Sentient RecommenderSentient Information Systems
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About
Command Code is a frontier coding agent that lives in the terminal, builds full-stack projects, ships features, fixes bugs, writes tests, and refactors code while continuously learning how each developer works. Powered by the meta neuro-symbolic taste-1 model and continuous reinforcement learning, it treats every accepted suggestion, rejection, and edit as a signal, turning recurring choices, structures, patterns, and tooling preferences into project-level skills and persistent memory. Instead of relying only on generic best practices, it learns code-review habits, style preferences, architectural decisions, package managers, libraries, and small conventions developers rarely document, then applies the relevant taste context in future sessions. Command Code supports interactive CLI work, headless prompts, automated execution, plan mode, background sandboxes, custom agents, checkpoints, and memory across sessions.
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About
Quickly expanding product ranges and increasing individual choice options make it harder to pinpoint the personal taste of the consumer. The Sentient Recommender dives deep into that personal taste by analyzing the customer’s choices and recommending products that best fit their personal preferences. Recommender bases its insight in these personal preferences on a database that contains earlier choices by many other consumers. Conventional product recommendations are based on historical lending and sales data. “Customers that have borrowed this book have also looked at these titles”. The Sentient Recommender goes further than this, by interpreting the personal taste based on the unique combination of preferences. In this process, the popularity of choices plays an important role. Some choices are based on how well-known the products are, rather than the actual personal preference of the consumer.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Engineering leads at growing SaaS companies who need an adaptable coding agent that follows shared architecture and development standards
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Audience
Businesses in need of a product recommendation engines solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$1 per month
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationCommand Code
Founded: 2023
United States
commandcode.ai/
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Company InformationSentient Information Systems
Founded: 1991
Netherlands
www.sentient.nl/sentient-recommender
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