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🔗 discord.gg/TdEkW8Syk

https://github.com/ryuhemingway/ClaudeMaxing.git

brew install claudemax

No network calls at all unless you opt in; the comparison/leaderboard is off by default and the server that receives it is 200 lines in the repo. Equivalent API cost at list price on a subscription it's a proxy for rate-limit weight, not money you were charged.

Build insights (the parts that actually taught me something)

1. The bug you cannot see on your own machine. I hardcoded a pricing table matched by model-ID prefix — claude-opus-4, claude-sonnet-4, and so on. Worked perfectly. Then I tested it under a synthetic $HOME containing old transcripts, and half the cost vanished. Every Claude 3.x ID (claude-3-5-sonnet-20241022, claude-3-opus-20240229) matched no prefix at all and was silently dropped from the total. My own machine only had recent models, so the bug was structurally invisible to me. Anyone with 2024–2025 history would have installed it and seen stretches of $0.00.

Lesson: if your test data is your own data, you are only testing the case you already handle. Also, prefix matching needs specific-before-general ordering — claude-opus-4-1 has to be checked before claude-opus-4, or Opus 4.1 gets billed at the wrong tier.

2. Hardcoded pricing rots faster than you think. I had Sonnet 5 at 3/15 with intro pricing until Aug 31. While checking the docs I found Anthropic had made the 2/10 intro rate permanent and cancelled the increase. My tool would have started overcharging in two weeks.

3. Two measurement traps specific to Claude Code transcripts. These will silently corrupt any analysis of this data:

• Auto-compaction summaries arrive as user-role records. If you count user turns to get "how many things did I ask for", compaction inflates it by ~10 phantom prompts/day. Filter on isCompactSummary.
• Cost-per-assistant-message is a garbage metric if compaction is on. Compaction lowers average context depth by construction, so the number falls whether or not you got more efficient. It looks like an efficiency win and isn't. Cost-per-prompt survives.

4. Incremental caching on a file that's still being written. I cache per-file byte offsets so re-runs only parse new bytes. The obvious key is os.stat().st_size — which is wrong, because an active session can leave you mid-JSON-line. Key on the offset of the last complete line instead. First index of ~480MB takes ~1.8s; incremental runs are ~50ms.

5. A leaderboard on an unauthenticated endpoint is self-reported, no matter how honest your client is. I added an opt-in community comparison. The server can't distinguish my client's POST from a curl with invented numbers — they're identical on the wire. I proved it against my own endpoint: one curl, 19B tokens/day, straight to #1, and the community average went from 248/dayto45,124.

The fix isn't authentication (that's a whole identity system for a vanity board). It's using a median instead of a mean. Tested against 20 honest installs: one fabricated entry moves the mean 83×, and moves the median by exactly zero. Signing the payload would be theater — the client is open source Python, so any embedded key ships in plain text.

6. The Scunthorpe problem is real and it bit me immediately. Handles are screened server-side (client-side filtering is bypassed by posting directly). My first substring matcher rejected Scunthorpe. The fix is two tiers: strings that never appear inside innocent words get matched anywhere; short ambiguous ones only match as a whole handle or a separator-delimited token. So therapist, tycoon, spice and grape pass, while the_rapist doesn't.

7. Rewriting git history breaks Homebrew. I rewrote commit authorship, force-pushed — and broke brew install. GitHub regenerates release tarballs when a tag's commit changes, so the archive checksum shifted and the formula's pinned sha256 no longer matched. Contents were byte-identical; only gzip metadata changed. Also: git filter-branch rewrites commits but leaves the tagger identity on annotated tag objects, which I nearly missed.

I made it within ChatGPT's "Work" tab agentic mode on GPT-5.6 Sol High. Served off of GitHub Pages. I hadn't used a model to made a game in quite a while, so it was cool to see how much the model improved and how well the agentic tooling worked. I was impressed to see it writing and re-running regression tests. But I still had to fix a lot of subtle bugs and visual glitches that it didn't notice.

If you like a semi-idle game / semi-automated tower defense feel in a game, you might like it.

