFeed: [Build the Lab Once, Test It Forever: A CML2 Spine-Leaf Wired for pyATS]() Original publisher: [Read original article]() Author: Brent Leekley Published: 2026-06-14T00:00:00Z Content type: tutorial Language: en Sources: [brent.leekley.me blog]() Topics: [Network](), [Testing](), [Cisco](), [Code](), [API](), [Parser]() Tags: [api](), [cisco](), [cisco-modeling-labs](), [cml](), [cml2](), [code](), [genie](), [iol-xe](), [network-automation](), [network-testing](), [ospf](), [parsing](), [pyats](), [spine-leaf](), [testbed](), [virl2-client]() ### AI overview This tutorial describes a four-node spine-leaf lab in Cisco Modeling Labs 2 (CML2) that generates a Cisco pyATS testbed from the CML API. The approach treats the lab definition as the source of truth so regenerated inventories remain aligned with topology changes, and uses an OSPF underlay with a management network. ### Source excerpt Stop hand-maintaining your pyATS testbed. Build a four-node spine-leaf in CML2 as code, then generate the testbed straight from the CML API so it never drifts from the lab, with live Genie-parsed proof over a System Bridge management network. ## Assumptions weaken properties DevFeed: [Assumptions weaken properties]() Original publisher: [Read original article]() Author: Hillel Wayne Published: 2026-05-20T15:13:16Z Content type: tutorial Language: en Sources: [Newsletter feed for Hillel Wayne's Newsletter]() Topics: [Formal methods](), [Math and Logic](), [Parser](), [JSON]() Tags: [bug](), [formal-methods](), [json](), [math](), [test]() ### AI overview The article explains, using logical implication, why adding assumptions weakens a formal property. It illustrates the idea with tests, formal specifications, fairness constraints, and a JSON parser verified only for ASCII input. ### Source excerpt In some tests are stronger than others, I defined STRONG => WEAK to mean "any system passing test STRONG is also guaranteed to pass WEAK". This uses the logical implication operator, defined as P => Q = !P || (P && Q). Implication may be the most overworked operator in logic. Among other things, it's also used in formal specification, where Spec => Prop means "any system satisfying Spec has property Prop" and ASSUME => Spec means "The assumption ASSUME must hold in order for the system to satisfy Spec." Now let's mush these all together and do some math. To start, "the system has property Prop" is the same as "the system passes the test that checks Prop", so test strength is also property strength. Now let "ASSUME => Prop" mean "the system passes Prop assuming ASSUME is true." In classic logic, if P is true, then obviously !Q || P is true. Further, that is equivalent (just draw the truth table!) to !Q || (P && Q). So for any propositions P and Q, P => (Q => P). In other words, Prop => (ASSUME => Prop). In other other words, "the system passes Prop" is a stronger property than "the system passes Prop whenever our assumptions hold." In other other other words, any assumption added makes a property weaker. This makes intuitive sense to me. A JSON parser that's only been verified with ASCII strings has the property "input only uses ASCII && is valid json => correctly parsed". A better JSON parser that works for all Unicode will have the property "is valid json => correctly parsed", which has fewer assumptions, meaning it's guaranteed to work in a strict superset of cases. It also matches the intuition that "more assumptions means more likely to go wrong". We have a bug whenever Prop is false. The only way for Spec => Prop to be true and Prop be false is if Spec is false, eg our system doesn't satisfy the specification we intended to implement. On the other hand, Spec => (ASSUME => Prop) && !Prop is true whenever Spec and/or ASSUME is false, meaning a correctly-implement ## Designing a custom AI agent for repetitive QA workflows DevFeed: [Designing a custom AI agent for repetitive QA workflows]() Original publisher: [Read original article]() Author: Rimple Sharma Published: 2026-05-18T06:01:01Z Content type: tutorial Language: en Sources: [Amex GBT Technology]() Topics: [AI Agent](), [Markdown](), [Parser](), [context]() Tags: [ai](), [ai-agent](), [ai-skills](), [context](), [markdown](), [parsing](), [software-testing](), [test-automation]() ### AI overview This tutorial explains how to design a custom AI agent for repetitive QA workflows. It focuses on encoding structured instructions in Markdown, including headers, rules, variables, examples, output schemas, and executable commands, and introduces the agent's processing loop. ### Source excerpt Part 2: Markdown as agent logic and the ReAct loop in action. In Part 1, I walked through the problem, repetitive QA work that resists pure scripting and the three pillars of a