Category: Development

DVMCP: A Deliberately Vulnerable Model Context Protocol Implementation

2025-04-16
DVMCP: A Deliberately Vulnerable Model Context Protocol Implementation

DVMCP is a deliberately vulnerable implementation of the Model Context Protocol (MCP) designed for educational purposes. It features 10 progressively challenging scenarios demonstrating various vulnerabilities and attack vectors, including prompt injection, tool poisoning, excessive permissions, rug pull attacks, tool shadowing, indirect prompt injection, token theft, malicious code execution, remote access control, and multi-vector attacks. This project aims to educate security researchers, developers, and AI safety professionals about potential security risks in MCP implementations and mitigation strategies.

Development

Krep: Blazing Fast String Search Utility

2025-04-16
Krep: Blazing Fast String Search Utility

Krep is a performance-optimized string search utility designed for maximum throughput and efficiency when processing large files and directories. It utilizes multiple search algorithms and SIMD acceleration (when available), prioritizing speed and simplicity. Krep automatically selects the optimal algorithm, supports multi-threaded searching, memory-mapped I/O, regular expressions, and recursive directory searches, while skipping binary files and common non-code directories. Benchmarks show Krep is approximately 41.5x faster than grep and slightly faster than ripgrep.

Development string search

How Programmers Hunt Elephants: A Hilarious Look at Tech Personalities

2025-04-16

This humorous piece uses the analogy of elephant hunting to cleverly characterize the personalities and work styles of different tech professionals. Mathematicians pursue rigorous proofs, computer scientists follow algorithms, engineers focus on efficiency, economists believe in the power of money, statisticians rely on data, and so on. The article uses witty humor to showcase the diverse thinking patterns and characteristics of various professions, prompting reader resonance and offering a lighthearted interpretation of tech culture.

Development

Blazing Fast Zig Parser: 2.75x Speedup

2025-04-16
Blazing Fast Zig Parser: 2.75x Speedup

A developer has created a high-throughput tokenizer and parser for the Zig programming language that's 2.75x faster and uses 2.47x less memory than the mainline implementation. The project leverages SIMD and SWAR techniques, along with clever bit manipulation and perfect hash functions, to achieve significant performance gains. Further optimizations are planned, with the ultimate goal of integrating this parser into the Zig compiler itself.

Development

High-Performance IoT Development Platform in Rust

2025-04-16
High-Performance IoT Development Platform in Rust

A high-performance IoT development platform built with Rust is now available! It supports multiple protocols including MQTT, WebSocket, TCP, and CoAP, and features real-time data processing capabilities. Rust's memory safety and concurrency features ensure efficiency. The modular design allows for easy extension and maintenance, encompassing modules for data processing, protocol interfaces, message notifications, and external APIs. This platform is suitable for various IoT applications and is open-sourced under the Apache 2.0 license.

Redis Vector Sets: Replicating Hacker News Account Style Detection

2025-04-16

Inspired by a three-year-old Hacker News post about detecting similar accounts using cosine similarity, Antirez, using the new vector set functionality in Redis 8 RC1, replicated the experiment. He downloaded 10GB of Hacker News comment data, cleaned and preprocessed it to generate a JSONL file containing users and their word frequency vectors. Then, using the Burrows-Delta method, he normalized the word frequency vectors and inserted them into Redis vector sets. Finally, using the VSIM command, similar users with similar writing styles can be quickly found. The project code has been open-sourced, and an online demo website is available.

Development Style Detection

Bauplan: A Python-First Serverless Lakehouse for Streamlined Data Pipelines

2025-04-16

Bauplan is a Pythonic serverless data platform offering functions-as-a-service for large-scale data pipelines and Git-based data management over S3 data lakes. It simplifies running massive ML workflows, AI applications, and data transformations in the cloud without infrastructure headaches. Key features include a Python-first design, direct S3 table manipulation, Git integration for data, serverless pipelines, comprehensive SQL support, CI/CD for data, and robust versioning. Ideal for AI applications, ML workloads, and data pipelines.

Development lakehouse

A Rust Program That Runs for 10↑↑15 Steps

2025-04-16
A Rust Program That Runs for 10↑↑15 Steps

This article explores the creation of an exceptionally long-running Rust program. Starting with the fundamental operation of addition (increment), the author meticulously builds up to multiplication (multiply), exponentiation (exponentiate), and finally tetration, culminating in a program that calculates the gargantuan number 10↑↑15. The emphasis is on in-place operations, avoiding memory copies and temporary variables to ensure the program executes for the designed number of steps. The article clearly explains the implementation details with concise code examples, making it valuable for learning algorithm design and Rust programming.