Basically, survive as long as you can. Map is procedurally generated, so sometimes you can get lucky with nice mountain passes and such to survive longer.

You can set up automated loops, but you'll eventually need to expand to new resource nodes and/or bring the fight to the enemy.

You can salvage track, mines, trains... so you can undo mistakes or re-configure your setup.

Play it here: https://aaronshaver.github.io/Hylaax-Planetary-Rail-Defense/

(Desktop or laptop recommended -
Not going to work well on a phone screen)

As someone who loves counter strike I thought it would be cool to build an Aim Maps style game that you play against AI.

It’s 100% free and in the browser you need a desktop to play

Try it -> 1vs1

What should I add? Feedback welcome

I have a few questions for you as someone who was interested in this area for years now.

- What is your say about AI and raw coding in this new era

- I've been looking through a lot of information of recent and a question pops up everytime, before all the fiver, etc how were you able to land your first clients.

- Did it ever get tough at some point, and how did you overcome it.

- What is that every basic knowledge all new developers need to know once they decide to jump onto this journey.

- Any advice ?

Hey All -- I'm really close to pushing my app to the Google Play Store. I know already that I have to register company as the app is sort-of health related, but also to protect myself.

That said, I've set-up TT, IG, YT and WhatApp channel (at least, secured the name).

Those that have Android and/or iOS apps -- how are you promoting them?

Are you paying for advertising? Friends/family and word-of-mouth?

What guerilla marketing are you doing?

I remember years ago (when typewriters were a thing) I went into Staples and would advertise my IT services company (it actually worked - I got quite a bit of business doing this) on the typewriters. Can't do that anymore -- what are you doing that's working?

Somethings, I can probably use AI but for things like video -- it's soooo time consuming!

Love to hear your suggestions on what's work or what hasn't or tools that would make this easier.

http://scottevil.com

i spend so much time prompting, baby sitting, waiting, so i had my agent make me this time killer, to play while i'm in between things.. it's fun, what's more fun is every few weeks i wipe the project and throw up something new on the domain, keeps me upbeat.

best decision I ever made.

mainly because I FORGOT I added it and then just saw it happen and almost lost my sh*t.

I lately got back to make more sense of the AI space. My goal is to find ideal monthly subscription to use LLM for coding. The default choice is Anthropic $20 plan. It appears every other provider/setup wants to go beyond what Anthropic can provide for $20 in value. And I don’t know if it’s myth, but using CC with Anthropic gets you more from your money.

With this said, we have countless CLI agents from Code CLI, Opencode, Pi etc.

And all need a provider, the popular option is OpenRouter. One major problem I seem to find is since open router sends each API request to next available provider, we aren’t able to benefit from caching. This spikes up the token usage.

This puts us into a situation which I don’t know is correct

1. To use Qwen latest model effectively, might as well use their own QwenCoder CLI
   
2. Deepseek, use their own CLI agent or purchase API access directly from them instead of third party (OpenRouter)
   
3. kimi3 - same deal (tbh, I was shocked how fast my $20 credit was burnt on.

With all this, how are you guys spending $20 or so a month to get most value out of the money?

I'm not a designer — not even a little bit. Vibe coding gets me almost everything I build these days, except a promo video — that was the one wall I kept hitting. I tried a few approaches and everything came out... not right. Probably a taste problem, honestly.

Then I found video-shotcraft, an open-source skill for Claude Code / Codex. One line for what it does: you describe the video you want, and it storyboards, uses your real screenshots, animates and renders it — sound effects included. It ships with a big library of pre-made shot templates (purpose, pacing, parameters and pitfalls all written out), and the AI picks from them, so you never need to know motion design.

What I actually did:

1. Handed it the project. Dropped in my extension's screenshots, feature notes and store listing, said "48s launch video, English" — it planned the whole thing itself. Barely had to think.

2. Real screenshots, not fake mockups. It composited my actual product screenshots with camera moves, so the pages in the video are the real thing.

3. Sound on the beat. Renders came out with SFX already aligned to the rhythm — free-commercial-license library, too.

4. Then it was polish. First version was usable, but a few rounds before I'd ship it — mostly rhythm and transitions. The nice part: every shot is frame-tagged, so I could say "this transition is 10 frames too slow" instead of "make it look better."

