Claude Code Opens Bun Help Screen? Step-by-Step Fix for Windows & npm
5 days ago 高效码农Claude Code CLI Opens the Bun Help Screen Instead of Starting? A Practical Troubleshooting Guide for PATH, npm, and Installation Issues Running claude Shows Bun Instead of Claude Code If you type: claude and instead of launching Claude Code you see something like this: Bun is a fast JavaScript runtime, package manager, bundler, and test runner. Usage: bun <command> … you are not looking at a Claude Code error. What actually happened is that your command execution chain ended up invoking Bun, not Claude Code. This situation can be confusing because the command itself exists and executes successfully. There is …
Excel AI Automation: Why File-Parsing Fails and How Native COM via ExcelMcp Empowers AI Agents
6 days ago 高效码农How to Drive Native Excel with ExcelMcp for AI Agent Automation How can you enable AI assistants to directly interact with Microsoft Excel to build complex data models, generate PivotTables, and refresh Power Query connections? Traditional automation approaches rely on third-party libraries to parse raw .xlsx files. This strategy strips away dynamic formula recalculations and prevents you from triggering live VBA macros or internal Excel calculation engines. ExcelMcp bridges this gap using the Model Context Protocol (MCP) and Windows COM automation, giving AI tools like GitHub Copilot, Claude, and Cursor direct control over a running Microsoft Excel instance. What ExcelMcp …
Pi Coding Agent No Matching Models? Fix Alibaba Token Plan Issue
7 days ago 高效码农Pi Coding Agent CLI + Alibaba Cloud Model Studio Token Plan: Troubleshooting “No Matching Models” After Successful Login Problem Overview: Why Does Pi Coding Agent Show No Models After Alibaba Token Plan Login? Pi Coding Agent CLI can successfully authenticate with Alibaba Cloud Model Studio Token Plan, but still fail to display any available models. The typical symptom looks like this: Only showing models from configured providers. Use /login to add providers. No matching models At first glance, this error looks like an authentication problem. However, during troubleshooting, the actual issue was different. The login process was successful: ❀ Alibaba …
DashScope Pi Agent Configuration: Step-by-Step Guide to Token Plan Setup
8 days ago 高效码农How to Configure DashScope Token Plan in Pi Agent To connect Alibaba Cloud DashScope’s Token Plan to Pi Agent, you need to register [https://coding.dashscope.aliyuncs.com/v1](https://coding.dashscope.aliyuncs.com/v1) as an OpenAI-compatible service within Pi’s local configuration files. By default, Pi’s interactive terminal login menu (/login) only lists natively pre-configured providers. You won’t see an option to enter a custom API endpoint directly in that UI menu. The solution is straightforward: define your service configuration in a local models.json file. Once the base URL, authentication key, and model IDs are mapped correctly, restart Pi and select your custom model through the /model menu. Here is …
Claude Code Session Recovery: How to Instantly Resume After Ctrl+C in PyCharm
9 days ago 高效码农PyCharm Terminated Claude Code via Ctrl+C? Here’s How to Instantly Recover Your Lost Context You were in the middle of refactoring a complex asynchronous module inside PyCharm using Claude Code. Context was built up, edge cases were analyzed, and you were one step away from finishing. Then, out of muscle memory, you pressed Ctrl+C. The active session vanished. Your terminal dropped back to a plain $ or PS> prompt. It is easy to assume the worst: Did I just lose half an hour of conversation context? Do I need to start over and re-feed all my project rules to the …
Gemini API Managed Agents Just Got Free Tier, Budget Controls, and Cron Triggers – Here’s What That Means for You
10 days ago 高效码农Gemini API Managed Agents Just Got Free Tier, Budget Controls, and Cron Triggers – Here’s What That Means for You If you’ve been following the Gemini API’s managed agents (the ones that run in an isolated sandbox with code execution, file management, and network access), you probably had two reactions: “this is incredibly useful” and “how do I keep costs under control?” Google just addressed both. The latest updates – free tier availability, budget guardrails, and scheduled triggers – turn managed agents from a powerful but slightly risky tool into something you can actually deploy without holding your breath. I’ve …
CoPaw JSONDecodeError: How a Corrupted Session State File Crashed Our AI (And How We Fixed It)
11 days ago 高效码农How We Diagnosed and Fixed a CoPaw 1.0.2 JSONDecodeError Caused by a Corrupted Session State File Keywords: CoPaw 1.0.2, JSONDecodeError, CoPaw session state, AgentScope Runtime, Python JSON error, CoPaw troubleshooting, corrupted JSON file, FastAPI 500 error, AI agent debugging Introduction While running CoPaw 1.0.2, we encountered a recurring error that prevented chat sessions and agent tasks from executing correctly. The application started normally, models loaded successfully, but any attempt to access chat history or execute an agent workflow resulted in a failure. The root cause turned out to be a surprisingly common issue in stateful AI applications: an empty or …
