Coding Agent Plan Mode with Super Powers
Get to your best spec faster. Align with your team faster. Let coding agents take on larger tasks.
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Coding agents are fast. But they are often missing context.
Without clear specs and team alignment, agents over-engineer solutions. Add unnecessary dependencies. Optimize prematurely.
By the time you're reviewing the code, it's too late: the architectural choices have already been made.
Builders are missing a tool that helps them align agents with their intent before they start coding.
WHAT YOU TOLD YOUR CODING AGENT
"Add user authentication"
CONTEXT YOU DIDN'T INCLUDE
• Tanstack is your preferred state library
• Your fastapi backend is already built
• Fetchers are auto-generated with your generate:api script
WHAT GOT BUILT
✗ New custom OAuth 2.0 server
✗ Fetching layer that uses GraphQL
✗ JWT refresh token rotation
1,200 lines. 3 new dependencies.
WHAT YOU ACTUALLY NEEDED
1 endpoint on your fastapi server and a login screen that uses Tanstack.
How Scott AI Works
We've re-imagined the engineering design process with coding agents as first-class citizens
STEP 01
Discovery Layer
Runs several coding agents in parallel to expose their divergences and highlight critical design decisions.
Multiple agents explore different implementation paths simultaneously
Divergences reveal where your spec needs more clarity
Surface architectural trade-offs before code is written
With Scott, specs replace pull requests as the primary layer for engineering alignment
What Our Customers Say
Trusted by engineering teams building the future
Our team ships so fast with coding agents that reviewing every commit became impossible. Now we front-load our time in spec reviews and alignment and spend probably 1/10th of the time we used to in pure code-review. It's actually insane to me that other teams are still doing reviews the same way people did in the 2010s.
JC
CTO Tenzo AI
Scott AI has completely changed the way I work with coding agents. Our specs are clearer, and our agents deliver exactly what we need on the first try far more often.
Jamie
Engineer, Coinbase
We reduced our spec writing time by 70% while improving the quality of our agent outputs. Game changer.
Arshan
Staff Engineer, Cisco