Tags / Engineering & tools
Productivity
- Is Dish Soap Safe for Eyeglass Lenses? A 100-reply V2EX thread agrees with Zeiss: neutral dish soap is the recommended wash. Scratches usually come from dry-wiping dust, not detergent.
- How much AI-written code should you review? Go by risk A V2EX user asked: after AI changes your code, do you read the diff? Of 94 replies, fewer than one in ten review carefully, yet they got the most likes. Using code review research plus DORA and Veracode data, here is a risk-based review ratio and six things worth checking every time.
- Why fan-translation crews may fear AI the least A Kazix interview piece: subtitle and manga fans don’t resist AI. When the goal is “more people can understand what we love,” automation of grunt work—and even the end of the crew—can be good news.
- V2ers on Lying Flat: Meta Build, or Move Back to a County Town? Two V2EX threads, side by side: a slogan post about “four nos,” and a concrete case with ~¥2M savings, a kid, and a rural house. The real fight is definition vs constraints.
- Code Is Fast, Delivery Isn't: Muse and One Context Coding speed gains get eaten by specs, context gaps and handoffs. Muse puts Agent OS and Harness on one context line — product, eng and QA need one flow.
- ChatGPT Improves Answers; Critical Thinking Widens Ideas A 1,000-student RCT from Bocconi and OpenAI: AI raises polish; causal-reasoning training raises originality. Old rubrics miss half the signal.
- Why Code Search Makes Coding Agents So Expensive Sonar's comparison on Turing Post: semantic code navigation cut agent cost 5–36%. The sharper question: did the agent find every site that needed to change?
- Zero-Cost Cold Start: 10 Methods from AFFiNE's Co-Founder HeyGen ran 1,800 user interviews via a Fiverr video studio; Lark SEA got 30 of 50 early customers from LinkedIn DMs. Ten zero-cost ways to find early users.
- RingCentral Goes AI-Native: From Challenge to PMO OS OpenAI case study: RingCentral gave ChatGPT Work and Codex to thousands of staff, and its PMO turned AI workflows into a program-management operating system.
- Why Build Your WebApp in Canvas Instead of HTML Why Google Docs, Sheets, Canva, Miro, and Hivekit’s scheduler paint core UI on Canvas—speed, control, consistency, portability—and when you should not.
- The scarcest skill in the AI era: saying it clearly Why are 99% of the questions people ask AI garbage? We never learned to speak clearly. Clarity is what turns a model into a lever instead of a junk factory.
- AI made people faster. Why didn't the company get stronger? Everyone is on ChatGPT; results did not take off. A 130-year-old story about electric motors is still the most honest picture of how AI lands inside a firm.
- AI didn't 10x your output. It 10x'd the work. A Silicon Valley engineer on the real numbers: 93% use AI, throughput rose ~10%, one study found it made people 19% slower. AI fatigue is structural.
- When I learn a new field, I scrape it first The first step in a new field isn't reading a book. It's scraping the best sources into a private knowledge base: zero to 80 clean documents in two hours.
- Taste at Speed: when building is cheap, PM skill changes Anthropic's Boris Cherny ships 20–30 PRs a day, all written by Claude. When building isn't the bottleneck, the PM job is to evaluate fast and kill most of it.