GPT-5.6 Prompt Optimization: The Lean Way to 66% Token Cuts
12 days ago 高效码农Stop Over-Prompting GPT-5.6: Why Leaner Instructions Deliver Better Results Working with GPT-5.6 is like onboarding a brilliant but impatient new hire. The more you try to micromanage every step, the more likely it is to go off the rails. Instead of spending hours writing lengthy system prompts, focus your energy on clarifying the outcome and defining the stopping conditions. Earlier this year, OpenAI rolled out GPT-5.6. Our team immediately migrated our internal coding-agent pipeline to test it out. The results were counterintuitive: our old, verbose prompts—the ones that worked perfectly fine on GPT-5.5—actually hurt performance. When we stripped down the …
Unified Multimodal Generation: One Model for All Vision Tasks? SenseNova‑Vision Answers
13 days ago 高效码农One Model for All Vision Tasks? SenseNova‑Vision Answers with Unified Multimodal Generation Computer vision has long been a patchwork of isolated islands. Object detection spits out bounding boxes, segmentation produces masks, depth estimation gives grayscale maps, and 3D reconstruction deals with point clouds and camera parameters. Each task has its own output format, its own network heads, its own evaluation metrics. Trying to do multiple things with a single model usually means wrestling with incompatible output spaces. SenseNova‑Vision tackles a straightforward question: can we squeeze the entire spectrum of computer vision tasks into a single generative framework? Much like GPT …
How to Extract Real Research Innovation from Literature Gaps: The Evidence Problem Card Method
14 days ago 高效码农How RW Research Skill Extracts Actual Research Innovation from Literature Gaps A literature gap is just a hole in the data. It is not a research plan. Many researchers hit a wall after reading dozens of papers and building massive extraction tables. They stare at the screen, unable to decide what to actually study. You spot an author writing “further research is needed” in the discussion section. You notice a population no one has touched, a method rarely applied in a specific niche, or two papers arriving at opposite conclusions. All of these are gaps. But a gap merely indicates …
Gemini 3.6 Flash Migration: 5 Critical API Changes That Will Break Your Code (And How to Fix Them)
14 days ago 高效码农Gemini 3.6 Flash & 3.5 Flash-Lite Are GA: What Breaks, What’s Better, and How to Migrate Google just made Gemini 3.6 Flash and Gemini 3.5 Flash-Lite generally available. That means they are production-ready, right now. I’ve dug through the official release notes, and here’s the thing: these aren’t just “better models.” They come with API changes that will break your existing code if you aren’t paying attention. Specifically, temperature, top_p, and top_k are being shown the door. This post cuts through the marketing. I’ll tell you exactly what each model does well, which one you should pick for your workload, …
Financial Agent Skills: The Playbook for Building AI Digital Employees
15 days ago 高效码农Financial Industry Agent 100 Skills: From General AI to Digital Employees – A Practical Guide By 2026, AI adoption in China’s financial sector has crystallized into concrete numbers: 7‑day iteration cycles, over 2,500 deployed agents, and end‑to‑end process re‑engineering. Large models plus agentic systems have proven the arrival of what some call the “Loopy Era” – agents that can autonomously design experiments, refine models, and iterate without human supervision. This isn’t a roadmap anymore; it’s what’s happening on the ground. Yet one question keeps coming up in every bank, insurer, and asset manager I talk to: How do you make …
CodeX Reconnecting 5/5? Fix WebSocket Issues with This Simple HTTP Config Twea
16 days ago 高效码农CodeX Stuck on “Reconnecting 5/5”? Stop Blaming the Model—Here’s How to Skip WebSocket and Go Straight to HTTP You ask CodeX to change one line of code. Instead of editing, it spends 30 seconds showing “Reconnecting 1/5 … 5/5”, then “Thinking…” for a while longer. You stare at the terminal: is it deep in reasoning, or just stalling? It’s neither. The model hasn’t even started. The network layer is busy retrying a path that won’t work—five times, back to back—before it finally falls back to a working connection. Your internet speed isn’t the problem. The culprit is your proxy, …
Production-Grade AI Agent Architecture: The Hermes Runtime That Keeps Agents Alive