useful agent: input validation, context awareness, and a decision engine. I also showed why structured instructions beat plain text. This part is about how that structure gets encoded, how the loop runs, and what the impact looked like in practice. Why agents use Markdown When writing instructions for an agent, Markdown isn't just a formatting choice, it acts as a bridge between human-readable text and machine-processable logic. It's become a common format for agent communication because both humans and machines can work with it efficiently. But what most people miss... When you write agent instructions in Markdown, you're creating a weighted logic map, as well as just writing text. A few patterns that matter: 1. Semantic headers (#, ##) act as anchors for the agent's attention. Wrapping your mandatory rules under a clear header makes it far less likely the agent will overlook them mid-task. 2. Horizontal rules ( -- -) separate identity from instructions. Without this boundary, rules from one section bleed into another and the agent loses track of what governs what. 3. Bold keywords (**NEVER**, **ALWAYS**, **MANDATORY**) tend to be treated as hard constraints. Bold is a hard constraint. Italics are treated as a soft suggestion. 4. Blockquotes (>) are useful for examples. Wrapping an example in a blockquote signals to the agent that this is a reference, not a direct command. 5. {{curly_braces}} mark dynamic variables. They tell the agent that this part of the input will be filled in at runtime -- things like {{TICKET_ID}} or {{DATASET_NAME}} -- so it never substitutes a generic placeholder into a production file. 6. Fenced code blocks define output schemas. If you want the agent to always respond in a specific format, put that format in a code block. It treats it as a contract. 7. Inline code signa ## Databricks brings GPT-5.5 to enterprise agent workflows DevFeed: [Databricks brings GPT-5.5 to enterprise agent workflows]() Original publisher: [Read original article]() Published: 2026-05-15T00:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [databricks](), [Artificial Intelligence](), [Benchmark](), [Agent Harness](), [Parser](), [long-context](), [Orchestration](), [API]() Tags: [agents](), [ai](), [api](), [benchmark](), [databricks](), [enterprise](), [gpt](), [long-context](), [model](), [orchestration](), [production](), [retrieval](), [search](), [workflows]() ### AI overview Databricks is making GPT-5.5 available for enterprise agent workflows through AI Unity Gateway, following its state-of-the-art result on the OfficeQA Pro benchmark. The article reports 50% accuracy and a 46% error reduction versus GPT-5.4, with gains in parsing scanned and legacy documents, retrieval, orchestration, and multi-step workflow execution. ### Source excerpt Databricks uses GPT-5.5 for enterprise agent workflows after the model set a new state of the art on the OfficeQA Pro benchmark. ## VARIANT Support, Interactive Parquet File TUI: Hardwood 1.0.0.Beta2 Is Out DevFeed: [VARIANT Support, Interactive Parquet File TUI: Hardwood 1.0.0.Beta2 Is Out]() Original publisher: [Read original article]() Published: 2026-04-29T17:45:00Z Content type: release Language: en Sources: [Gunnar Morling]() Topics: [parquet](), [Text-based user interface](), [Command-line interface](), [Parser](), [API](), [Amazon S3]() Tags: [apache-parquet](), [cli](), [compression](), [parquet](), [performance](), [release](), [s3](), [screen](), [storage]() ### AI overview Hardwood 1.0.0.Beta2 adds support for VARIANT columns, an interactive text-based UI for examining Parquet files, improved performance, and more efficient object-storage reads. ### Source excerpt Table of Contents VARIANT Support Hardwood CLI TUI Unified Reader API Performance Improvements Wrapping Up I am happy to announce the release of Hardwood 1.0.0.Beta2! The latest version of this new parser for Apache Parquet comes with support for VARIANT columns, an interactive text-based UI (TUI) for examining and analysing the structure of Parquet files, significantly improved performance, more efficient reading of files from object storage, and much more. ## ClickHouse at FOSDEM 2026 DevFeed: [ClickHouse at FOSDEM 2026]() Original publisher: [Read original article]() Author: Tyler Hannan Published: 2026-04-08T18:00:47Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [data-processing](), [real-time](), [debugging](), [LLVM](), [log management](), [Shell](), [SQL](), [dashboards](), [observability](), [Parser](), [Tooling]() Tags: [bugs](), [clickhouse](), [community](), [conference](), [data](), [debugging](), [llvm](), [logging](), [performance](), [real-time](), [sql](), [visualization]() ### AI overview ClickHouse at FOSDEM 2026 recaps the ClickHouse community dinner and