Even with an idea worth commercializing, it is hard to get all the way to launch without enough developers, budget, or the capacity to maintain the product. The Clevi Coding-Agent writes, analyzes, and modifies code based on requirements given in natural language. Planners can validate ideas quickly, and developers can cut down on repetitive work and focus on product quality and time to launch.
Agentic AI that lowers the barrier to development
Typical constraints in the development process and where a coding agent can help
Situation
Existing constraint
Using the coding agent
Validating a new idea
Requires developers and upfront cost
Builds a PoC from natural-language requirements
Managing legacy code
Takes time to understand the structure and dependencies
Analyzes the code, then identifies what to change and suggests improvements
Maintaining outsourced deliverables
Hard to respond when the vendor or developer is no longer available
Analyzes problem areas and the scope of changes in the existing code
Building your own sales channel
Requires building the platform and its operational features
Supports implementation of the website and sales features
cip-5-coder, developed by Clevi
Clevi developed the coding agent model cip-5-coder on the agentic capabilities of its large language model, which Clevi built in-house from the ground up. cip-5-coder is designed to analyze the developer's instructions and the project context and carry out the work needed. Clevi's in-house developers are currently using this coding agent on real projects.
Implements requirements given in natural language as code
Analyzes the structure and code flow of existing projects
Reports the cause of errors and what needs to be fixed
Suggests improvements to raise code quality
Handles repetitive development tasks and refactoring
Supports PoC development and feature validation
How staff and the coding agent share the work
Stage
The person's role
The coding agent's role
Defining requirements
Decides goals, conditions, and priorities
Organizes the requirements into work units
Building a PoC
Sets the scope of validation and success criteria
Implements features and produces a working result
Analyzing problems
Confirms the error situation and the expected result
Explores likely causes and the related code
Refactoring
Approves the scope of changes and quality criteria
Proposes structural improvements and modifies the code
Verifying results
Judges product fit and final quality
Runs tests and reports the results of the changes
Projects that used to take three or four people are now being handled by a single employee, and internally we see the quality of the output improving as well.
In-house use at Clevi
On-premises setup for environments that require security
The source code of companies and institutions can contain information that is hard to expose externally, such as product structure, business rules, and security settings. The Clevi Coding-Agent can be set up in a closed on-premises environment. Code and development information can be processed inside your own environment, in line with your organization's security policies and system conditions.
Try the coding agent or get in touch
To try the Clevi Coding-Agent before a PoC, fill out the Agent API application form on our website. Once we have reviewed your application, we will guide you through how to use it and the scope of work it can be applied to. Inquiries about on-premises deployment, analysis of existing code, and new service development are also welcome.