17 days ago 高效码农Production-Grade AI Agent Architecture: A Deep Dive into the Hermes Runtime Treating an AI Agent as nothing more than a ReAct loop wrapped around an LLM works fine in a demo. Ship it to production, and it’ll collapse within three days. It’s not the model’s fault—it’s the missing runtime. The Real Question: What Is an Agent Framework Actually Solving? Over the past two years, I’ve built my fair share of Agent applications. I started with quick LangChain prototypes—basic chatbots that barely held context. But eventually, I needed something that could run inside Feishu (Lark), read local files, call internal APIs, …
Claude Loops: Stop Using AI as a One-Shot Calculator and Build Reusable Workflows
18 days ago 高效码农Stop Using Claude as a One-Shot Calculator: Building Reusable Workflows with Claude Loops Most people still interact with Claude in a one-shot pattern. You write a prompt. Claude responds. The session ends. The next day, you rebuild the exact same context from scratch. That works fine for isolated tasks. But for repetitive work—daily code reviews, CI triage, project monitoring, meeting follow-ups—rebuilding context daily isn’t a workflow. It’s manual labor with AI sprinkles on top. The better abstraction is a loop. What a Claude Loop Actually Is (And Why It’s Not Just “Asking Again”) A Claude Loop is not simply “asking …
8 Hermes Agents: Build Your Unmanned Ops Team with One Person – Complete Blueprint
19 days ago 高效码农One Person, One Company: How to Build Your Unmanned Ops Team with 8 Hermes Agents 「Hire one person, and you get 40 hours a week. Deploy 8 AI Agents, and you get 168 hours a week—without the payroll headache.」 This isn’t sci-fi. It’s happening right now. In July 2026, Nous Research released Hermes Agent v0.18.0. Based on this release, a solo founder set up 8 AI profiles—digital employees with independent memory, skill sets, and scheduled tasks—to run an entire business operation. We’re talking morning briefs, competitive intelligence, content production, sales lead follow-ups, contract proposals, financial analytics, and server maintenance. These …
CodeDrobe Exposed: How to Safely Theme Your Codex Desktop App Without Touching Any Files
20 days ago 高效码农Giving Your Codex Desktop App a Face-Lift: The Complete CodeDrobe Guide OpenAI’s Codex desktop application looks clean out of the box, but staring at the same interface day after day gets monotonous. You want to change up the visuals, but you are understandably wary of breaking the official installation. CodeDrobe is an open-source toolkit built specifically for this. It applies external themes to the Codex app on both macOS and Windows without touching a single underlying file. CodeDrobe Desktop managing Codex custom themes The image below, sourced from Unsplash, captures the kind of focused, immersive atmosphere a good custom theme …
Agent Skills: The Senior Engineer Workflows Your AI Coding Assistant Needs
20 days ago 高效码农Agent Skills: Giving AI Coding Agents the Muscle Memory of a Senior Engineer AI coding assistants can write code fast. What they can’t do reliably is follow a process—write a spec before writing code, add tests before shipping, run security checks before merging. They take the shortest path, and in production, the shortest path is usually the one that breaks. Agent Skills by Addy Osmani is an open-source project that solves this. It encodes the workflows, quality gates, and best practices that senior engineers use into structured “skills” that AI agents can follow consistently. The pack includes 24 skills covering …
Feedgrab: Turn Any URL Into Structured Markdown (Supports 17+ Platforms & X/Twitter’s 6-Tier Fallback)
21 days ago 高效码农feedgrab: Pass It a URL, Get Structured Content Back I’ve lost count of how many tools call themselves “universal content extractors.” Most support a handful of platforms and fold the moment they hit a bot detector. feedgrab is different — it actually delivers on the promise: give it any URL, get structured Markdown back. The six-tier fallback chain it uses for X/Twitter is something I haven’t seen in other open-source projects at this level of depth. This post breaks feedgrab down: what it grabs, how to install it, how to use it, and where the rough edges are. What can …
OpenClaw v2026.7.1: The Control UI Overhaul and GPT-5.6 Integration That Will Revolutionize Your Workflow
22 days ago 高效码农OpenClaw v2026.7.1 Breakdown: Control UI Overhaul, GPT-5.6 Integration, and Native App Rebuilds OpenClaw v2026.7.1 is a massive release—3,063 contributions from 532 people across 2,018 public pull requests. Raw numbers don’t tell the whole story. What actually matters is the complete rewrite of the Control UI, the offline capabilities finally reaching the official iOS, Android, and macOS apps, the integration paths for GPT-5.6 and Tencent Hy3, and the fact that a few long-standing stability nightmares finally got fixed. I’m breaking this down by functional module, focusing on what changed, why it changed, and how it behaves in practice. 图片来源：Unsplash What exactly …