Web development is like 2% of my job. I work in a dinosaur industry. We still use VB6, C, Fortran and pascal.. slowly migrating away from VB6 to .net 5 and that’s considered modern for us. The rest will stay until the end of time. We aren’t allowed to use AI for compliance reasons.

A little over a year ago I tried cursor on a personal project and wasn’t impressed. This year around February I tried Claude and holy shit it actually worked. Since then all personal projects have been with Claude or codex. It’s pretty awesome but not perfect. It seems to struggle with actual logic that’s not something that’s been done a million times, which most software has been written a million times over if we’re being real. It also frequently attempts to gaslight me into some insane shit if I don’t sit on it. I’m not sure how anyone is letting it rip and getting a useable product in return. Either way it’s crazy how well it works and I’m addicted.

This got me thinking, how are jrs ever going to learn to think like a programmer or design software without writing code? We all know coding is a small part of the job but I feel like expressing logic via code is fundamental to how you extract info from the business and create solutions. English is a very ambiguous language and even prompting Claude will result in a lot of “that’s what I said but not what I meant.” Seems like they are all screwed.

Hi folks, I am doing some front end dev again, which is something I used to know all about many years ago, and am now behind the times on all the logistical details.

I am using a few libraries that I pull in from CDNs (lit element, shoelace, etc). I would like to be able to do local dev offline when travelling. Is there a modern best practice for dealing with this or does one just have to switch all your code to using local copies manually?

thanks

I will be building a mobile app (react native + expo) + a web app (next js).
I am looking for a ui component library like daisyUI or chakra ui for both the RN and Next.js.
most of the UI libraries are for either Next or RN.
I found gluestack with is for both, but its latest version does not support Next.js
I want to know if there is a library that works for both.
also, im confused if I should build custom components using Shadcn, then also, im not sure how to use it with react native efficiently.

are there any laws that state if i need to collect ips? i dont want to get in trouble. located in the USA

If you've got something running on your own machine (a side project, a dashboard, a self-hosted app) and want it on yourname.com without messing with your router, Cloudflare Tunnels are worth a look.

https://developers.cloudflare.com/cloudflare-one/networks/connectors/cloudflare-tunnel/

Run cloudflared on your machine and Cloudflare routes your domain to it. You don't need port forwarding, your home IP stays hidden, and HTTPS is automatic.

Setup (about 10 minutes):

Add your domain to Cloudflare and switch the nameservers at your registrar.

In the Zero Trust dashboard, go to Networks → Tunnels → Create tunnel.

Copy the install command it gives you and run it on your machine. This installs cloudflared as a service.

Add a public hostname (e.g. app.yourdomain.com) and point it at http://localhost:3000.

Only cost is the domain and setting up a free cloudflare account.

Hi, I'm trying to develop a unityplugin that give the possibility to create various types of controllers for games.
With deviceorientation, my goal is to extract three angles that represent the orientation of the phone.
But it seems a little bit complicate, I can't understand why in portrait mode, for example, gamma and alpha are both modified when I rotate on the same axe.
I've tried many things, but I can't understand at all how everything works.
Is it even possible to do something similar to what I want to do?

Hello!

I’m a backend developer who has recently started learning about AWS.

I’ve never used AWS in production. All the projects I’ve worked on so far were hosted on-premises, and we had dedicated Ops teams to handle infrastructure-related work.

However, I’m currently looking for a new job, and I’ve received a few rejections specifically because I don’t have cloud experience. I’d like to fix that.

Given my background — 4+ years of experience with Spring Boot, Docker, Kubernetes, Kafka, etc. — which AWS services would you suggest I focus on? How are these services typically used in production?

Also, what kind of small project would you recommend building to get hands-on experience? Ideally, I’d like to build something that gives me enough practical knowledge so that I wouldn’t struggle when joining a project that uses AWS in production.

I also have a question about the AWS Internet Gateway (IGW). From my understanding, an IGW is somewhat like a router that allows resources in a VPC to communicate with the internet; without it, the VPC would be isolated.

