The best engineers are burning out... and it’s not because of the workload.

I recently discovered a feature most of you know now i feel like tony stark basically i just chat via voice with chatgpt using the github intergration and it mods my repo. Edit: removed ai slop

I count 13 VS Code + Codex instances open across 7 virtual desktops right now, working on different projects and features. Last reboot was 3 months ago because I'm afraid of losing context.

How do you handle restarts?

Should I just save all VS Code workspaces to files and reload them later? Is there a better way to handle and restore all sessions?

I'm gonna say it, and it's gonna sound like an Anti-ai rant, but it's getting on my nerves.

>Someone spends months or years making a thing

>Finally posts "hey guys check out this cool open source project I put together to make X hobby cheaper"

Back in the day, some people would fork it sure, but you'd find some people who wanted to join in on this, combine forces and make a super cool thing.

Now people who haven't never built stuff before seem to think "lmao I can do that myself in one prompt"

And so they start a new project, didn't understand how much work was ACTUALLY put into the original, and then they just.... Leave it to die after a few days

Or even worse (the racing community) they poorly clone free software, and then try charging $50-150/month for a damn spreadsheet in attempts to make back what they spent on AI tokens

Going viral for 5 minutes on reddit isn't going to make you rich, build for the sake of building shit, build a community and combine forces with people damnit

I have no problem with multiple products existing, but "wow guys I made X but open source" when 45 other open source versions of said thing exist, is getting really stupid

I know I'm gonna get roasted for this and "I'll build whatever I want" and sure, hell yea even, take down the big studios

but can you do me a favor, and fuckin follow through? That's all that I ask for, really.

The ai coding future made me so fuckin excited after doing this 20+ years, but everyone just wants to get rich on a SAAS app, and it's depressing

When does this become something you hate doing. Real devs, when do you guys start hating what you do? Non dev here, heading into year 3 of vibecoding. I made a trade of FB marketplace for a 3080 ti for my kids computer. We test it by throwing on Attack on Titan 2. I really enjoy that game. Or at least I thought I did. The whole time we are playing it, I am thinking what to vibecode. Bedtime comes, and I get back to my computer to try to note down all that I was daydreaming about doing when we were cutting down titans. I start vibing, and I'm in the dark; I'm smiling, I'm pacing, I'm prompting. I'm happy af, thinking about how this is the coolest shhh that I've ever seen. And then I'm like I said that yesterday. Wait this shhhh has been fun the entire 3 years. I've downloaded a lot of github repos this summer. 2 years ago, the extent of my opinion of github was 'So its a nerdy dropbox? why would I save an index.ts file in a cloud when I could save it on my computer?' But yeah...recently I've vibed mcp tools for my vibed site. its probably trash, but it feels so good to see and to use. ...I saw something about headless cms websites. Idk man, maybe because I am playing around building my own idea rather than working for someone to build their specs... it seems like the wonderment and good feelings that comes with building new stuff has to come to end at some point? For those that have been doing this for a while, when does your passion leave?

Hey guys, I'm making a rail shooter (like Star Fox) and documenting its development for those working on a game who want to learn more about the workflow.

In this video, I'll tell you about the development of the first boss, its design, its three phases, attacks, environment, etc.

Devlog Boss Fight: youtube.com/watch?v=NsZRfjOK_-Y&t

If you find these types of videos useful or entertaining, it would help me a lot if you subscribed, left a comment/like, or simply watched it. Thanks guys!

BTW this is made in Threejs, with Claude (Opus 5.5 in this case), the 3D character models are made in Blender.

I started it as a personal project to remove Acrobat from my PC and it exceeded my expectations.
I used Claude Opus 5.5 for the entire workflow and put it up on Microsoft Store as well.

This is not a marketing post but an experiment so that I can apply this skill into making something original in the future.

But feel free to try it out yourself for personal and professional work. I would appreciate all kinds of honest feedback :D

A few points:

- Focused on privacy: The app does not connect to any network (Except MS store for auto-updates) Else you can use it via the browser if downloading is not your thing
- Most of the available PDF editor tools are compiled in it
- A study mode with side-by-side notes which saves inside the app's cache. (Does not overide the original PDF unless you export it with the notes)

Free to try:

Browser: https://krithickdesign.github.io/Nib-E Open Nib-E, nothing to install)

Windows: https://apps.microsoft.com/detail/9PPKF7HC76Q3

Mac/Linux installers are on the same page

Edit: I had forgotten to put the links up and copy-pasted it from another draft while I was out. It should work now

I am getting things done faster but now I am bouncing all over the place figuring out more issues.. discovering new bugs.. Being tasked with doing everything from top to bottom related to the web app...

I thought AI would just get my current work done quicker and give me some time to relax .. but instead a new standard has been established, and I am working even more as I have many other things I am responsible for.

One iss I noticed is sometimes I am in such a rush I start fixing bugs with AI without understanding the big picture of what we are doing. So I had a nice long conversation with someone about high level what we are doing and why..

It is like you can't use AI for everything. At some point the human brain needs to grasp certain concepts and clearly understand them

I shared my FrogPop demo here in August. It's a frog game inspired by Bubble Trouble, built in Unity with help from Claude Code and Codex.

A big criticism was the art consistency. Some enemies had different pixel sizes, some looked out of place, and making everything simpler didn't fix it. The crab actually looked worse when we stripped too much detail out of it.

I've been going through the art one piece at a time. Now I ask to see a new design next to the existing characters at game size, then check the animations before putting it in the game. Bigger enemies need enough detail to work at their size. They don't all need the same number of pixels as the frog.

Claude Code helped with the core game systems. Codex has been helping with fixes and the art rework, using AI-assisted art tools. There has been a lot of rejecting versions and asking for specific corrections. I kept the original relics and zones because I liked them better than the replacements.

This clip is where the game is now. The older free demo is still here: https://blion247.itch.io/frogpop-demo

It only covers the first ten waves and doesn't have all the changes in the video.

I have been working on multiple projects at a time and context switching and continuous monitoring is a big issue. How do you solve it?

I have tried this:

1. Use a determinitic code checker like sonarqube for code quality.

2. Use claude or whatever AI to verify the results and give me prirorty.

3. Use claude to generate skill files based on the results of the analysis and use it.

This has been good so far but i feel like still something is missing. What are your views?

My aim is to capture the spirit of a great D&D session: adventurers heading into dangerous territory, committing to questionable plans, and dealing with NPCs who have their own motivations and aren't necessarily on your side.

• Gather your adventurers and head into the frontier
• Negotiate with hobgoblins, haggle with merchants, and see how your party gets along
• Get caught in rivalries, make deals, pick sides, or start a fight
• Improvise when your plans go sideways and see how the world reacts

I've been building this for 3 years, and I'm having way too much fun with the latest patch.

Try it out: https://www.llmsaga.com/
Follow development: https://discord.gg/Cr3pQx6SXE

I'm currently "building" an OSINT aggregation platform using vibe coding and running into some snags. The goal is to pull multiple sources into one interface instead of juggling separate tools. It is not scraping properly to pull reliable data.

Has anyone else tried this and had success? If anyone is willing to share a GitHub repo of their attempt, even a messy one, I'd be grateful. Happy to share what I've learned in return once I get past the current hurdles.

I’m building a thing where a team of agents puts together a short interactive lesson on some topic. Code part was fine. What killed me was facts.

Some real ones I caught:

• phantom traffic jams have “no cause”. no, they grow from tiny fluctuations, there’s just no crash or light
• Cambrian = first animals. no, it’s when animals boomed
• catenary arch is pure compression. only under its own weight

Everything sounded right and looked polished. That’s the scary part, I almost shipped a few.

Now I have a list of these traps and a check step before anything goes out, but I still don’t fully trust it.

Anyone else generating educational content with agents? How do you catch the confident wrong stuff

I do a lot of client work through my agency and pretty much all of it runs through Claude Code and Codex now. The one thing that was still completely manual was billing. Every month I'd go back through chats, commits and notes trying to piece together what I actually did for each client just so I could invoice it.

The agent already knows what it worked on so I figured it should just handle the invoicing too.

Stripe has been good and has a great MCP but there was a missing layer with being able to track the work itself. Time, expenses, what my agents did for each client, estimates and deposits.

So I built Billr. It's a full invoicing app (clients, invoices, estimates, time, expenses, payments, reports) that also runs as an MCP server with 53 tools, so Claude or Codex can do basically everything I can do in the dashboard.

It's fully open source and you host it yourself: github.com/ethanplusai/billr

The coolest part is agent task billing. The agent starts a task for a client, heartbeats while it works so its time gets tracked, reports what the model usage actually cost, and then I approve it and it turns into an invoice. So you can actually bill clients for AI work instead of guessing.

What else it can do:

- Invoices, estimates and deposits/milestone billing

- Time and expenses logged as the agent works, then turned into an invoice in one step

- Payments straight into your own Stripe (nothing added on top of Stripe's fee)

- Reports on who owes you money and how late they are

- Multiple businesses/brands in one install

Your agent only gets the permissions you give it. Sending, payments and deleting are all off unless you turn them on, and anything it creates gets marked "via agent" so you can always see what it did vs what you did.

I'm using it for my own clients now and still improving it daily, so please feel free to submit any issues or PRs if you try it out. Any and all feedback is greatly appreciated!

More and more people skip Google and ask ChatGPT, Perplexity, Claude or Gemini "what's the best tool for X?". AI gives 3 to 5 names. If it can't read your site, it fills those spots with your competitors.

I spent the last months digging into why AI names some products and not others. Most of the reasons are boring, fixable things on your own website. Here's the checklist, with a quick way to test each one.

Part 1: Can AI read you?

1. Let AI crawlers in. Open yoursite.com/robots.txt. Make sure you don't block GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot or ClaudeBot. Then check your CDN: Cloudflare has a setting that blocks AI bots, and some plans turn it on by default.

2. Serve real HTML. Test: open your homepage with JavaScript turned off (or curl yoursite.com). If the page is empty or says "loading", most AI crawlers see the same thing. They usually don't run JavaScript. Use server-side rendering or static pages for anything important.

3. Be in Bing, not just Google. Some AI search tools lean on Bing's index. Add your site to Bing Webmaster Tools and submit your sitemap. Takes 5 minutes.

Part 2: Does AI understand you?

4. Say what you are in one line. "X is a [category] for [who]." On your homepage, in plain text, near the top. Clever taglines like "Work, reimagined" tell AI nothing.

5. Show pricing as text. Not an image, not "contact sales" only. "Cheap" and "free tier" questions are common, and AI can't answer them about you if it can't read your price.

6. Add structured data. Organization, SoftwareApplication (or Product) and FAQ schema. Test with Google's Rich Results Test.

7. Answer the questions your customers ask AI. Write the pages people search for: "X vs Y", "best tools for [job]", "alternatives to [big competitor]". Be honest in them; AI quotes pages that read like real comparisons, not ads.

Part 3: Does AI trust you?

8. Keep your facts the same everywhere. Your site, G2, Capterra, LinkedIn, Crunchbase, Product Hunt. Same name, same category, same price. If they disagree, AI gets unsure and picks someone else.

9. Get on the lists AI cites. Ask Perplexity a question in your category and look at the sources. They're mostly "Top 10 tools for…" articles. Those are your targets: email the authors and ask to be added. Short, polite, with one real reason you fit.

10. Ask AI about yourself every week. Write down 10 to 20 questions your customers would ask. Ask them in ChatGPT, Perplexity, Claude and Gemini every week. Track who gets named. It changes more often than you'd think.

Quick 1-minute test: ask ChatGPT "What does yoursite.com do?". If the answer is vague or wrong, start with points 1, 2 and 4.

Which of these have you already done? Curious what's worked for others, especially on getting into those "best tools" lists.

DugUp

Find your files by what is in them: the words inside, the words in a photo or a scan, what a passage means, what a picture looks like. Press one key anywhere, type a few letters, and the file opens virtually instantly. Everything runs on your own machine; nothing you have leaves it.

DugUp was inspired by the macOS app DigUp but is a separate design, written from scratch in Python; it shares no code with it. It runs on Windows 11; Linux is supported and tested on Ubuntu (the full test suite runs there on every push, under Python 3.10, 3.12 and 3.13; the window, the tray and the search key have had real daily use only on Windows so far).

Status: alpha. The searches, the index and the file-changing paths (trash, rename, undo, near-duplicate cleanup) have been reviewed independently, probed, and tested on Windows and Linux; the guarantees they keep are stated below under What it touches on your disk. What makes it an alpha: one person has used the window for real; a whole search still runs on the window's thread (the model work does not), so a very large index can make it slow way down; the near-duplicate scan has no stated ceiling yet for collections past about 100,000 pictures; and the index is not encrypted. Bug reports with the dugup doctor output are welcome.

What it does Words. Indexes the folders you choose and finds files by the words in them and in their names: plain text and HTML, PDF text layers, docx/xlsx/pptx and odt/ods/odp. Stemmed, with phrases, closeness and exact-form search, and filters by folder, kind, date and size. Words in pictures and scans. Reads photos, screenshots and scanned pages (OCR), so a receipt can be found by the shop's name on it. Document pages first, photos later, tiny graphics last. Meaning. A question in your own words finds passages that say the same thing differently, and "Words and meaning" blends the two. Pictures by likeness. Pictures of something you name, pictures like another one, and sets of near-duplicates with a keeper chosen and the extras one-press from the trash. Names for pictures. Photos called IMG_4471.jpg can be renamed from what they show, by a pattern you set, always previewed first, always undoable. A key anywhere. Dugup tray keeps it running; Win+Shift+F brings up a small box over whatever you are doing. Honest about what it knows. Every file ends in a stated state; a file that cannot be read says why; a file gone since the last scan stays findable, flagged, for 30 days.

https://github.com/benwade/DugUp

Not necessarily like a 1 round and done game ....

Imagine making some shit like Marvel Rivals, Overwatch, or Street Fighter ... all with Claude

fully fleshed (and rigged) matchmaking with ranked .... skin store ..... indepth settings .... etc

Would it currently be possible? Where can we see some of the best game's made with Claude ?

Yes, really. OBVIOUSLY I know the implications of AI in the space. Most of us do. But I see potential. I'm tired of vibecoding cool shit and having no understanding of how anything works. And it's problematic. I refuse to believe that I'll never get a job as a dev. I can't live my life not pursuing something I've grown to love because I'm scared about the implications. I learn the best in an educational, structured setting. Certifications are too easy to earn. I believe there WILL be a point where there will be a need for people who can read and understand the products they ship. I will always support AI in coding.

Let me know if anyone's ever had similar thoughts

Edit: wanted to mention I have a bachelors degree in graphic design already, and work as a graphic designer. I’m really hopeful that front end design skills will fit right in!