From Zero to One: Building Your First ChatGPT App with OpenAI Apps SDK Have you ever imagined ChatGPT not just answering questions, but also showing an interactive to-do list, a 3D solar system model, or even a pizza ordering interface? The OpenAI Apps SDK makes this possible. This article will provide a complete breakdown of how to use the Apps SDK and its ecosystem tools to step-by-step build and deploy your own embedded ChatGPT application. Article Summary The OpenAI Apps SDK allows developers to create interactive application interfaces for ChatGPT. Its core is a server built on the Model Context …
The State of AI Coding Tools in 2025: 76% Productivity Boost and Complete Market Analysis Summary: Cross-industry data reveals AI coding tools dramatically improving developer productivity. Code output increased 76%, with mid-sized teams seeing 89% gains. OpenAI maintains dominance while Anthropic grows rapidly. Performance benchmarks show response speed matters more than throughput for interactive coding scenarios. Introduction: How AI Coding Tools Are Reshaping Development Workflows In 2025, AI coding tools have evolved from experimental technologies to essential components of software development. Based on Greptile’s comprehensive cross-industry research report, we’ve discovered that AI tools aren’t just changing how developers work—they’re delivering …
Gemini Deep Research: Embed Google’s Advanced Autonomous Research Capabilities into Your Applications via the Interactions API Core Article Question: What is the upgraded Gemini Deep Research agent, how does it perform, and how can developers leverage it to build advanced research tools? Article Opening Direct Answer The upgraded Gemini Deep Research agent is Google’s state-of-the-art autonomous research tool powered by Gemini 3 Pro, accessible to developers via the new Interactions API, with industry-leading performance across key benchmarks and real-world value in fields like finance and biotech. It enables the embedding of robust, low-hallucination research capabilities into custom applications, alongside a …
PAL MCP: Assemble Your AI Developer Team. Stop Working with Just One Model. Have you ever imagined a scenario where Claude, GPT-5, Gemini Pro, and a locally running Llama could all work for you simultaneously? What if these top-tier AI models could not only perform their individual tasks but also discuss, exchange opinions, and even debate with each other, ultimately presenting you with a “team-negotiated” optimal solution? This sounds like science fiction, but PAL MCP (Provider Abstraction Layer – Model Context Protocol) has made it a reality. It is not a new AI itself, but an intelligent “connectivity layer,” a …
Build Your Own AI Coding Assistant: A Step-by-Step Workshop Welcome to this exciting technical workshop where you’ll build your own AI-powered programming assistant from scratch! Whether you’re new to artificial intelligence or have some experience, this workshop will guide you through creating increasingly sophisticated versions of your assistant, culminating in a powerful local development tool. Imagine having an assistant that understands your programming needs, reads your code files, executes system commands, and even helps modify your code—all built with your own hands. This workshop provides clear guidance and examples for every step of the process. What You’ll Master in This …
A Practical Approach to Verifying AI-Generated Code at Scale: Lessons from OpenAI’s Codex Reviewer Core question this post answers: When AI can write code far faster than humans can review it, how do we build a verification system that engineers actually trust and use every day? On December 1, 2025, OpenAI published one of the most concrete alignment progress updates of the year: a detailed case study of the dedicated code-review agent shipped with GPT-5-Codex and GPT-5.1-Codex-Max. This isn’t a research prototype — it’s running on every internal pull request at OpenAI, used proactively by engineers via the /review CLI …
Code Kanban: The Ultimate Terminal Management Tool for AI-Powered Development In today’s AI-assisted programming landscape, developers face a new challenge: how to efficiently manage multiple AI coding tasks simultaneously? Picture this: you have Claude, Cursor, and Gemini working on different branches, with twenty-plus terminal windows to juggle. Sound overwhelming? Code Kanban was built specifically to solve this pain point. It’s not another AI programming assistant—it’s a management platform that helps you work better with your existing AI tools. What Exactly Is This Tool Code Kanban is a locally-run project management tool designed specifically for AI-era programming workflows. Simply put, it’s …
Claude Can Now Use Tools Like a Developer—Here’s What Changed “ Original white-paper: Introducing advanced tool use on the Claude Developer Platform Author: Anthropic Engineering Team Re-worked for global audiences by: EEAT Technical Communication Group Reading level: college (associate degree and up) Estimated reading time: 18 minutes 1. The Short Version Claude gained three new abilities: Tool Search – loads only the tools it needs, cutting context size by 85 %. Programmatic Tool Calling – writes and runs Python to call many tools in one shot; only the final answer re-enters the chat. Tool-Use Examples – real JSON samples baked …
Agent Design Is Still Hard Have you ever wondered why building AI agents feels like navigating a maze? Even with all the tools and models available today, putting together an effective agent system involves a lot of trial and error. In this post, I’ll share some practical insights from my recent experiences working on agents, focusing on the challenges and lessons learned. We’ll cover everything from choosing the right SDK to handling caching, reinforcement, and more. If you’re a developer or someone with a technical background looking to build or improve agents, this should give you a solid starting point. …
Full Self Coding: The Revolutionary Framework for Automating Software Engineering Tasks Core Question This Article Answers How can AI agents automatically analyze code, decompose tasks, and modify code within secure, isolated environments to dramatically improve software engineering efficiency? This article provides a comprehensive analysis of the FSC framework and demonstrates how it achieves this goal. What is Full Self Coding (FSC)? Full Self Coding (FSC) is an innovative software engineering automation framework that integrates multiple AI agents (such as Claude Code, Gemini CLI) within Docker containers to execute tasks, enabling codebase analysis, task decomposition, automatic code modification, and comprehensive report …
