Large language models are AI systems capable of understanding and generating human language by processing vast amounts of text data. Read more ›
dmtrKovalenko/fff (The fastest and the most accurate file search SDK for AI agents, Neovim, Rust, C, Python, Bun and NodeJS #Rust Nightly release from commit: 28fce41 npm packages, rust crates and python wheels are available under this version 0.10.6-nightly.28fce41 Neovim Plugin {target}.so /.dylib /.dll - Lua module for Neovim C FFI Library (for Bun/Node/Python) c-lib-{target}.so /.dylib /.dll - C FFI library MCP Server fff-mcp-{target} - MCP server binary Python Package python/*.whl /... Read more ›
Codename One's third-generation GUI Builder keeps the guided layout work from the previous editor and rebuilds the workflow around Maven projects, live CSS, protected Java regions, and fast switching between forms. Read more ›
EMBRACING AI AND FORMALIZATION: EXPERIMENTING WITH TOMORROW’S MATHEMATICAL TOOLS JAROD ALPER Abstract. You’ve heard the buzz: AI and formalization will revolutionize mathematics. Computers will soon surpass humans in solving olympiad-style problems. Humans will transition from proving research-level theorems on their own to guiding computers. And maybe you even believe the hype. Other than pulling out your hair waiting for the day when computers take your job, what can you do? If you are like... Read more ›
#748 – AUGUST 18, 2026 Breaking Up (Lines) Is Hard to Do Here’s a seemingly simple question: given a chunk of multi-line text, how do you split it and return an array? Unicode makes everything harder than it might first seem. B-LIST.ORG Coding With OpenCode: AI-Assisted Python Learn how to use OpenCode for AI-assisted Python coding, using a free Gemini API key to analyze and refactor code right in your terminal. REAL PYTHON course Quiz: Coding With OpenCode: AI-Assisted Python REAL PYTHON The... Read more ›
Test your understanding of Git basics for Python projects, including commits, the staging area, branches, merges, and working with remote repos. Read more ›
For more than four decades, AI pioneer Vasant Dhar has had a front-row seat to artificial intelligence—teaching AI, building companies around it, and bringing machine learning to Wall Street. Read more ›
AI assisted agentic coding has reached escape velocity, but non-programming use cases haven’t seen the same degree of adoption. I believe that the main reason for this is the lack of version control. Imagine using claude-code outside of a git repository. Even for small things like refactors, using AI would be very stressful and error prone: It would be near-impossible to track the changes that the LLM made. Auditing the LLM generated code is useful in the moment to ensure that changes are rea... Read more ›
Archaeologists have tested a new way to train deep learning models when real examples of a site type are scarce. Instead of large collections of known sites, the team created simulated archaeological objects and placed them into real lidar terrain data. The study focused on 12 unusual circular structures in Kisatchie National Forest, Louisiana. The […] Read more ›
Programming book reviews, programming tutorials,programming news, C#, Ruby, Python,C, C++, PHP, Visual Basic, Computer book reviews, computer history, programming history, joomla, theory, spreadsheets and more. Read more ›
Anthropic's agentic coding tool for developers. Claude Code understands your codebase, edits files, runs commands, and helps you ship faster. Read more ›
A look at AI Chip Architectures. NVIDIA, AMD, TPUs, Trainium, Groq, Cerebras. Read more ›
When your pytest CI unit test workflow starts taking longer and longer, you’ll want to speed it up. We don’t like to wait for tests to complete in CI, and while you can run them locally, eventually it will take a long time on your local machine as well. Waiting for tests to complete wastes developer time, so let’s speed up your pytest CI workflow. The first most obvious step is to use a plugin like xdist to parallelize the tests across multiple workers. A standard GitHub Actions runner comes... Read more ›
Compute is the brain of the Waymo Driver, translating raw sensor data into real-time driving commands. Operating demonstrably safe, physical AI on the road demands a fundamental shift towards a system engineered for deterministic, low-latency performance. Over the past decade, we have co-designed our hardware, sensors, and algorithms side-by-side to solve the unique constraints of real-world edge compute. We’re offering the first look under our trunk to share our approach to compute, our cust... Read more ›
AI control research asks how to deploy models safely even when they may be misaligned, but many control protocols assume that the deployer can instrument the model and its surrounding pipeline. That assumption often fails for regulated organisations using frontier models through APIs or managed endpoints, where the deployer may control the business process but not the model weights, serving infrastructure, internal traces, update process, or ful... Read more ›
Print as PDF Visit website WAJ · Software Engineering // PROFILE 2026 AI Software Engineer AI Systems & App Development 25+ years of development experience ### What I deliver for you ▸ AI Agents & Automation – autonomous workflows that measurably accelerate business processes ▸ Data Solutions – from pipelines through analytics to scalable data platforms ▸ App Development – high-performance web & mobile apps, AI-assisted and built in record time ▸ Architecture & Consult... Read more ›
How to transform your software development lifecycle with AI—stage by stage. Read more ›
Have you ever wondered how a computer can recognize a handwritten number, predict whether an email is spam, recommend a video, or understand a sentence? A lot of modern AI systems rely on something ca Read more ›
pip is Python's package manager - here's how to use it properly, from requirements.txt and version pinning to editable installs, CI patterns, and when to reach for uv instead. Read more ›