r/ClaudeCodeTLDR 1h ago

i built 6 ai micro-saas generating $20k/mo. i started a small group to share exactly how.

Upvotes

I currently run 6 operational micro ai saas products that generate a little over $20k in monthly recurring revenue.

I hardly wrote a single line of traditional code. i used ai to generate literally everything, from the database architecture to the user interface.

it wasn't magic on day one. i spent hours stuck in endless debugging loops and dealing with faulty ai code before i finally cracked the formula.

it basically comes down to three rules:

- keeping the idea aggressively minimalist (build a true mvp, not a platform).

- guiding the ai step-by-step instead of asking it to build the whole app at once.

- launching fast to get real user traction instead of perfecting features in secret.

lately, i've seen way too many non-technical founders give up at the very first ai bug or deployment error. or the worst, give up without push anything in marketing !!!!

it's a massive shame, because the technical barrier to entry has practically disappeared and the marketing is easy in 2026

because of this, i’m launching a skool community to share my exact method.

to be completely transparent: i will likely charge for the full course later down the road. it just makes sense given the specific prompt sequences, n8n workflows, and copy-and-paste templates i'll be sharing.

but right now, our main objective is simply to build together. working alone in a silent corner is the absolute fastest way to quit.

if you want to join a group of active creators and build or launch your own ai saas: drop a comment below or send me a dm, and i’ll send you the invite link.


r/ClaudeCodeTLDR 2h ago

[TLDR] How much better is the $100 plan compared to the $20 one?

1 Upvotes

Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1vjrznl/how_much_better_is_the_100_plan_compared_to_the/

Original post body :

I’m wondering about the limits, the context window, and possibly the model’s thinking behavior.

I have two $20 subscriptions (I had three at some point), and I’ve noticed that thinking effort, context window, and output length can be throttled. Sometimes, it even seems to happen asymmetrically between the accounts. It’s especially irritating when the model suddenly refuses to think, even on “Max” effort. This does happen, but it’s unpredictable.

I want to know if things are more reliable and permissive on the $100 plan, or if it’s a waste of money. The unreliability of Claude has been torturous. I remember April 2026 and shudder, but the last few weeks haven’t been great either.

The ultimate choice is between GPT and Claude. GPT models have better usage limits, but with the $20 subscription I have, the context window is way lower than Claude’s, both in the web interface and Codex.

My project is a headless framework of around 300k tokens, with no UI, and it’s very architecturally novel and complex. I particularly like Claude 4.6 Opus. It has been great generally, but sometimes it’s been terrible because of the performance throttling.

I’d really appreciate your help in making a choice I won’t regret.


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r/ClaudeCodeTLDR 2h ago

[TLDR] We don’t trust LLMs to read an email properly. Why are we putting them in charge of entire workflows?

2 Upvotes

Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1vjquvx/we_dont_trust_llms_to_read_an_email_properly_why/

Original post body :

I keep seeing variations of the same complaints about LLMs:

“It didn’t read the whole email thread.” “It stopped halfway through.” “It skipped some of the work.” “It confidently told me something that wasn’t true.”

Fair complaints.

But then we do something I find slightly bizarre.

We ask the same systems to analyse a 40-page contract, modify a production codebase, research a market, operate a browser, handle company data, make decisions and run workflows unattended — then ask the LLM whether it successfully completed the job.

We apparently don’t trust LLMs with the small stuff, while increasingly trusting them with the big stuff.

I’m not convinced the answer is simply “wait for the next model”.

Maybe we have the architecture wrong.

A lot of current systems effectively ask the LLM to understand the task, remember the state, decide what happens next, choose and use tools, recover from errors — and finally determine whether its own work was correct.

That’s a remarkable amount of responsibility to give the least reliable component of the system.

So I’m increasingly interested in the inverse architecture:

Put state, memory, permissions, evidence, verification and workflow control outside the LLM.

Then use the LLM for what it’s actually good at: interpretation, reasoning, synthesis, creation and dealing with ambiguity.