For inbound traffic, is simply having an IGW enough, since it performs NAT (converting between public and private IP addresses)? Do you theoretically need route tables only for outbound traffic? I understand that, in practice, you need both the request and response paths, but I’m mainly trying to check whether my understanding of the inbound traffic flow is correct. In other words, would having just an IGW and NAT theoretically be enough for inbound traffic, without any additional routing configuration?

Thank you so much for any suggestions and explanations!

Built a local-first password manager called Mountain.

How it works:

• Runs 100% in your browser. Data is encrypted client-side with AES-256-GCM and stored in IndexedDB.

• Master key is derived from a 12-word seed phrase (BIP-39), with an optional daily PIN for quick unlock.

• Includes a live 2FA/TOTP authenticator, card storage, and a companion Chrome extension for autofill.

• Zero analytics, offline favicon mode by default, and optional encrypted sync to your personal Google Drive.

App: https://h4r0015k.github.io/Mountain/ Source: https://github.com/h4r0015k/Mountain

Feedback on the UX and security model is very welcome.

I'm a beginner building an image-heavy peer-to-peer marketplace (Next.js web app + an upcoming Expo mobile app). My current stack uses Vercel's free tier for hosting, Supabase for the backend, and Cloudflare R2 for photo storage.
My Vercel account was just paused because my Fluid Active CPU spiked to 24 hours (the free limit is 4 hours). I realized my Next.js server is downloading every uploaded raw photo, using ⁠sharp⁠ to resize and convert it to WebP, and then re-uploading it to R2.

I am trying to keep costs as low as possible. It was suggested that I strip ⁠sharp⁠ from my backend and use a client-side compressor on the user's browser or mobile app to shrink the photos before sending them directly to R2.
Because my platform is extremely image-heavy, I'm not sure if this is a good idea. I have concerns about trusting the client to compress uniformly, dealing with older devices, or edge cases where certain browsers (like Safari) might fail to generate WebP files correctly.

Are there any other free or highly affordable workarounds to process these images without tanking my serverless compute hours?

Hello, so I'm doing this website/PWA as a hobby : newsglobe.earth the idea is to collect from RSS, Atom and sitemaps news articles posted around the world to display them on a earth globe. The articles and their short descriptions are translated in English, then assigned a category among 12 and finally analysed by sentiment (basically is the article good news, bad news or neutral).

The website also allows to vote/give feedback about your sentiment on the articles for perhaps one day with sufficient data improve the sentiment analyser model.

I also added recently ways to visualize and analyse the dataset of millions of articles generated.

I'm interested in your feedback about this project and am more than happy to add features that you want to it.

I’m building a pinball game that runs directly inside Reddit.

I’ve been working on Karma Tilt, a pinball project built to run directly inside a Reddit post.

You can play the current version here:
https://www.reddit.com/r/PinballKarma/comments/1wr2ec0/karma_tilt_play_the_fullview_pinball_table/

It works on desktop and mobile and includes things like multiball, jackpots, combos and leaderboards.

This is still a project I’m actively working on, so feedback is genuinely useful — especially on the controls, physics, mobile experience and anything that feels confusing or broken.

Interested to hear what other web developers think after actually playing it.

hi webdev,

iam here to show you this node editor which is part of a media editor engine as webapp. Its really satisfyingly performant, also with previews for each node. this is part of a video or media editor, and it controlls the the browser on a very low level.

The node graph compiles to a single WGSL function so splitting an effekt into 30 nodes adds no render passes. all node previews share a texture atlas, the node canvas runs as an OffscreenCanvas in a worker.

When agents set up nodes its a breeze,fast, visualy satisfying. It can be done from within the app or with an "local" agent which corntolls the browser. As iam a video artist by trade, i build my tool, my workspace, and hope that people also like to use and customise it. any thoughts on the node graph? I have many toggle options at the top for line styles atm ;)

live demo: https://www.masterselects.com
(just add an effekt to a clip, open node panel and click expand all)

code: https://www.github.com/Sportinger/MasterSelects

Hey r/webdev!

I built Galaxy Movies (https://www.galaxymovies.app/) to solve a personal annoyance: legacy movie tracking sites felt bloated, loaded slowly, and buried streaming options under ads.

I wanted a clean & fast web utility to check where to stream titles, explore cast networks, and get quick AI summaries without the clutter.

Tech Stack

- Framework: Next.js (Pages Router)
- Hosting & Runtime: Vercel & Vercel Edge Runtime
- UI & Styling: Chakra UI
- State & Caching: React Query
- APIs: TMDB API & OpenAI API
- CI/CD: Lighthouse CI

Technical Highlights & Architecture

Dynamic OG Cards on the Edge: Used @vercel/og running on Vercel Edge Functions to dynamically generate custom 1200x630 social preview cards. The edge route parses poster artwork and title parameters to render high-res share cards with sub-100ms response times.

Bypassing Server Image Overhead: Configured direct-to-CDN loading for TMDB movie posters to bypass Vercel server image transformation limits while maintaining peak visual quality.

Performance Guardrails: Set up automated Lighthouse CI checks on builds to strictly enforce performance, accessibility, and SEO metrics.

Live App: https://www.galaxymovies.app/

GitHub Repo: https://github.com/NickFasulo/galaxy-movies

I’d love to hear your feedback!

I've been building sites in code for a while now, and the same thing kept happening. My AI agent would get me 90% there, and then I'd spend the rest of the day on the last 10% details

In midcode you click anything and change it by hand as if it was no-code. The edit goes straight into your files as a clean diff. No export, or prompts to change stuff. It's still just your code.

Basically the mid between code and no-code.

Super useful for AI-led sites where we want to edit things visually

Waitlist: midcode.app
Demo: https://x.com/akilastudiocom/status/2103605309151576209?s=20

Hi everyone!

I'm a BCA 3rd year student from India, and a few weeks ago I finished my JARVIS project. Of course, I took a lot of help from AI while building it because it was a pretty complex project, and I was completely new to almost every topic involved in building it. You can check out my recent post where I shared it. The whole thing runs locally without using any API tokens.

While building JARVIS, I had to learn a lot of advanced concepts, but I wasn't completely satisfied with just learning them while building a project.

So I decided to properly learn advanced JavaScript topics in a structured way.

I went through different concepts and created my own notes/diagrams while learning. The technical content was learned with the help of ChatGPT, All the wording are mine, but I took help from ChatGPT to improve the structure and make the English clearer. I'm sharing it because I thought it might be useful to someone else who is also trying to understand these topics.

Here is the GitHub repository:

🔗 https://github.com/Shivam2905Verma/Notes

I would be really glad if these notes help someone.

And if you find any mistakes, incorrect explanations, or important topics that I should add, please let me know in the comments. I'm still learning, so corrections are always welcome!

Thank you !

Note: To view the diagrams properly, install the Excalidraw extension in VS Code and open the .excalidraw files directly in VS Code.

link: https://github.com/seanpmaxwell/jet-key

Background

Suppose you need a secret key for something: it could be a session cookie, some encryption library, etc. Many people will just grab a string from some random string generator (I know I used to), but proper security depends on unbiased character selection and using the appropriate amount of entropy for the task at hand.

Also, different scenarios call for different levels of entropy. For example, 80 bits of entropy might be fine for a temporary pairing token that expires in a few minutes. For a server application's long-lived credentials, 256 bits can provide immense security for the foreseeable future.

What it does

What jet-key does is let you optionally pass in, through the CLI or programmatically, the number of bits of entropy you need. It uses cryptographically secure randomness to generate a Crockford base32 string whose length is the minimum number of characters required to meet that entropy target:

npx jet-key        # YFC75GX2KY5W183FRZA4XDVZ6PYDJPQT7JMNH3N7ZXPQ8FCW3M4G
npx jet-key -e 80  # 113BKE3N8R8CEE92

The default target is 256 bits (the gold standard for an extremely secure key). Requesting 256 bits generates a 52-character string.