Deployment-Ready Sandboxed Browser Environments

2025-04-16
Deployment-Ready Sandboxed Browser Environments

Anthropic introduces innovative sandboxed Chrome browser environments, built on containers/Docker and Unikraft, providing ready-to-use browsers for agentic workflows needing internet access. These environments support Chrome DevTools frameworks (like Playwright and Puppeteer) and offer GUI access for visual monitoring and remote control. The Unikernel version boasts automated standby, state snapshotting, and extremely fast cold starts, ideal for applications requiring low-latency event handling. Additionally, Anthropic is hiring backend engineers to work on the future of AI infrastructure.

Development sandboxed browser

C64 Coding Tricks: Drawing Two Lines in 34 Bytes

2025-04-16
C64 Coding Tricks: Drawing Two Lines in 34 Bytes

This article recaps the code optimization tricks used in a Commodore 64 coding competition. The challenge: create a C64 executable (PRG) that draws two lines using the fewest bytes possible. The article details the clever techniques employed by participants, including leveraging ROM subroutines, incremental screen pointer manipulation, self-modifying code, exploiting the power-on state, unconventional control flow, and bitpacked line drawing. The winning entry achieved an astonishing 34 bytes, showcasing impressive code optimization skills.

Development

JetBrains IDEs Go AI: Coding Agent Junie and Enhanced AI Assistant

2025-04-16
JetBrains IDEs Go AI: Coding Agent Junie and Enhanced AI Assistant

JetBrains has integrated its AI tools, including an improved AI Assistant and the new coding agent Junie, into its IDEs, offering a free tier. Junie, leveraging Anthropic's Claude and OpenAI's LLMs, handles complex coding tasks, improves code quality, and saves time. This update also features enhancements to the AI Assistant, such as expanded model options, improved code completion, and stronger context awareness. All JetBrains AI tools are available under a single subscription with a free tier, making AI power accessible to a wider range of developers.

Development Coding Agent

Fibonacci Hashing: A Surprisingly Fast Hash Table Optimization

2025-04-16
Fibonacci Hashing: A Surprisingly Fast Hash Table Optimization

This article explores Fibonacci Hashing, a technique for mapping hash values to slots in a hash table that leverages the properties of the golden ratio. Benchmarks show it significantly outperforms traditional integer modulo operations, offering faster lookups and better robustness against problematic input patterns. The author explains the underlying mathematics and demonstrates its advantages, highlighting how it addresses common performance bottlenecks in hash table implementations. While not a perfect hash function, Fibonacci Hashing excels at mapping large numbers to smaller ranges, making it a valuable optimization for creating efficient hash tables.

Development

Stochastic Calculus: A Deep Dive from Physics to Finance

2025-04-16

This post delves into stochastic calculus, extending regular calculus to stochastic processes. Starting with the measure-theoretic definition of probability, it covers stochastic processes, the Wiener process, Itô calculus, and applications in physics and finance. The author blends intuition with rigor, using examples like the Langevin equation to illustrate key concepts. It's a comprehensive yet accessible guide to a complex topic.

Fusing Unreliable Sensor Readings: Beyond Linear Mixing

2025-04-16
Fusing Unreliable Sensor Readings: Beyond Linear Mixing

This article explores fusing measurements from two unreliable sensors for improved accuracy. Sensor A's readings contain noise, while Sensor B has a probability of outputting either the correct value or noise. The author first tries a linear weighted average, finding the optimal weight isn't 50/50, but around 0.58. Then, a threshold based on the difference between sensor readings is used; if the difference is below the threshold, Sensor B's reading is used, otherwise Sensor A's. This significantly improves accuracy. Finally, by adding a middle zone where a linear mix of both readings is used, further optimization is achieved, lowering the mean absolute error to 0.1163.

Development sensor fusion

Fun with -fsanitize=undefined and Picolibc: An Embedded C Adventure

2025-04-16

This blog post details the integration of GCC and Clang's -fsanitize=undefined flag into the Picolibc library to detect undefined or implementation-defined C language behaviors. This process unearthed and fixed eight real bugs, including missing NULL checks in setlocale/newlocale and type errors in qsort. It also revealed hidden undefined behaviors in the code, such as pointer arithmetic out-of-bounds and signed integer overflows. While much of the work involved replacing undefined behavior with defined behavior, the author also wrote lsl and asr macros to handle left and arithmetic right shifts, expressing dissatisfaction with the C language specification's shortcomings regarding shift operators. The author concludes by encouraging developers to try the undefined behavior sanitizer to improve code quality.

