Here’s a recap of helpful insights shared from this week’s community office hours.
Dylan: Run a security audit of the code base to get initial areas where keys may be exposed or there are vulnerabilities to fix.
Prompt:
You are a security auditor. Analyze this web application code and architecture to identify potential vulnerabilities. Highlight risks (e.g., injection, authentication flaws, data exposure) and suggest mitigations.
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Dylan: AI agents are computationally intensive and not always needed to parse through every message in a conversation flows.
There will be times where routing a message will be enough for a reply and action, there will be times for an LLM node, and other times for an agent node:
| Use Case | AI Agent Node | LLM Node | Routing/Filtering |
|---|---|---|---|
| Complex workflows, tool use, memory | Best choice | Not ideal | Useful for delegation |
| Basic chat/Q&A, simple output | Overkill | Best choice | Not needed |
| Intent-based model selection | Possible, but heavy | Not sufficient | Best choice |
| Cost and speed optimization | May be slow/costly | Fast, economical | Needed for smart routing |
| Conversation context over many turns | Supports memory | Limited without extra nodes | Use with Agent for best results |
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Lovable helps generate front ends, connect Supabase and get code to Github.
For more granular edits and control over your code, you can switch to an IDE. We recommend going as far as you can in Lovable as a prototype and even first couple of users.
From there, you’ll start finding gaps in what Lovable can do as a platform and it may make sense to switch.
Also, know Lovable is improving all the time, so it’s important to keep up to date with what it can and can’t do.
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