Isaac

I'm researching what it would take to build an AI coding agent with a flat monthly subscription and no 5-hour or weekly limits. I'm starting with three questions: Which models are good enough for real projects? What does heavy usage actually cost? What tradeoffs would users accept? I'll share what I find.

Would you rather have: A coding agent with a stronger model but strict usage limits or A slightly weaker model you can use all day for one predictable monthly price? I'm curious where people would draw the line.

I think the next big improvement in AI coding tools won't just be a smarter model. It'll be making the experience predictable enough that you can start a project without wondering when you'll run out of usage.

I've failed at building more than one SaaS. The uncomfortable part is that each failure had a different explanation, which made it easy to think the next idea would fix everything. This time I want to spend more time understanding the problem before getting attached to my solution.

For people who use AI coding agents daily: When you hit your usage limit, what do you actually do? Switch tools? Use an API key? Wait for the reset? Stop working?

The worst time to hit an AI coding limit is when you've finally figured out what you're building. You have momentum. The agent has context. You know what to do next. And then: come back later.

Underrated growth tactic: Be consistently useful to the same 20 people.

Underrated AI coding tip: Ask the agent to explain the change before it makes it. Saves more time than any prompt trick.

Cheap growth strategy: Post a question. Answer every reply. Repeat.

Behind every overnight success on X: 400 posts nobody saw.

What's your favorite kind of post to write? Lessons Questions Threads Memes

What's harder? Starting again after a failed launch Staying humble after a small win

What's the fastest way you've found to get honest feedback on a new product?

Hitting your coding agent's limit weekly? Before upgrading your plan, audit these 5: 1. Chats longer than ~30 messages 2. Unused MCP servers 3. Bloated CLAUDE.md 4. Strongest model on easy tasks 5. Vague prompts that trigger repo-wide searches I fixed all 5 and went from limit by Wednesday to limit by Sunday. No plan upgrade.

Why your coding agent's usage limit disappears so fast: It doesn't just read your new message. Every turn re-reads the entire conversation. In one of my sessions, message 5 used ~8k tokens. Message 50 used ~95k. Long chats are the problem, not "too many prompts." Fresh chat per task. My limit lasts 2x longer.

You can't fix a usage limit you can't see. Run: npx ccusage It reads your local Claude Code logs and shows tokens per day and per session. I found 61% of my weekly usage came from ONE session I left open for 3 days. Check yours before you complain about limits.

Vibe coding rule that saved me: commit before every agent task. Agents can rewrite 20 files in one go. If the result is bad, "git reset --hard" takes 2 seconds. Without a commit, you're debugging an app you no longer have.

5 things vibe-coded apps get wrong that will get you hacked: 1. API keys in client-side code 2. Supabase tables with no RLS policies 3. Auth checked in the UI but not on the server 4. Stripe webhooks without signature verification 5. No rate limiting on endpoints that call paid AI APIs Prompt your agent: "Audit this repo for these 5 issues."

Most wasted agent tokens come from it confidently building the wrong thing. Fix: Shift+Tab into plan mode first. Make it list the files it will touch and its approach. Fix the plan, then let it code. 2 minutes of reviewing a plan saves 20 minutes of reverting a diff.

Why you hit your Claude Code limit in 2 hours, and how to stop it: Every message re-sends the whole conversation. A 50-message chat costs far more than 5 fresh 10-message chats. What I do now: 1. /clear between unrelated tasks 2. /compact at ~50% context, not at the end 3. Keep CLAUDE.md under 100 lines 4. Point it at specific files instead of "search the codebase" My limit now lasts 3 longer.