New Show Hacker News story: Show HN: Textrix – Open-source Medium.com-style editor for publishing platforms

Show HN: Textrix – Open-source Medium.com-style editor for publishing platforms
3 by abdulrahman-mh | 0 comments on Hacker News.


New ask Hacker News story: Ask HN: Copilot Makes Me Dumb

Ask HN: Copilot Makes Me Dumb
3 by ynarwal__ | 3 comments on Hacker News.
I've been noticing that Copilot is basically hijacking my problem-solving process. Instead of working through challenges myself, I find myself just going with whatever it suggests, even when I haven't fully thought the problem through. It's making me mentally lazy. The constant suggestions feel like having someone looking over your shoulder, blurting out answers before you've even finished forming the question. Really breaks your concentration and stops you from developing your own solutions. I'm thinking of disabling it for a while, maybe permanently. Don't get me wrong - LLMs are incredibly useful for development work, but only when I deliberately choose to use them. Having them always on feels like it's weakening my ability to think independently. Curious what others on HN think about this. Anyone else feeling like these tools are changing how they approach problems?

New ask Hacker News story: MatrixTransformer: Structural Pattern Discovery Without Training

MatrixTransformer: Structural Pattern Discovery Without Training
2 by AyodeleFikayomi | 0 comments on Hacker News.
Scans raw matrices to find symbolic structure (e.g., rank, symmetry, entropy) — no labels, no training required. Works across domains (biology, text, graphs). Try it in: https://ift.tt/HMRo48a https://ift.tt/YaCx54F Github Link: https://ift.tt/0Bsc5EP Great for data understanding, anomaly detection, or algorithm selection.

New ask Hacker News story: Most interesting job openings according to ChatGPT

Most interesting job openings according to ChatGPT
4 by jobswithgptcom | 0 comments on Hacker News.
I've always been fascinated by how large language models "think" about our work. So, I decided to run a little experiment. I gave a GPT model (gpt-4o-mini) a pretty unique task: to go through a big list of job postings and score each one from 0 to 100. But instead of the usual stuff like salary or experience, I gave it three abstract criteria to judge by: autonomy, innovation, and technical challenge. I got to see tons of interesting roles across industries that I had fun reading about. HN: Is this something that could be useful to build on as a job search feature? https://ift.tt/2b6EItZ

New ask Hacker News story: Getting 5 to 10 spam calls / voicemails - what changed?

Getting 5 to 10 spam calls / voicemails - what changed?
4 by tlogan | 9 comments on Hacker News.
I’ve noticed that spam calls and voicemails have been getting exponentially worse. I used to receive maybe two spam calls a week, things like loan offers, IRS, extended car warranties, and similar scams. That was annoying, but manageable. Lately, though, it feels like the volume is increasing rapidly. More calls, more voicemails, now multiple in a single day. Has something changed recently: telecom regulation, call filtering systems, or spammer tactics that might explain this spike? I just want to get educated. Is there some AI involved?

New Show Hacker News story: Show HN: How Claude Code Improved My Dev Workflow

Show HN: How Claude Code Improved My Dev Workflow
4 by IgorGanapolsky | 1 comments on Hacker News.
I've been using Claude Code for the past month and it's transformed my productivity. Show HN: Title: A New Era for Software Development: AI Pair Programming Vs. Traditional Methods Today, let's dive deep into a topic that's revolutionizing the software development landscape - AI Pair Programming. By shedding light on the specific problems it solves, we will explore a real-life case study, and provide actionable insights to help you enhance your workflow. Firstly, let's understand the challenge. Traditional pair programming, while being highly beneficial, is often hindered by scheduling conflicts, differing skill levels, and varying coding styles. Here's where AI pair programming steps in. It leverages artificial intelligence to generate code suggestions, allowing developers to work more efficiently. Consider the case of CodeStream, a software startup. They adopted AI pair programming using GitHub Copilot. The results? Their development speed increased by 30%, and the number of bugs decreased by 25%. They also witnessed a significant improvement in code quality. This case study clearly illustrates the transformative power of AI in software development. So how can you incorporate this cutting-edge method into your workflow? Here are three actionable insights: 1. *Embrace AI tools:* Start by integrating AI-based coding assistants like GitHub Copilot or Kite into your development environment. These tools provide real-time, context-aware code suggestions, significantly reducing your coding time. 2. *Upskill:* AI pair programming is not about replacing human developers. It's about augmenting their abilities. Therefore, it's crucial to upskill and stay updated with AI advancements in your field. 3. *Continuously Test:* While AI tools can write code, they're not infallible. Regularly testing the AI-generated code ensures optimal performance. Now, where does the Keychron K8 Pro Keyboard fit into this workflow? For a start, it's a tool that enhances programming efficiency. With its hot-swappable keys and customizable layouts, developers can create shortcuts for frequently used coding commands, thereby streamlining their workflow. Its Bluetooth 5.1 feature allows for smooth What tools are you using to improve your coding workflow? Disclosure: Post contains affiliate links.

New ask Hacker News story: Ask HN: How have you optimized your company/ work?

Ask HN: How have you optimized your company/ work?
4 by Xx_crazy420_xX | 0 comments on Hacker News.
Looking for routines, methodologies, bash scripts, or anything that works for you. I will start with mine: - Short cardio before meetings brings huge energy, especially if rest of team is involved - Define all tasks with short, crystal-clear acceptance criteria - Complete software rewrite is inevitable, don't overengineer - Code review should include aspects like user experience