The “Senior Partner” Philosophy
Scaling the Architect, not replacing the Developer.
The Senior Partner Concept
Klyve is built on a specific conviction: AI requires a human as a senior partner.
The power of AI is best experienced when it is used as a tireless, multi-talented assistant for human expertise, not as a substitute for it. Klyve fills the gap between a solo developer’s limited hours and the “team-sized” demands of modern applications.
It is designed for the Solo Professional: the senior developer, the architect, or the technical founder who has the expertise to lead a team but lacks the headcount. Klyve provides that headcount.
The “Orchestrated Agency” Philosophy
Klyve is not a wrapper; it is a Deterministic Orchestrator managing a team of AI Agents.
We solve the “Black Box” problem through strict architectural separation:
1. The Orchestrator (Logic Layer)
A sophisticated, logic-heavy state machine that defines the strategy, safeguards, and workflow. It manages the context and directs the agents.
2. The Agents (Execution Layer)
Specialized AI workers that perform specific tasks (writing SQL, generating UI, parsing logs) only when commanded by the Orchestrator.
3. The Human (Authority Layer)
You. Klyve does not jump from “Idea” to “Code” as most other tools do. It enforces a professional SDLC where you retain control at every strategic step:
- Spec Elaboration: Klyve elaborates your initial requirements into detailed Specifications after giving you an idea about any risks involved in automating the project delivery. You review, refine, and approve these specs.
- Sprint Planning: Klyve generates a backlog, helps you define a Sprint, and performs dependency/risk checks. It then presents a Sprint Development Plan. You authorize this plan.
- Task Execution: Even during development, Klyve pauses before every single task in the plan. It asks for your Task Authorization to proceed, ensuring you are never a passive observer.
- Refinement: At every stage - Specs, Backlog, or Plan - you have the opportunity to refine the output before giving final approval.
Realistic Expectations
Klyve is a powerful engine, but it requires a skilled leader.
- It Is Not Magic: LLMs can hallucinate, omit details or make mistakes. Klyve has built-in self-correction loops to catch syntax errors and logic flaws, but it is not infallible. You will occasionally need to step in to fix a bug, spot an omission or error, or unblock a test environment.
- Scale Limits: Klyve is optimized for clearly defined services and small to medium sized applications, or a larger application in parts. It is not designed to generate a sprawling enterprise application in a single prompt.
- The UI/UX Boundary: Klyve is an engineering tool, not a creative UI design agency. If your project requires a GUI, it generates functional, clean interfaces (e.g., in React), but expect to apply your own visual polish.
A Note from the Developer
The “Dogfood” Origin Story
I am a retired technologist with a 35-year career spanning from self-taught coding to executive management. While my architectural fundamentals remained sharp, my hands-on coding skills had long since faded.
When I set out to build software again after retirement (initially to experiment with vibe coding), I didn’t want to spend time learning syntax. I wanted to architect working systems. Klyve was born from this need.
Klyve was built by Klyve.
I did not write the code for this application in the traditional sense. I defined the requirements, approved the specifications, and managed the backlog. I acted as the “Senior Partner.” The AI acted as the junior engineering team, writing the code under my strict supervision.
This product is the result of that partnership. It is proof that a single architect, armed with the right process and AI, can build enterprise-grade software without writing every line of code themselves.
Mario J. Lewis, IAPP AIGP
Certified AI Governance Professional
(Retired) veteran of the software industry
Contact
For beta feedback, bug reports, and anything in general: