After reading Mario Zechner’s “I’ve sold out” and then reviewing AGENTS.md and CONTRIBUTING.md in the pi repository, I found that this project differs from common open-source collaboration methods in many ways. New contributors’ issues and PRs are closed by default, no reviews on weekends, and don’t submit PRs if you don’t understand the code. It seems tough, but behind it is a serious attempt to address a problem: how open-source projects can avoid being bogged down by low-quality contributions in the AI era.

The Explain Error Plugin has recently received several important updates: AI Auto-Fix for automatically creating fix PRs, usage statistics and quota management, and added support for four new AI providers: DeepSeek, Qwen, Azure OpenAI, and Custom Okta.

Codex’s $22 monthly subscription fee and usage limits prompted me to seek a cheaper, stable, and always-ready backup solution. After an unsuccessful attempt with OpenCode, I turned to the Pi + DeepSeek combination. The result was a bit unexpected: writing an entire blog post cost only 0.24 RMB.

In today’s era of rapid AI technological advancement, many companies are chasing the AI wave. But do we truly understand the distinction between “Automation” and “AI Agent”? This article will explore, from a practical application perspective, in which scenarios deterministic automation should be used, and in which scenarios AI Agents should be introduced. Through comparative analysis, we hope to help readers make more informed technical choices in this “all-in-AI” era.

A Python supply chain attack has occurred, where a single pip install can steal all your credentials. This post introduces how to use pipguard to intercept malicious packages before installation.

Hadolint’s pre-commit integration has long lacked an automatic installation solution, a problem that has plagued the community for three years. This article explains how, by packaging the Hadolint binary into a Python Wheel and publishing it to PyPI, pre-commit can integrate Hadolint with a single command, just like any Python tool, completely eliminating the burden of manual downloads and environment configuration.

In the previous article, I wrote about receiving a donation from Canonical, and a reader asked: How did you get selected? At first, I didn’t fully understand it either. Later, after carefully studying thanks.dev’s operational mechanism, I finally figured out the underlying logic of the whole thing—and what kind of projects are more likely to be funded by downstream vendors.

Today, I unexpectedly discovered that Canonical has been donating to me via thanks.dev for four consecutive months to support the development of badgepy. Although the amount is small, this feedback means a lot to me. It made me realize that sometimes, if we just keep doing the right thing without worrying too much about rewards, the results might come back to us in a warm and unexpected way, from a place we never anticipated.

Today’s job market values practical skills and the ability to create value more than ever before, rather than just academic qualifications. This post shares the story of a high school dropout who successfully joined OpenAI through self-study and actively creating opportunities, and why directly showcasing your “nuclear weapon” achievements might be the most effective strategy for job searching.

I recently undertook a major UI redesign for the open-source project GitStats, adding dark/light mode toggle, responsive adaptation, and a modernized visual design, making the reports look like a real product.

OpenClaw is a great idea, but it won’t be a great solution. High costs, security risks, big tech competition, and a lack of user education—these four obstacles combined make it difficult to sustain a long-term prosperous ecosystem.

The latest ‘2025 State of DevOps Report’ reveals that DevOps skills have become an essential requirement for career survival. 40% of enterprises list them as “must-have,” with another 43% indicating they will soon be mandatory. Employers value practical experience more than training certifications. Despite the high popularity of AIOps and DevSecOps, their actual implementation is still in its early stages.