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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AI Code Review Burden
AI-generated code is unreliable, bloated, and poorly understood, forcing developers into heavy manual review, debugging, and rework before it can ship.
In their words
It still can’t keep a complex, modular project properly in context. It is absolutely useless for software where precision and reliability actually matter.
The codebases are the kind of thing where every individual file looks fine but the system doesnt hold together.
it will always make severely bloated and non-functioning playbooks where I basically have to trim it down 50%
I've had way too many sessions where hours of work basically had to be thrown away.
I dont understand how its even possible to know code well enough to just code things without tutorials and without 6 hours of trouble shooting
Codex turned my project into a 10,000+ line nightmare. How do I recover from this?
for a simple fix/feature there’s a 300 lines of changes
there are features i don't remember asking for. buttons that lead to pages i've never visited.
I am a software engineer so I personally audit every production from AI
the amount of time we spend reviewing the AI generated MR pretty much makes the velocity if not the same but slower
New issue? -> Ask Claude -> It fixed it but broke another part of the code -> Ask Claude again.
Some application-state flows and edge cases were still missing or incorrect, despite the implementation summary and passing validations.
I’ve had to rewrite practically everything the AI generated for me, despite using a frontier model dialed up to 11 thinking levels.
The codebase was a maze... because the AI made it too easy to add layers without cleaning up what was underneath.
Software developers and engineering teams
Where they talk
- r/ClaudeCode
- r/ClaudeAI
- r/vibecoding
- r/codex
- r/developersIndia
- r/SaaS
- r/ExperiencedDevs
- r/webdev
Tools they use today
- Claude
- Claude Code
- Codex
- Cursor
- ChatGPT
- Copilot
- Lovable
- GitHub Copilot
Why those fall short
- AI can't hold full context; devs can't guide it to reuse modules
- Claude Code shows no per-line accept/deny; reviewing is manual and inefficient
- cannot keep complex modular project in context; useless where precision matters
- cannot stop the verbosity or jargon; instructions and skills ignored
- generates bloated code, lacks codebase context, requires thorough review
Map of ideas
Drawing the map…