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I can't write code. That's not quite right. I describe what I want, Claude writes the code, and I focus on what to build. I'm what people call a VibeCoder — someone who builds products with AI, spending their time on product decisions rather than syntax. I'm building "Arc," a mobile CRM for bodywork
Who this is for: Developers, researchers, or knowledge workers who take notes in Obsidian and want Claude Code to read, write, and act on their vault — not just answer questions about it. Claude Code has one fundamental problem: it forgets everything between sessions. Every time you start a new sess
If I have to touch infrastructure, I double my estimate. In early 2025, that was the prevailing sentiment among developers at PayFit. It wasn't that we didn't have tools, we had plenty. We also had a platform team. Actually, we had five of them. And that was exactly the problem. Between 2019 and 202
Introduction What the System Does Architecture Overview Audio Input — Streamlit's built-in st.audio_input() handles browser microphone recording. File upload supports .wav, .mp3, and .m4a. Speech-to-Text (STT) — I used Groq's hosted Whisper API (whisper-large-v3). More on why below. Intent Classific
If you're running a monorepo where multiple apps deploy independently through multiple environments, you'll eventually hit a limitation that GitLab CI handles natively: GitHub Actions doesn't support wildcards for environment variable scoping. In this post, I'll explain why this becomes a real probl
The gap that motivated this project Production fault injection tools — Gremlin, Steadybit, AWS FIS — are powerful, and the chaos engineering discipline they represent has genuinely matured over the past decade. But every tool in that class shares a structural constraint: it operates on running syste
Long-running background jobs are a fact of life in video processing. When a user uploads a 30-minute video, your AI pipeline might need two or three minutes to download, transcribe, and clip it. The worst thing you can do is show a spinner and leave people wondering if something broke. In ClipCrafte
最近做了一个小工具，解决自己发版前总是忘记检查的问题。分享给大家看看有没有用。 痛点： 用 AI 写代码（Copilot / Cursor / Claude），改了什么文件有时候自己都不清楚 小团队没有专门的 code review 流程 发版前靠记忆检查，容易漏 Release Guard Lite 做的事情很简单： 读 git diff，看改了哪些文件 检测高风险文件（数据库迁移、认证、支付、环境变量） 跑你配置的检查命令（测试、lint、类型检查） 给出风险等级：LOW / MEDIUM / HIGH 生成 Markdown 报告，可选推送到 Discord npx release-gu
A CEO in Dubai once told me: "I've hired three remote senior developers in the last year. All three failed. I'm starting to think remote technical leadership just doesn't work." I asked him three questions about how those engagements were structured. Within five minutes, the problem was obvious — an
Stop using templates. Describe your project. Generate it with AI. Most scaffolding tools today rely on static templates. They work — but they’re rigid. You pick a template, then spend time modifying it to fit your needs. What if you could just describe your project? Instead of choosing a template, y
If you've been ignoring the "quantum computing will break encryption" headlines for the last few years, I get it. It felt like a distant problem. But NIST finalized its first post-quantum cryptography standards in 2024, major browsers already support hybrid key exchange, and the timeline for "harves
Your AI coding assistant just generated a beautiful dashboard in 30 seconds. There's just one problem: it's showing static mock data. You need live data. Sensor readings from your IoT devices. Telemetry from production systems. Event streams from Kafka. But AI tools like Claude Code, Cursor, and Cop
SonarQube is the most widely used static analysis platform for Python in enterprise environments, and for good reason. Its Python analyzer ships with 500+ rules covering bugs, security vulnerabilities, and code smells - all tracked over time with a persistent dashboard, quality gates that can block
The first time I used Claude to help me write a FastAPI endpoint, I thought — okay, this is it. This is the thing that changes everything. The Drunk Intern Problem Here's the most accurate description of working with AI tools I've come across recently — it's like being handed an incredibly fast, hig
The Simplest Thing That Could Work There's a temptation, when you decide to "use AI for software development," to build something complicated. A custom orchestration layer. A RAG pipeline over your codebase. A fine-tuned model trained on your conventions. A plugin ecosystem. I used Markdown files. T
Hey everyone, The Problem I see: If you use a full-site builder like Wix or Webflow, you are locked into their ecosystem, and exporting the whole site results in unmaintainable "div soup." If you just need a single animated component, you are stuck hand-coding it from Figma designs, which slows down
Finding performance problems the week before launch is expensive. The code is complex, the team is stressed, and every fix risks breaking something else. Early performance testing flips that script by validating speed and stability while development is still happening—when problems are isolated and
Automation is the backbone of modern IT operations, and Ansible is one of the most popular tools for orchestrating infrastructure at scale. But with great power comes great responsibility: a single misconfigured playbook can impact thousands of systems in seconds. In this blog, we’ll break down how
In the quickly changing world of technology, it’s easy for software engineers and developers to get caught up in the details of programming languages, frameworks, and the newest tools. However, it’s important to remember that programming is just that… a tool. Our ultimate goal should be to solve pro
Most agent-demo discourse treats hallucination like a model problem. Wrong answer in, wrong answer out. The worse failure in practice is simpler. A confident wrong output turns into company truth. Then it is no longer "a bad generation." It is copy. A metric. A product claim. A technical explanation
