Montee
Montee
Published: March 13, 2026
Video Description
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If you've been following the rise of AI coding tools, you've probably heard about the shift from traditional AI code editors to agentic coding workflows. Instead of writing most of the code yourself, these tools let you run multiple coding agents in parallel, review their changes, and ship features much faster.
In this video I test three of the most popular agentic coding tools right now: Conductor, Superset, and Cursor. I walk through how each one works, how they handle multi agent workflows, and what the actual development experience feels like when you’re building a real app.
I share which tool I personally recommend for agentic coding right now and where each one still falls short.
If you're a solo developer trying to build apps faster with AI, this breakdown should help you decide which agentic coding setup is actually worth using.
Chapters:
00:00 What Are Agentic Coding Editors?
00:28 Conductor vs Superset vs Cursor
00:57 Setting Up Conductor Workspaces
01:43 Running Multiple AI Coding Agents
01:56 Running Apps and Terminal Workflows
02:20 Demo: Prompting Multiple Agents
03:25 Conductor Pros and Cons
04:43 Switching Models for Code Execution
05:18 Reviewing AI Code Changes
06:54 Creating Pull Requests with Agents
08:12 Sponsor: Crusoe AI Infrastructure
09:54 Debugging CI Errors from AI Changes
10:53 Conductor Limitations and IDE Needs
12:24 Continuing Work in Cursor
13:05 Conductor Final Thoughts
13:21 Superset Terminal Based Workflow
14:50 Superset PR Workflow Issues
20:38 Cursor Agent Mode Setup
22:41 PR Creation Issues
23:58 Why Cursor Feels Broken
25:31 Final Recommendations & Comments
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#coding #ai #programming #developer #aiagents #buildinpublic