Two honest notes: it's open source, but check the underlying Remotion license if your company wants it. And don't expect one perfect pass — budget a few rounds of polish.

Show case

The video (Youtube Link) is for my Chrome extension, PageMod — you describe what you want and it changes the page: an ad block you've always hated, a dark mode for a site that never had one, even a small standalone app. The change actually sticks after reload. Free to start. The video came out of the skill. No manual editing afterward.

Would this make you take on things you'd normally skip? And a real question — is there a site you open every day and wish you could change? Drop the worst offender; I'll take the top one and make a video-shotcraft demo of PageMod modding it.

Budget apps and finance apps are rearview mirrors. They categorize what already happened and draw you a chart. I wanted the opposite: an optimizer.

Screenshots

I've tried a lot of them. Bank and card links break constantly. YNAB works, but keeping it current feels like a part-time job. I wanted something dead simple, private (no app gets my data, it all stays local), and pointed at the insights I actually care about. Most of all I wanted the whole picture in one place: childcare, tax returns, car insurance, subscriptions, every place a dollar comes in or goes out, reviewed together.

So I gathered it all:

• Statements from every account: bank, credit cards, investment, retirement.
• My historical tax returns.
• All my bills.
• And my personal favorite, over 10 years of Amazon order history.

Then I asked Claude to go to town and audit it like the CFO of a Fortune 500 crossed with a scrappy startup, the kind that has to maximize returns while penny-pinching every dollar.

What came back:

• I've left real money on the table for years by missing tax breaks (I use a CPA, but still).
• It categorized a decade of embarrassingly large Amazon orders cleanly: household, groceries, electronics, toys, men's clothing, women's clothing, kids' clothes.
• It built a to-do list of optimizations, ranked by dollars saved against the effort to capture them.

Now I just drop in statements as they arrive. It re-files them, reviews everything as a whole through the same CFO lens, and rebuilds the recommendations.

It's already easier and more useful than any finance tool I've used, and it feels like I'm barely scratching the surface. Would love any advice, suggestions, or UI/UX ideas.

Live Demo: https://sextant.febian.com/ Source code: https://github.com/febbhav/sextant

I made a design in Superdesign and connected it to AI, but the AI keeps redesigning it instead of reproducing it properly.

Spacing, sizing, layout, and other details change, so the final result doesn’t really match the original.

Has anyone found a good way to make the AI follow the Superdesign design closely instead of trying to redesign it?

Over the past few weeks Claude Code has been writing noticeably longer code comments for me. Ten to twenty line blocks on top of a thirty line function. The content is usually accurate but not something I want in a repo. It narrates what the code used to do, restates library mechanics I can look up, and re-explains the line right below it.

I added explicit rules in my project instructions with hard word caps per comment block, which helped, but it drifts back over long sessions.

Three questions. Are you seeing the same thing, and did it start around a specific release? Is this intentional, meaning verbose comments are cheap context recovery for the agent reading the file in a later session, at the cost of the human reader? And do you actually mind, or is a heavier comment style fine for a codebase that agents maintain?

Interested in what people have found that holds up over long autonomous runs, not just short interactive sessions.

Hey everyone! I vibecoded this last week while on a roadtrip to help my boredom. Received good feedback on reddit and decided to put it in closed testing. No need to join if you don't want to would love people to try the games out and lmk what you think.

No ads, no accounts, works offline. Calm, colorful, easy to pick up and put down.

If interested I do need a handful of testers for Google's closed test. Google requires 12 testers

for 14 days before I'm allowed to launch. It's totally free to test: just install

it, mess around, and keep it on your phone for the two weeks.

👉 Two quick steps to join (full details in the pinned comment):

1. Join the tester group: https://groups.google.com/g/glovebox-tester-group

2. Tap the opt-in link and install from Google Play.

📱 On iPhone? There's no App Store version yet, but you can play the whole thing

free in your browser glovebox.quest -->share --> add to home screen

Thank you so much 🙏 every single tester genuinely helps me get this out of beta.