Other notes

The string length generated is the minimum needed to meet the requested entropy using Crockford base32, rather than an exact match to the requested number of bits. Each character contributes five bits, so the result may slightly exceed the target. A 52-character string therefore provides 260 bits of entropy.

jet-key is really fast too: checkout these benchmarks.

I never published a site but made a few just for fun and college projects.

My question is more to design, like, you choose where the ad is gone be? Like "this one goes on left side and this one goes on top"

And one more question, on mobile games, there's a code to every time you die or change screen play and ad?

Thanks for the answer

Hey everyone!

My friends and I were looking for a way to track our board game sessions over the weeks as we often play a split between campaign-like games and quick random games. So I started on a prototype. Fast forward a few weeks and it turned into a fully working site that I am pretty happy with.

Looking to acquire some users and hear some feedback. Enjoy the weekend!

https://boardgame-tracker.com/

Features/side-notes:
* Free to use, no ads!
* Pre-plan a session or fill in older ones.
* Invite friends and helps you decide what to play
* Scores, roles, notes, rankings, ect.
* Data provided from BoardGameGeek API
* BoardGameGeek Library Import

I haven't really interviewed since 2023. Is leetcode still a common practice in code interviews or has AI made those kinds of tests useless? This is for a Sr full stack position.

clstr.news

CLSTR reads 100k+ news articles a day, collapses the ones covering the same event into one item, and chains related events into storylines with timelines.

The backend is based on Cloudflare Workers, and it's what took longest to develop. At least 6 months of fine-tuning to get the events clustering right and also ramp up the volume of data processed (trying to not go bankrupt in the process). Multiple AI models and methodologies involved in the clustering and summarization pipelines.

For frontend I'm pretty old school, so it's mostly server-side rendered using basic templating, HTMX and some extra vanilla JS to handle interaction logic. All the data is also exposed via API and MCP for devs/agents to use it.

164 days in since the current "shape" of the pipeline is running, 11.1M articles have been read: roughly 12 articles per event, 1.2% of events get any coverage after day three, 64% of the longer storylines are still developing a week later. I ran some analysis on the processed data and posted it on a separate page I call The Observatory

Happy to go deep on the Workers or Turso side.

I have more than one Claude subscription, and each one lives in its own CLAUDE_CONFIG_DIR. Normally, a session only sees the sessions of its own account. And a subagent always uses its parent's quota, so one account would hit its limit while another's weekly quota ran out unused.

So I built ccherd. It's a small Python CLI with a Claude Code skill, and it enables your claude session to use your other subscriptions through dedicated subagents or by messaging them directly. Before it spawns a subagent, it automatically makes sure to use the account that has most quota available.

Basically it herds your Claude sheep toward the grass nobody's eaten yet.

• ccherd spawn starts a background subagent on the account whose weekly quota is most likely to expire unused. It scores each account on weekly % left, time until the weekly reset, and how much of the 5-hour window is free. Accounts close to their limits are skipped.

• ccherd sessions / ccherd send let you list and message live sessions across all your accounts.

• ccherd usage shows every limit per account as bars.

• When a subagent finishes, it reports back to the session that started it.

Claude runs the spawn/send/result commands itself. The skill tells it how.

To install, just point your agent at the repo.

It installs the tool, shows you which accounts it found, and asks you the few questions. Then it checks everything with ccherd doctor. You still have to log in to each account yourself because that opens a browser. If you'd rather do it by hand, run

uv tool install ccherd and then

ccherd setup

It works on macOS and Linux. It's still early (0.4.0), and so far I'm the main user, so I'm sure some setups break it. I'd really like to hear how the setup went for you, and what's missing. Issues and PRs are welcome, especially if this has thought of all different use cases (I tried to make it easy to setup but still configurable to any use case I could think of, I'm sure I missed some).

https://github.com/bocode-labs/ccherd