Activity
Mon
Wed
Fri
Sun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun
What is this?
Less
More

Memberships

AI Agents & Vibe Coding

291 members • Free

18 contributions to AI Agents & Vibe Coding
I uploaded a new demo: 6 AI agents reviewing a SaaS codebase in 90 seconds
I just uploaded a new YouTube video for the community. In this demo, I show how the SaaS Roast Agent reviews a real SaaS codebase using 6 AI agents. One agent scans the project. Five specialist agents review it in parallel: authentication tenant isolation security database performance architecture Then a final synthesis agent combines everything into one Launch Readiness Report. The report gives: → launch score out of 100 → category-level scores → critical issues → security risks → database and architecture problems → practical 7-day fix plan The idea is simple: Founders, indie hackers, and vibe coders are building faster than ever. But fast shipping without review can create dangerous production bugs. This agent helps you move fast without blindly launching risky SaaS code. Built with Python, FastAPI, and the official Claude SDK. Just Claude SDK, structured prompts, tools, and a practical multi-agent workflow. Watch here https://youtu.be/fsE-XLm1yxI After watching, tell me this: Would you use an AI agent like this before launching your own SaaS project?
0 likes • 27d
[attachment]
Stop making your Agent think out loud
Nobody talks about this: the 'thinking out loud' style of reasoning models is mostly noise for production. You don't ship a chatbot that goes 'Let me think... I should consider...'. Strip the chain-of-thought from outputs. Reasoning is useful internally, ugly externally.
0 likes • May 12
Internally vs externally yes. Use the reasoning to plan, then have a second cheap call format the response. Two-step pattern
Day 30 of my email sorter
Day 30 of my email sorter. now also drafts replies for the 'can wait' bucket. team is using the drafts as starter text. saved each person ~20 min/day they say. wild that the simplest agent in my system is the one that's actually useful.
0 likes • May 11
20 min Ɨ 5 people Ɨ 22 days = 36 hours/month. Part-time hire's worth of time
UFO release AI powered automation
created n8n + dockling + ollama + deepseek + qdrant + obsidian automation to convert all recent US government UFO files into a searchable and interconnected library that can be queried, visually searched and AI prompted.
UFO release AI powered automation
0 likes • May 9
wait can someone explain qdrant for the uninitiated? is it a vector DB? trying to understand what it does in this stack
Write the unhappy path first
If you're building an agent that talks to a real user, write the unhappy path first. What does the agent say when the API fails? When the user types nonsense? When the model refuses? Most agent demos fall apart on these three failure modes. Designing them first will save you a week of bugs later.
0
0
1-10 of 18
Emily Johnson
2
13points to level up
@emily-johnson-1832
Data analyst who works with SQL, Python, and Power BI to help companies make better decisions. Enjoys finding patterns in complex data.

Active 27d ago
Joined Mar 28, 2026
Seattle
Powered by