technical talks on real-time visualization, production hotpatching with LLVM XRay, and inverted database indexes. ### Source excerpt FOSDEM 2026 took place on 31 January and 1 February in Brussels, and it was a great weekend for the ClickHouse community, both inside the conference rooms and out. ## HTTP/1.1 Must Die: Conquering the 0.CL Challenge DevFeed: [HTTP/1.1 Must Die: Conquering the 0.CL Challenge]() Original publisher: [Read original article]() Author: Fran Hutchings Published: 2026-03-13T09:21:19Z Content type: article Language: en Sources: [PortSwigger Blog]() Topics: [Security](), [Parser](), [payload](), [Extension](), [Script]() Tags: [article](), [extension](), [http](), [payload](), [security](), [techniques](), [tools]() ### AI overview A technical guide to the 0.CL variant of HTTP request smuggling, explaining the front-end/back-end parsing discrepancy, four proof-of-concept approaches, and detection with PortSwigger's HTTP Request Smuggler extension in a controlled lab. ### Source excerpt Note: This is a guest post by pentester Julen Garrido Estévez (@b3xal). 1. Acknowledgements 2. Intro 3. Required tools 4. Strategy to solve/exploit the lab 5. Detecting 0.CL 5.1. Practical confirmatio ## Vite 8.0 is out! DevFeed: [Vite 8.0 is out!]() Original publisher: [Read original article]() Author: The Vite Team Published: 2026-03-12T00:00:00Z Content type: release Language: en Sources: [Vite]() Topics: [Vite](), [Rust](), [Optimization](), [Developer experience](), [Orchestration](), [Parser](), [npm](), [GitHub]() Tags: [changelog](), [community](), [developer](), [developer-experience](), [docs](), [guide](), [links](), [maintainers](), [optimization](), [orchestration](), [rust](), [speed]() ### AI overview Vite 8 is a stable release that replaces Vite's separate esbuild and Rollup bundlers with Rolldown, a unified Rust-based bundler. The article highlights faster builds, plugin compatibility, a new searchable plugin registry, migration resources, and ways to contribute to the Vite ecosystem. ### Source excerpt Vite 8.0 is out! March 12, 2026 We're thrilled to announce the stable release of Vite 8! When Vite first launched, we made a pragmatic bet on two bundlers: esbuild for speed during development, and Rollup for optimized production builds. That bet served us well for years. We're very grateful to the Rollup and esbuild maintainers. Vite wouldn't have succeeded without them. Today, it resolves into one: Vite 8 ships with Rolldown as its single, unified, Rust-based bundler, delivering up to 10-30x faster builds while maintaining full plugin compatibility. This is the most significant architectural change since Vite 2. Vite is now being downloaded 65 million times a week, and the ecosystem continues to grow with every release. To help developers navigate the ever-expanding plugin landscape, we also launched registry.vite.dev, a searchable directory of plugins for Vite, Rolldown, and Rollup that collects plugin data from npm daily. Quick links: Docs Translations: 简体中文, 日本語, Español, Português, 한국어, Deutsch, فارسی Migration Guide GitHub Changelog Play online with Vite 8 using vite.new or scaffold a Vite app locally with your preferred framework running pnpm create vite. Check out the Getting Started Guide for more information. We invite you to help us improve Vite (joining the more than 1.2K contributors to Vite Core), our dependencies, or plugins and projects in the ecosystem. Learn more at our Contributing Guide. A good way to get started is by triaging issues, reviewing PRs, sending tests PRs based on open issues, and supporting others in Discussions or Vite Land's help forum. If you have questions, join our Discord community and talk to us in the #contributing channel. Stay updated and connect with others building on top of Vite by following us on Bluesky, X, or Mastodon. The Rolldown-Powered Vite The problem Since its earliest versions, Vite relied on two separate bundlers to serve different needs. esbuild handled fast compilation during development (dependency ## What Happens to an SQL Query? DevFeed: [What Happens to an SQL Query?]() Original publisher: [Read original article]() Author: Saurabh Dashora Published: 2026-03-04T03:14:28Z Content type: tutorial Language: en Sources: [System Design Codex]() Topics: [SQL](), [Databases](), [Parser](), [syntax]() Tags: [database](), [diagram](), [errors](), [execution](), [locks](), [rollback](), [sql](), [syntax]() ### AI overview This tutorial explains how an SQL query moves through a database. It covers transport and access checks, parsing and optimization into an execution plan, execution through the storage engine, and supporting components such as transactions, locks, buffering, and recovery. ### Source excerpt The Journey Through the DB ## Python 3.12.13, 3.11.15 and 3.10.20 are now available! DevFeed: [Python 3.12.13, 3.11.15 and 3.10.20 are now available!]