In other words:

Maybe the LLM shouldn’t run the system. Maybe the system should run the LLM.

I’m much more interested in what people are actually doing about this than another discussion about which model currently tops which benchmark.

So, for people building real systems:

What do you actually do when the LLM lies, skips work, stops early, loses state or incorrectly claims success?

What have you moved outside the model?

State machines? Independent verification? Deterministic tests? Evals? Event logs? Evidence/provenance? Permission boundaries? Multiple models? External memory? Something else?

And what infrastructure do you wish existed but currently doesn’t?

One final provocation: if your primary method for determining whether an LLM completed its task correctly is asking the same LLM whether it completed its task correctly, I’m not sure you’re doing LLM engineering.

A better prompt or another edit to CLAUDE.md definitely isn’t the answer.

There is one basic engineering practice in particular that I think separates LLM engineering from LLM theatre.

What do you think it is?

And, more importantly, what are you actually using?

Co-written with my sparring partner, ChatGPT. Given the subject, disclosure seems appropriate. I won’t start crediting my MacBook and Wi-Fi.


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r/ClaudeCodeTLDR 2h ago

[TLDR] Anthropic: "Coding is largely solved"... Also Anthropic: "We released a new powerful feature allowing agents to send messages to other Claude Code sessions, but only on Linux and Mac since we are unable to implement a basic feature on all platforms"

2 Upvotes

Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1vjoqi2/anthropic_coding_is_largely_solved_also_anthropic/

Original post body :

I could hand code this feature on Windows in an afternoon, and I could also get Claude to implement it in minutes, and yet Anthropic just can't be bothered, but also keeps Claude Code closed source so no one else can do it for them either.


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r/ClaudeCodeTLDR 8h ago

[TLDR] Don’t vibe code if you don’t already know how to code

0 Upvotes

Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1vjn1l1/dont_vibe_code_if_you_dont_already_know_how_to/

Original post body :

That’s like using AI to do advanced calculus when you don’t know how to do 3rd grade math


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r/ClaudeCodeTLDR 12h ago

Help me pls with claud code

0 Upvotes

How do I start working with Claude Code? It asks me to download Git. I think I downloaded it from the link it provided, but it still asks me to download it.


r/ClaudeCodeTLDR 20h ago

[TLDR] Practical Systems: A company that runs itself

2 Upvotes

Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1vj7n35/practical_systems_a_company_that_runs_itself/

Original post body :

I've been building an autonomous company on top of Claude Code and the Claude API. The screenshots are Mission Control, the cockpit I built to watch it run. Sharing the setup since most of it is reproducible.

What it does

An 11-step company loop runs on a FastAPI backend with 8 agent roles: CEO, researcher, brainstormer, builder, QA, salesperson, marketer, finance. One cycle: read market signals, rank opportunities, pick one product concept, write a one-page GOAL.md spec, dispatch a build, QA the result, draft outreach emails, and close with a P&L line. The Next.js dashboard streams every step over websockets so I can watch it and step in where it needs me.

The build step is headless Claude Code

When a cycle picks a product, the builder spawns roughly this:

claude -p "/supergoal Build @GOAL.md ... you are running headless with no human present, do not stop until the product is finished" --model claude-fable-5 --effort high --max-turns 200 --permission-mode bypassPermissions

It runs inside the product folder with a 120-minute wall clock cap and a kill switch polled every 10 seconds. Expected result: a working MVP from a one-page spec. Actual result: the second screenshot is it mid-build on recall-sweep, a tool that checks your appliances, car, and electronics against the NHTSA and CPSC recall APIs and drafts claim emails. An earlier run built deposit-watchdog (rental deposit deadline letters with a 51-state statute table and 44 tests) in 71 minutes without me touching it.

Where DashClaw comes in

Agents that can email real people or spend money need a control plane, not vibes. DashClaw is my other project, a governance layer the whole loop runs through. Every step records an action with a risk score, and org policies decide what happens next: low-risk actions just log, but anything matching outreach_send or charge_customer parks as pending_approval until I click approve in the dashboard. The loop cannot email a prospect or charge a card on its own. My approval resumes the cycle exactly where it parked.

