CommandCodeAI

Command Code

Name: Command Code
Author: CommandCodeAI

Ahmad Awais' coding agent built around 'taste-1', a proprietary preference-learning system that adapts to how you like code written. Beta launched in early 2026 with 250+ releases by mid-year; raised a $5M seed led by Preston-Werner Ventures.

CLIActiveProprietaryBYOKMCP Unknown

n/a

Attributed output

No signal we can detect yet

n/aAttributed outputNo signal we can detect yetCommits and PRs on public GitHub provably produced by this agent. Exact if it is visible through its own bot or workflow, an estimate if measured through attribution it declares (these can swing 30 to 40 percent between measurement runs at multi-million scale), and a floor either way.

#43

Index rank

of 44 tracked agents

#43Index rankof 44 tracked agents

n/a

Business signal

No sourced business metric

n/aBusiness signalNo sourced business metric

n/a

Entry price

No published pricing

n/aEntry priceNo published pricing

Not published

GitHub stars

No public repo

Not publishedGitHub starsNo public repo

Not published

npm demand/wk

Public npm counter

Not publishednpm demand/wkPublic npm counterWeekly package downloads as an install-demand floor; adjusted when the vendor's main install channel is no longer npm.

Market

Developer output

No signal we can detect yet

Command Code works through the developer's own identity and leaves nothing public we can currently attribute to it on its output, so its public footprint is invisible \u2014 not absent, and not a sign of low usage. Agents in this group are ordered by their sourced business and traction signals instead.

Index rank: #43 of 44
Demand share: No public npm package
Business signal: No sourced business metric
GitHub share: No public repo
npm channel: No public npm package

All sourced signals (2)Expand

Signal	Value	Type	Confidence
Funding	$5M seed led by Preston-Werner Ventures	Reported	High
OpenRouter coding rank	#10 coding app, ~64.8B tokens	Public metric	High

Product

Providers

Multiple via routing

Model families

Frontier models via routing

Capabilities

taste-1 preference learningRapid release cadence

Tradeoffs

Proprietary and personality-driven; small team
#10 on OpenRouter's coding table (~65B tokens), an order of magnitude behind the leaders