You know that feeling when Cursor suggests exactly the function you need, or when you type a comment and it just gets it and completes the entire implementation?
Well, I got jealous. Video editors are still doing everything manually like we’re coding in Notepad in 1995.
So I built EditFast – basically Cursor, but for video editing.
The Problem: Editors Are Still in the Stone Age
While you guys have AI that understands your codebase, suggests completions, and automates repetitive tasks, video editors are still:
- Cutting clips one by one manually
- Dragging effects from panels like it’s 2005
- Doing the same color corrections on 50 clips
- Manually syncing audio for hours
It’s like having to write every for loop from scratch. Every. Single. Time.
How EditFast Works (Think Cursor Context + Actions)
Just like Cursor understands your entire codebase, EditFast’s AI agent sees your complete project:
Full project context – Every clip, effect, timeline position, metadata
Direct manipulation – Doesn’t just suggest, actually does the work
Multi-step execution – Breaks complex tasks into atomic operations
Self-review – Checks its own output and suggests improvements
Real Example: The “Import and Clean” Workflow
Traditional editing (like coding without an IDE):
1. Import 40min interview video
2. Manually scrub through finding good moments
3. Cut each segment individually
4. Remove "ums" and silent pauses one by one
5. Apply same color correction to each clip
6. Add titles manually
Total time: 4+ hours
With EditFast (like having Cursor autocomplete your entire function):
"Extract the 5 best moments from this interview,
remove filler words, apply my brand colors,
add descriptive titles"
Agent executes:
- Transcribes audio and identifies key moments
- Auto-removes filler words and dead space
- Creates 5 separate timeline projects
- Applies consistent branding and effects
- Generates contextual titles
Result: 5 polished clips in 10 minutes
The Technical Difference
Most “AI video tools” are like basic autocomplete – they make content or give suggestions.
EditFast is like Cursor’s deep understanding:
Context Awareness: Knows your entire project structure, not just the current clip
Direct Execution: Actually manipulates timeline, effects, and media files
Iterative Improvement: Reviews output and refines automatically
Pattern Learning: Adapts to your editing style over time
Features That Feel Like Magic
Transcription-Based Editing
Edit video by editing text. Delete words from transcript → automatically removes from timeline.
It’s like find/replace, but for video content.
Smart Auto-Corrections
Agent detects issues and fixes them:
- “This talking head shot is too dark” → Auto-adjusts exposure
- “Title overlaps speaker’s face” → Repositions automatically
- “Audio levels inconsistent” → Normalizes across project
Why I Built This
I’ve been using Cursor for my side projects, and the productivity gain is insane. Then I’d switch to video editing and feel like I went back to vim without plugins.
Content creation is exploding – everyone needs video content constantly. But our tools are still designed for Hollywood productions with 6-month timelines.
We needed something that understands modern content velocity, just like Cursor understands modern development workflows.
Think of it this way:
- Cursor = AI pair programmer that understands your codebase
- EditFast = AI pair editor that understands your video project
Same concept, different domain. But video editing has way more visual complexity and real-time constraints.
Current Status
Alpha version live with core AI agent functionality
Supports all major video formats, multi-track editing
AI Features: Auto-transcription, smart cuts, style transfer
Next: Advanced visual analysis, motion tracking integration
TL;DR: I got tired of video editing feeling like coding without IntelliSense, so I built the AI agent I wanted. It’s like having Cursor’s understanding and automation, but for video timelines instead of codebases.
Anyone else working on domain-specific AI tools? Would love to hear what you’re building!
P.S. – Fellow developers get early access if you want to try it out 