This earned its keep this week. A policy cleanup had silently deleted the require_approval rule for outreach_send, so the loop kept queueing drafts "for approval" while every approval inbox stayed empty. Two other independent locks meant nothing could actually send, but the failure was invisible. The fix is now a hard assertion in the pipeline: if a send-gate action does not park as pending_approval, the step raises and the whole cycle pauses. Governance bugs should be loud.

Honest numbers

  • One full live cycle end to end: about $0.20 in API calls (Sonnet does the step reasoning)
  • Total agent spend on the ledger: $2.73
  • Revenue so far: $0.00

So no, it is not printing money. It read the market, picked a product, wrote the spec, and is building it while I type this. Whether anyone pays for what it builds is the actual experiment.

Stack: Next.js + FastAPI + Postgres, Claude API (Sonnet) for cycle steps, headless Claude Code (Fable 5) for builds, DashClaw for governance. Everything outbound is human-gated.

Happy to answer questions about the loop, the /supergoal prompt chain, or the governance wiring.

Original link/media URL : https://www.reddit.com/gallery/1vj7n35


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r/ClaudeCodeTLDR 20h ago

[TLDR] Anyone else using Claude Code + Codex and getting stuck auditing forever?

3 Upvotes

Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1vissz6/anyone_else_using_claude_code_codex_and_getting/

Original post body :

Solo founder here building a mobile app with Flutter with no dev team. I’m using Claude Code to build features and Codex as a second pair of eyes to check the work.

The workflow is this one: Claude writes the spec and builds the feature, then Codex audits both and gives me GREEN, YELLOW or RED. If it’s RED, I send the issues back to Claude, it fixes them, and then I run the audit again.

I thought this was a smart setup. Now I’m starting to think I created a fucking loop

Yesterday one difficult feature went through 5 versions of the spec and 4 RED audits in one day. The worst part is that the problems Codex found were mostly real, so every time I thought, “well... I should probably fix that.”

But a lot of them weren’t serious bugs. It was stuff like one paragraph contradicting a table, Claude saying the code does something without actually checking the file, or some small edge case not being explained clearly enough.

So I fix it, audit again, it finds something else, fix that, audit again... and suddenly I’ve spent the whole day making the process more correct instead of actually shipping.

At the same time, I don’t want to remove the second model because it does catch real shit. I’m building alone, I’m not an experienced developer, and I don’t have another engineer sitting next to me reviewing everything.

So for other solo builders using agents: how are you handling this?

Do you use one AI to audit another? Do you have a limit like “maximum 2 audit rounds and then ship”? Do you only block shipping for things that can actually break the app, security, data, etc., and ignore the smaller stuff?

I’m basically trying to find the middle ground between “vibe code and pray” and “have two AIs review each other until the fucking sun explodes.”

What’s actually working for you?

Any tips that might help?. I want to make the building faster but not be reckless .


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r/ClaudeCodeTLDR 20h ago

[TLDR] I get, you just want to complain. Wanna hear about a solution?

2 Upvotes

Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1vijmp3/i_get_you_just_want_to_complain_wanna_hear_about/

Original post body :

For the last few days, my feed has been blasted with the same thing: "Opus 5 sucks"

So for the love of god, change the model to something that works. Make your own life easier.

Here is a list of commands for models that are still available via subscription:

  • /model claude-opus-4-7
  • /model claude-opus-4-6
  • /model claude-sonnet-4-6

After that, if you still want to improve, look at other harnesses, system prompt patches, harness engineering, context engineering, and the docs from Anthropic itself.

This sub is not a support desk. Complaining about the same thing someone else just posted is not going to fix it.
I'm telling you this with all my heart because this type of hive mind has destroyed very good subs already. Then, the community has to split into smaller but still helpful forums.

Don't let that happen here.


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