SaaS ideas your next customers are already looking for
100 SaaS startup ideas for the people who said they'd pay, from agency owners to dentists. Micro SaaS ideas, AI SaaS ideas and B2B SaaS ideas: find yours, build it, sign them up.
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Pain points in business: what people struggle with
Search the problems to solve, as people described them on Reddit and other platforms, in their own words.
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Unreliable AI Coding Agents
AI coding agents make out-of-scope, unverified, and unmaintainable changes that force constant human review and rework.
In their words
I feel like I need to prompt it 5 times just to actually finish the work properly.
You can start working in Codex with a perfectly normal model, and five minutes later, IN THE SAME THREAD, they degrade it.
In one run 19 short sleep calls accounted for 44% of the orchestrator’s estimated cost.
By the time I realized what was happening it had essentially broken my repo and I had to roll the whole thing back and write the day off.
a tool that confidently answers the wrong question is worse than one that fails loudly
EVERY SINGLE TIME. I'm like okay, run this through the CLI it just writes the prompt and tells me to do it.
it selected an approach and started implementing it before we had agreed on the direction
I did not see an agent ever suggesting to drop 3 tables and 30% of code to simplify the app.
I shouldn't have to fight the model every single step of the way to get it to preserve existing behavior while changing one specific thing.
The agents take quiet decisions that doesn't align with the overall vision, but I don't find out until later because I don't read all the code.
I end up spending more time cleaning up mess than I would've spent on doing everything by hand at the first place.
If I merge this we could face a massive IP lawsuit. If I reject it I have to explain why I can't solve the blocker manually.
It takes forever to do a relatively simple code review.
I measured one day of my own agent work and the tracker put 64.9% of the spend in its abandoned bucket.
software developers
Where they talk
- r/ClaudeCode
- r/codex
- r/AI_Agents
- r/ClaudeAI
- r/vibecoding
- r/LocalLLM
- r/cursor
- r/LLMDevs
Tools they use today
- Claude Code
- Claude
- Codex
- ChatGPT
- Cursor
- OpenCode
- git
- MCP
Why those fall short
- no reliable way to verify agent code, catch regressions or sync team memory
- rules dilute, style reverts, agent leaves codebase broken and asks permission
- agents use many delete methods and bypass policies; narration doesn't verify actual command behavior
- no way to detect degradation or verify model quality in real time
- claims fixes without verifying, introduces regressions, ignores project docs, loops
Map of ideas
Drawing the map…