Development

React's 5th Anniversary: From Internal Project to Open Source Superstar

2025-04-16
React's 5th Anniversary: From Internal Project to Open Source Superstar

On React's fifth anniversary, this post looks back at its journey. From Facebook's internal projects BoltJS and FaxJS used for building complex web applications, to eventually becoming a functional UI library, React underwent multiple iterations and API refactoring. The post also covers the introduction of JSX, and Instagram's role in pushing React to open source. React's success wasn't overnight; it's a result of continuous team improvements and active community involvement.

Development

Boost Your Rails App's SEO with Structured Data

2025-04-16
Boost Your Rails App's SEO with Structured Data

This article details how to add structured data (schema markup) to a Rails application for enhanced SEO. It begins by explaining structured data's purpose and benefits, then dives into two implementation methods: without a gem and using the `schema_dot_org` gem. The first involves manually creating schema objects, while the latter leverages the gem's predefined entities and validation, simplifying the process. The article covers using the `@graph` property to group entities and adding schemas for various pages (homepage, articles, books, FAQs), including `WebSite`, `Organization`, `Article`, and `Book`. It concludes by stressing the importance of validation to ensure schema correctness.

Development Structured Data

From Tedious Text to AI-Powered Audio Trading Journals

2025-04-16
From Tedious Text to AI-Powered Audio Trading Journals

A trader shares their journey from cumbersome text-based trading journals to a highly effective audio journaling system enhanced by AI. Using Audacity for recording, they capture real-time emotions, strategies, and market dynamics. AI tools like NotebookLM then summarize and analyze the audio logs, identifying patterns, preventing repeated mistakes, and refining trading strategies. This approach boosts journaling consistency, provides deeper self-awareness of trading behavior, and ultimately improves trading performance.

Torque: A Lightweight Meta-Assembler for Any Architecture

2025-04-16

Torque is a lightweight meta-assembler providing the tools to write programs for any processor architecture. Addressing shortcomings of existing embedded processor assemblers—poor documentation, clunky languages, bloat, single OS support—Torque uses integers, bit sequences, labels, and powerful macros to emulate any assembly language. Processor instruction encoding is defined via macros, allowing programming for any processor using only Torque and the datasheet. Source code is available at code.benbridle.com/torque-asm.

Development meta-assembler

Deconstructing a Flowing WebGL Gradient

2025-04-15
Deconstructing a Flowing WebGL Gradient

This article details the creation of a flowing gradient effect using WebGL shaders. Starting with a simple linear gradient, the author progressively introduces sine waves, time variables for animation, and finally, leverages Simplex noise functions and texture mapping to achieve a stunning visual effect with dynamic blur and layered gradients. The article is richly illustrated and clearly explains core concepts like shader writing, interpolation, and color mapping, making it ideal for developers interested in WebGL and shaders.

Development Gradient Effect

Somehash: A Blurhash-Inspired Image Placeholder

2025-04-15
Somehash: A Blurhash-Inspired Image Placeholder

To enhance user experience, this article introduces Somehash, an image placeholder solution similar to Blurhash but with a creative twist. Somehash extracts dominant colors from images using a Python script (leveraging KMeans clustering) and encodes them into a Base64 string. A React component decodes this string and renders an animated placeholder using lines until the high-resolution image loads. The author also discusses areas for improvement, such as optimizing encoding/decoding and creating a smoother transition to the full image.

Unsure Calculator: Taming Uncertainty in Everyday Calculations

2025-04-15
Unsure Calculator: Taming Uncertainty in Everyday Calculations

Filip Hracek introduces an uncertainty calculator that simplifies statistical reasoning by allowing input of numerical ranges (e.g., 4~6, representing a 95% confidence interval). Using a Monte Carlo method, the calculator handles basic arithmetic, powers, roots, and trigonometric functions, providing probability distributions and percentiles for a more comprehensive analysis. Illustrated with examples like a family's financial decision-making process and the Drake equation, the article showcases its practicality while acknowledging limitations such as slow computation and a rudimentary user interface. The calculator empowers users to make informed decisions despite inherent uncertainties.

GitHub CEO: Everyone Should Learn to Code, Thanks to AI

2025-04-15
GitHub CEO: Everyone Should Learn to Code, Thanks to AI

GitHub CEO Thomas Dohmke advocates for everyone to learn coding, starting as early as possible. He argues that the rise of AI has significantly lowered the barrier to entry in software development, enabling even small teams to tackle large-scale projects. AI tools like Copilot and ChatGPT simplify the process, making coding more accessible. While acknowledging job displacement anxieties, Dohmke believes developers will adapt and find new innovative fields. He advises continuous learning and a curious mindset to thrive in this evolving landscape.