() Original publisher: [Read original article]() Author: Thomas Wouters Published: 2026-03-03T00:00:00Z Content type: release Language: en Sources: [Python Insider]() Topics: [Python](), [releases](), [Security](), [Python 3.10](), [XML](), [Parser](), [HTML](), [SSL]() Tags: [html](), [http](), [memory](), [memory-safety](), [python](), [python-3-10](), [releases](), [security](), [ssl]() ### AI overview Python 3.12.13, 3.11.15, and 3.10.20 are security-only source releases addressing vulnerabilities and hardening email, HTTP, XML, HTML, denial-of-service, and SSL handling. ### Source excerpt [Python Releases For Your Security!](https://discuss.python.org/t/python-3-12-13-3-11-15-and-3-10-20-are-now-available/106363) New security releases for 3.10, 3.11 and 3.12 are now available. ## Hardwood: A New Parser for Apache Parquet DevFeed: [Hardwood: A New Parser for Apache Parquet]() Original publisher: [Read original article]() Published: 2026-02-26T12:30:00Z Content type: release Language: en Sources: [Gunnar Morling]() Topics: [parquet](), [Parser](), [Java](), [Open Source](), [Compression](), [DuckDB]() Tags: [apache-parquet](), [compression](), [dependencies](), [java](), [maven-central](), [open-source](), [parquet](), [parsing](), [performance](), [release]() ### AI overview The article announces Hardwood, an open-source Java 21+ parser for Apache Parquet. It is designed to minimize dependencies and improve parsing performance through a multithreaded decoding pipeline, with optional libraries for Parquet compression algorithms. The article also introduces Maven setup and row-oriented and columnar APIs. ### Source excerpt Table of Contents Why Hardwood? Hello, Hardwood! Parsing Performance Built With AI, Not By AI What's Next? Today, it's my great pleasure to announce the first public release of Hardwood, a new parser for the Apache Parquet file format, optimized for minimal dependencies and great performance. Hardwood is open-source (Apache License 2.0) and supports Java 21 or newer. You can grab it from Maven Central and start parsing your Parquet files with ease and efficiency. ## Top 10 web hacking techniques of 2025 DevFeed: [Top 10 web hacking techniques of 2025]() Original publisher: [Read original article]() Author: James Kettle Published: 2026-02-05T15:28:08Z Content type: article Language: en Sources: [PortSwigger Research]() Topics: [Security](), [Web](), [vulnerability](), [Parser](), [Protocol (disambiguation)](), [Chrome](), [Caching](), [Tooling]() Tags: [cache](), [chrome](), [community](), [http](), [research](), [security](), [techniques](), [vulnerability](), [web]() ### AI overview This annual, community-powered selection highlights ten innovative web-hacking techniques from 2025. The supplied excerpts discuss parser differentials, HTTP/2 CONNECT research and tooling, Chrome connection-pool prioritisation used to leak cross-origin redirect hostnames, and internal web cache poisoning. ### Source excerpt Welcome to the Top 10 Web Hacking Techniques of 2025, the 19th edition of our annual community-powered effort to identify the most innovative must-read web security research published in the last year ## What's new in Svelte: February 2026 DevFeed: [What's new in Svelte: February 2026]() Original publisher: [Read original article]() Author: Dani Sandoval Published: 2026-02-01T00:00:00Z Content type: article Language: en Sources: [Svelte blog]() Topics: [Svelte](), [releases](), [changelog](), [Vulnerabilities](), [CSS](), [HTML](), [Parser](), [observability](), [Open Source](), [Tauri](), [Transcodings]() Tags: [changelog](), [conversion](), [css](), [developers](), [docs](), [ffmpeg](), [html](), [observability](), [open-source](), [releases](), [svelte](), [tauri](), [vulnerabilities]() ### AI overview Svelte's February 2026 update introduces improvements across Svelte and SvelteKit, including richer select-element customization, an exported CSS parser, Shadow DOM configuration, remote form changes, configurable Node server timeouts, and improved Vercel observability. The article also highlights recent ecosystem vulnerability patches, changelogs, and community projects. ### Source excerpt This month brings a few new features to Svelte and SvelteKit and quite a few new libraries from around the community. Also, in case you missed it last month, the Svelte maintainers released patches for 5 vulnerabilities across the Svelte ecosystem. So be sure you're up to date by reading the blog post, CVEs affecting the Svelte ecosystem. Now, without further ado, let's dive in... What's new in Svelte & SvelteKit To support newer browsers that allow it, you can now customize