OpenAI API ドキュメント 日本語訳｜#1 GET STARTED 前編｜Nobue Otsu｜地方で老舗パン屋を第三者承継
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Developers are increasingly relying on AI coding assistants to accelerate our daily workflows. These tools can autocomplete functions, suggest bug fixes, and even generate entire modules or MVPs. Yet, as many of us have learned, the quality of the AI’s output depends largely on the quality of the prompt you provide. In other words, prompt engineering has become an essential skill. A poorly phrased
This post is about why we need a coroutine package for Go, and what it would look like. But first, what are coroutines? Every programmer today is familiar with function calls (subroutines): F calls G, which stops F and runs G. G does its work, potentially calling and waiting for other functions, and eventually returns. When G returns, G is gone and F continues running. In this pattern, only one fu
Dataflow Indexer データ整合性担保と性能改善 - LegalOn Technologies Engineering Blog
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Golang Mini Reference 2022: A Quick Guide to the Modern Go Programming Language (REVIEW COPY)
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Coroutines and effects
For the past few months I’ve been mulling over some things that Russell Johnston made me realize about the relationship between effect systems and coroutines. You can read more of his thoughts on this subject here, but he made me realize that effect systems (like that found in Koka) and coroutines (like Rust’s async functions or generators) are in some ways isomorphic to one another. I’ve been pon
Building the fastest Lua interpreter.. automatically!
This is Part 1 of a series of posts. Part 2 is available here: Building a baseline JIT for Lua automatically It is well-known that writing a good VM for a dynamic language is never an easy job. High-performance interpreters, such as the JavaScript interpreter in Safari, or the Lua interpreter in LuaJIT, are often hand-coded in assembly. If you want a JIT compiler for better performance, well, you’
JavaScript needs more helper functions for iteration (map, filter, etc.) – where should we put them?
JavaScript needs more helper functions for iteration (map, filter, etc.) – where should we put them? Iteration is a standard that connects operations with data containers: Each operation that follows this standard, can be applied to each data container that implements this standard. In this blog post: We first explore three questions: How does JavaScript’s iteration work? What are its quirks? What
Why People are Angry over Go 1.23 Iterators - gingerBill
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Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Published April 12, 2024; last updated October 9, 2025. Automotive & Logistics Business & Professional Services Financial Services Healthcare & Life Sciences Hospitality & Travel Manufacturing, Industrial & Electronics Media, Marketing & Gaming Public Sec
Tier 4 Support § Support for these targets is entirely experimental. If this target is provided by LLVM, LLVM may have the target as an experimental target, which means that you need to use Zig-provided binaries for the target to be available, or build LLVM from source with special configure flags. zig targets will display the target if it is available. This target may be considered deprecated by
Deconstructing prompt-based meta-tool architecture and context injection patterns for AI engineering - Claude’s Agent Skills system represents a sophisticated prompt-based meta-tool architecture that extends LLM capabilities through specialized instruction injection. Unlike traditional function calling or code execution, skills operate through prompt expansion and context modification to modify ho
An interesting twist in my recent usage of SQLite was the fact that I noticed my research scripts and the database intertwine more. SQLite is unique in that it really lives in-process, unlike standalone database servers. There is a feature to that which does not get used very frequently, but can be indispensable in some situations. By the way, the talk about the system that made me me to explore S
Right now, asyncio is one of the trendier topics in Python, and rightfully so – It’s a great way to handle I/O-bound programs! When I was learning about asyncio, It took me a while to understand how it actually worked. But later, I came to find out that it’s basically just a really nice layer on top of Python Generators. In this article, I’m going to create a simplified version of asyncio using ju
An AI-native software engineer is one who deeply integrates AI into their daily workflow, treating it as a partner to amplify their abilities. This requires a fundamental mindset shift. Instead of thinking “AI might replace me” an AI-native engineer asks for every task: “Could AI help me do this faster, better, or differently?”. The mindset is optimistic and proactive - you see AI as a multiplier
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When developing real-time web applications, WebSockets might be the first thing that come to your mind. However, Server Sent Events (SSE) are a simpler alternative that is often superior. Contents Prologue WebSockets? What is wrong with WebSockets Compression Multiplexing Issues with proxies Cross-Site WebSocket Hijacking Server-Sent Events Let’s write some code The Reverse-Proxy The Frontend The
Note sys.monitoring is a namespace within the sys module, not an independent module, so there is no need to import sys.monitoring, simply import sys and then use sys.monitoring. This namespace provides access to the functions and constants necessary to activate and control event monitoring. As programs execute, events occur that might be of interest to tools that monitor execution. The sys.monitor
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Mark functions as async. Call them with await. All of a sudden, your program becomes asynchronous – it can do useful things while it waits for other things, such as I/O operations, to complete. Code written in the async/await style looks like regular synchronous code but works very differently. To understand how it works, one should be familiar with many non-trivial concepts including concurrency,
Automated Hydroponic System Build – Projects | Kyle Gabriel
Last Updated: August 28, 2022 Hydroponic farming is a method of growing crops without soil, with the main benefits of environmental and nutrient control, water conservation, and reduction of labor. This technique relies on a number of technologies that the principles of automation can be applied in order to improve yield and consistency. In this article and accompanying video, I’ll show you how to
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Here is a list of common Python interview questions with detailed answers to help you prepare for the interview as a Python developer. Python, with its versatile use cases and straightforward syntax, has seen its popularity growing continuously in software development, data science, artificial intelligence, and many other fields. As such, interviews for Python-related positions are designed not on
Performance of Python programs has been a major focus of development for the language over the last five years or so; the Faster CPython project has been a big part of that effort. One of its subprojects is to add an experimental just-in-time (JIT) compiler to the language; at last year's PyCon US, project member Brandt Bucher gave an introduction to the copy-and-patch JIT compiler. At PyCon US 20
[Simon Tatham, initial version 2023-09-01, last updated 2025-03-25] [Coroutines trilogy: C preprocessor | C++20 native | general philosophy ] Introduction Why I’m so enthusiastic about coroutines The objective view: what makes them useful? Versus explicit state machines Versus conventional threads The subjective view: why do I like them so much? “Teach the student when the student is ready” They s
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The Prompt Engineering Playbook for Programmers
research!rsc: Coroutines for Go
0.10.0 Release Notes ⚡ The Zig Programming Language
Claude Agent Skills: A First Principles Deep Dive
Supercharge SQLite with Ruby functions
How Python Asyncio Works: Recreating it from Scratch
The AI-Native Software Engineer
sys.monitoring — Execution event monitoring
Following up on the Python JIT
Philosophy of coroutines