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OpenAI published a practical guide for building with the GPT-6 model family, covering model selection, reasoning effort, prompt caching, compaction, and managing long-running agentic workflows in production.
This article provides a detailed guide on using the Jev AI model cost-effectively through batch queries and its stateful billing mechanism, with specific configurations and code examples.
This is a preface to a human-written guide for the Jujutsu (jj) version control tool, emphasizing its practical, incremental, and free nature.
This handbook teaches developers about embedded systems firmware basics, covering hardware, software, memory management, and tools for creating intelligent devices.
A comprehensive, step-by-step roadmap for mastering cybersecurity from beginner to expert level, featuring curated resources, tools, and career guidance.
The fourth edition of 'The Quick Python Book' by Naomi Ceder, updated for Python 3.13, covers Python basics and introduces AI code generation tools for intermediate developers.
This guide shares practical tips on how developers can effectively market their side projects to gain visibility and paying users, based on personal experience with building and launching a micro-SaaS.
LangChain's official Agents From Scratch tutorial provides a detailed guide on how to build an AI agent from scratch with human-in-the-loop and memory capabilities, covering four parts: basic setup, evaluation system, human-in-the-loop (HITL), and long-term memory.
This article explains how to maximize Claude Code sessions by detailing input/output token costs, prompt caching mechanisms, and optimization tips for efficiency.
A tweet from @TwinkuAI sharing a guide on how to build an AI agent in 2026.
A comprehensive guide for software developers entering the data field, explaining the data tools landscape, key concepts, and workflows from ingestion to visualization.
This article covers essential knowledge for Python developers about the CPython Application Binary Interface (ABI), including its implications for extension modules and compatibility.
The CUDA Handbook, a comprehensive guide to GPU programming with CUDA, is now available online for free reading with ads or ad-free via membership. The book covers architecture, APIs, and algorithms, with open-source code.
The Interactions API now supports background=True for async agent tasks, allowing long-running operations beyond HTTP timeouts. A guide explains usage, reconnection, and streaming.
realchendahuang published a Cloudflare Playbook for independent developers using AI coding, covering service selection, usage, free tier, paid plans, common pitfalls in AI coding, and open-source project references for Workers, Pages, D1, R2, KV, and other services.
Agent-Learning-Hub by DataWhale is a systematic learning roadmap and resource repository for AI Agent development, featuring 8 learning stages and 11 progressive projects to help developers build reliable AI agents from scratch. It has gained 3.9k+ stars.
WeChat released the developer access guide for Mini Program AI development mode (beta), allowing developers to encapsulate Mini Program functions as SKILLs via MCP protocol for AI invocation. It is currently in internal testing.
DiffusionGemma is a new experimental model from Google DeepMind that uses parallel generation on a 256-token canvas, achieving up to 4x faster token generation on GPUs. This developer guide explains its architecture, bidirectional context, and includes a fine-tuning recipe for solving Sudoku.
A detailed technical guide explaining Exif metadata structure, how it is stored in JPEG and other image formats, and practical considerations for developers working with image pixel data.
It is recommended to directly view the official Hermes Agent architecture documentation and use Codex or Claude Code to open the project codebase, letting the Agent explain the code for deeper understanding.