code996: Analyze Git Commit Patterns to Understand Work Intensity code996 is an analysis tool that examines the time distribution of Git commits in a project, helping you understand the actual coding work intensity. It’s a practical way to explore the working patterns of a new team and identify potential overtime cultures. This is the updated Node.js version with enhanced features. The older version has been migrated to code996-web. What code996 Does When interviewing for a new job, we often ask about overtime policies—but the answers can be unreliable. However, code doesn’t lie. The timestamps of code commits tell a more …
Master Gemini 3 Pro in Gemini CLI: 5 Real-World Engineering Workflows to Try Now November 18, 2025 The terminal has evolved. With the integration of Gemini 3 Pro directly into the Gemini CLI, the command line is no longer just a place to execute scripts—it is now an intelligent environment capable of reasoning, planning, and complex problem-solving. Google’s most advanced model, Gemini 3 Pro, brings state-of-the-art performance to the terminal. This update introduces agentic coding capabilities that allow developers to go from abstract concepts to functional code in a single leap, alongside advanced tool use that orchestrates workflows across different …
AI Coding Assistant Training Data Extraction Toolkit: A Complete Collection Solution from Conversations to Code In machine learning model training, high-quality conversational data and code interaction records are the cornerstones of improving model performance. Whether you’re training a custom code assistant or analyzing how AI coding tools are used, you need complete, structured raw data. The toolkit we’re covering today is designed to solve this exact need—it automatically extracts all conversation, agent operation, and code context data from mainstream AI coding assistants, providing a solid data foundation for model training. I. What Can This Toolkit Do for You? Simply put, …
What is Bubble Lab and why should developers care? Bubble Lab is an open-source agentic workflow automation platform that compiles visual flow designs into clean, production-ready TypeScript code you can own, debug, and deploy anywhere. Unlike traditional workflow builders that trap your logic in proprietary JSON configurations, Bubble Lab generates human-readable source files that slot directly into your existing codebase, giving you full transparency and control from day one. 📋 Core Questions This Article Answers Why does the market need another workflow tool when N8N and LangGraph exist? Which of the three entry paths—hosted, local, or CLI—fits my team’s reality? …
Claude Code Viewer: A Comprehensive Web Client for Managing Claude Code Projects If you frequently use Claude Code for project development, you’ve probably run into these common frustrations: session logs scattered across local files that are hard to organize, struggling to pick up work seamlessly when switching between devices, or lacking an intuitive interface to monitor task progress in real time. Today, we’re introducing Claude Code Viewer—a tool built specifically to solve these pain points. It’s a full-featured web-based client for Claude Code that lets you easily manage sessions, view logs, control task progress, and even handle code changes—all through …
The Core Question This Article Answers This comprehensive guide addresses a fundamental question for developers worldwide: How can you effectively leverage Kimi For Coding—the intelligent programming assistant—to significantly enhance your personal development productivity? We’ll explore its core benefits, configuration across various development environments, and real-world implementation strategies. In today’s rapidly evolving technological landscape, developers face increasingly complex programming challenges and tight project deadlines. Kimi For Coding, as part of the Kimi membership benefits, provides powerful programming support and intelligent features for individual developers. Whether you’re an independent developer, student, or technology enthusiast, this tool can help you complete programming tasks …
Picture this: You’re knee-deep in a tangled codebase, spending hours just trying to get your AI assistant to truly grasp your tools, files, or even browser interactions. Enter the Model Context Protocol (MCP)—a game-changer that’s quietly revolutionizing how AI models and agents connect with the real world. It’s not some distant tech fantasy; it’s a protocol developers are already leveraging to shift AI from passive responders to active collaborators. Backed by the open-source community, the GitHub Copilot and VS Code teams have sponsored nine MCP-focused projects. These aren’t pie-in-the-sky ideas—they tackle everyday headaches, from framework integrations to code editing and …
In 2025’s developer landscape, AI-assisted coding has evolved from an experimental feature into a fundamental part of the toolchain. Among the most intriguing ecosystems, the combination of OpenAI Codex CLI and Chrome DevTools MCP (Model Control Protocol) is redefining how we collaborate with AI during software development. But let’s be honest — every futuristic tool eventually hits that one frustrating error message: “MCP client for chrome-devtools failed to start: program not found.” If you’ve seen this line flash across your terminal, you’re in good company. In this article, we’ll dive into what’s really happening under the hood, how to fix …
The Developer’s Frustration: Fragmented Workflows At 2 AM, your coffee mug is empty. Three terminal windows flicker before you—Node.js package errors flashing left, Go module downloads stuck at 99% center, and a rogue Python virtual environment prompt popping up right. This nightmare of fragmented development is all too familiar. But what if a single tool could unify 25+ programming languages into a seamless workflow? Enter Run, the GitHub-starred juggernaut redefining polyglot development. 🛠️ Why Run Reigns Supreme in Modern Workflows When you type run into your terminal, this 12MB Swiss Army knife performs three critical feats: Intelligent Syntax Detection Analyzes …
— A Developer’s Story of Building the Ultimate AI Command Line 🧩 Prologue: When the Command Line Fought Back It was 2 a.m. again. I had five terminals open: Claude debugging logic, Gemini refactoring configs, Ollama testing models, and me — the poor human orchestrating all of them. That’s when it hit me: AI was getting smarter, but my terminal was still dumb. Why should we juggle multiple tools, APIs, and tokens when all we want is one reliable interface? Why not make AI live in the command line — the one environment that has never failed us? That’s exactly …