Development

arXivLabs: Experimenting with Community Collaboration

2025-04-15
arXivLabs: Experimenting with Community Collaboration

arXivLabs is a framework enabling collaborators to develop and share new arXiv features directly on the website. Individuals and organizations involved uphold arXiv's values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only partners with those who share them. Got an idea for a project that benefits the arXiv community? Learn more about arXivLabs.

Development

Target Triples: A Guide to Compiler Chaos

2025-04-15
Target Triples: A Guide to Compiler Chaos

This article delves into the complexities of compiler target triples, such as x86_64-unknown-linux-gnu. It explains the components of a triple (architecture, vendor, OS, ABI) and reveals the differences between GCC and LLVM's handling of them. The article details the naming conventions for various architectures (x86, ARM, etc.), vendor and OS representation, and stresses the importance of consistency to avoid confusion. Ultimately, the author advises against inventing new target triple conventions when building new toolchains to facilitate cross-toolchain collaboration.

Development target triples

Modern CMake: A Guide to Ditching Terrible Build Systems

2025-04-15

Tired of wrestling with frustrating build systems? This guide introduces Modern CMake (3.15+), a clean, powerful, and elegant solution that lets you focus on coding instead of battling unmaintainable build files. The author argues for choosing a robust build system, especially for cross-platform development, multiple compilers, CI/CD integration, and utilizing tools like Clang-Tidy. CMake stands out due to its wide IDE support and extensive community resources. The article recommends using a suitable minimum CMake version (3.15 or higher) and setting a maximum version for long-term compatibility, saving developers countless hours of frustration.

Development

Never Suspend a Thread in Your Own Process!

2025-04-15
Never Suspend a Thread in Your Own Process!

A customer encountered a long-standing, low-frequency hang: their UI thread called into the kernel and simply hung. The kernel dump couldn't show a user-mode stack trace because the stack had been paged out. Investigation revealed a watchdog thread periodically suspending the UI thread to capture stack traces, but this time it hung for over five hours. The root cause: a deadlock. The watchdog thread, attempting to get a stack trace, needed a function table lock, but the UI thread was suspended, holding the lock. The article emphasizes never suspending a thread within its own process, as it risks deadlocks due to resource contention. To suspend a thread and capture its stack, do so from another process to avoid deadlocks.

Full-Featured Logic Programming in Clojure: Clolog

2025-04-15
Full-Featured Logic Programming in Clojure: Clolog

Clolog embeds full-featured logic programming (Prolog) in/callable from Clojure, supporting calls to and from Clojure. Inspired by LogLisp, Lisp Machine Prolog, and Allegro Prolog, it adds several enhancements. Emphasis is on expressive power and execution transparency, supporting rapid prototyping, proof-of-concept development, and outer-loop reasoning (it's not blazing fast, yet). Clojure-based, Lispy syntax provides built-in predicates and operators for negation, conditionals, variable binding, and access to Clojure values.

Development

eBPF Verifier's Security Dilemma: A Novel Isolated Execution Environment

2025-04-15

eBPF, a foundational technology in the Linux kernel, faces security vulnerabilities and complexity challenges in its verifier. Researchers propose a paradigm shift: defining BPF programs as kernel-mode applications requiring dedicated isolation. A novel execution environment is designed to isolate BPF programs, enhancing eBPF's security and scalability. This research delves into the Linux v6.16 eBPF verifier, revealing security properties, capability dilemmas, and correctness dilemmas within its full-path analysis. A hybrid security framework combining verification and isolation is proposed, pointing towards a more secure future for eBPF.

Development

React Server Components: Untangling Frontend Data Fetching

2025-04-15

This article explores how React Server Components solve the complexities of frontend data fetching. Traditional REST APIs struggle to keep up with evolving UI needs, leading to either data redundancy or insufficient data. The author proposes a BFF (Backend for Frontend) approach, introducing the ViewModel concept to the backend, allowing the server to directly return the specific data each component requires. By decomposing ViewModel functions into smaller units and leveraging JSX, a tight coupling between components and data loading logic is achieved, resulting in an efficient and maintainable frontend architecture. This method is similar in spirit to Async XHP, seamlessly integrating data fetching and UI rendering, but avoids the limitations of traditional XHP in highly interactive applications.

Development Data Fetching
1 2 5 6 7 9 11 12 13 108 109