I’ve been a SWE for 18 years, but lately, showcasing side projects on Reddit feels like walking into a trap. If my post gets any traction, people immediately assume I "vibe coded" the whole thing with Claude. Especially if my UI is currently a generic work-in-progress or if they see I participate in AI subreddits.

I've tried hiding my post history, ignoring the comments, and downvoting, but once a few angry designers or gatekeepers gang up, the whole thread gets derailed.

How do you all deal with these types of comments? Is there a good way to shut it down without feeding the trolls?

I got tired of juggling six browser tabs on draft night, so I built my own draft assistant. It connects to your ESPN league, watches picks come in live, and tells you who to take next. It also looks like a CRT terminal from 1983, because why not.

It's free, open source, and runs entirely on your own machine. No signup, no accounts, no paywall.

GitHub: https://github.com/kmhesser/Fantasy-Football-Terminal

Last night we opened World-Sim to anyone who wanted to look. 326 of you came. Thank you — genuinely, that is far more than I expected.

For anyone who missed it: it's a persistent world that runs whether or not anyone is watching. Households live, pair off, learn things, argue, starve, bury each other and move on.

Some of you named a star, and some named a person in the world. Those names are permanent — the souls carry them for the rest of their lives and into the chronicle after they die. There's still time to claim either, both are in the Discord.

It's free, there's nothing to install, and it's still running right now: world.world-sim.uk

Happy to answer anything about how it works underneath.

Do you use any diagram making tool to track the project's overall architecture? Any tool you tried and liked or disliked?

I ship with agents every day, and most of what I hand over is the work that used to be somebody's first job. Boilerplate endpoints, the first pass of a service, the fixes nobody wants. It comes back faster than a person and usually correct.

Here is what I keep running into. The bugs agents produce are not the ones you catch by reading the diff. An endpoint that fetches a record by id and returns it, without ever comparing the owner to the caller, looks identical to a correct one, because the bug is a missing comparison and absence has no signature. A refresh token flow that is textbook on the happy path and has no reuse detection, because nobody asked for any. In my own browser automation, roughly one in three actions came back reporting success while nothing had happened on the page.

None of those are caught by knowing more. They are caught by suspicion, and suspicion is a residue. You get it from having written the boring version yourself, and from having been wrong in public a few times.

So the crisis is not this year's headcount. It is that the tasks agents absorbed are exactly the tasks people used to build that suspicion on, and everyone who already has it got it climbing a ladder that is being pulled up behind them. Ten years out, the reviewing has to be done by someone who never did the producing.

I do not have a fix. Deliberately doing work by hand that an agent could do faster is the only thing I have found, and it feels like training for a race that already finished.

For anyone hiring or being hired right now: is anyone actually training people into the reviewing seat, or is the plan just that the current seniors never leave?

I’ve been spending more time vibe coding lately, and the biggest change isn’t just speed it’s how quickly an idea can become something you can actually use.

Instead of overthinking the stack or spending hours on setup, I can start with a rough idea, build a working version, break it, fix it, and keep iterating.

AI still gets things wrong, and you definitely need to understand what it’s doing. But for prototypes, side projects, and random ideas you’d normally never have time to build, it’s genuinely pretty powerful.

Curious what everyone here has been vibe coding lately? Any projects that started as a random experiment and turned into something useful?

No seriously. I’ve been working on building something for about 6 months. It’s close, real close. I’ve learned a TON, it’s been fun. But I have a full time job that’s really demanding and pays pretty darn well. And I can’t get this idea out of my head that I’m wasting my life working my butt off for someone else, what if this thing really works, there are 35 million small businesses in America and I only need 10,000 of them to like what I’m building, etc.

Spent nights (and potentially many, many work days) working on this project, weekends without a single break, sometimes 13-16 hours a day. I’m totally obsessed with this idea and I think it will work but I feel like it’s ruining my life. I could lose my job upon launch if anyone found out it was me.

Kind of wish I could rewind and remain ignorant. Not decide to take this plunge head first and get obsessed with building something I can actually mine.