Reliable Software With a Tested, Human-Verified Process by Daniel TaylorReliable Software With a Tested, Human-Verified Process by Daniel Taylor
Reliable Software With a Tested, Human-Verified ProcessDaniel Taylor
Cover image for Reliable Software With a Tested, Human-Verified Process
I build and maintain small software products using a rigorous AI-assisted engineering process designed around correctness, traceability, and human control.
This service is for founders, small businesses, independent creators, and teams that want the leverage of modern AI development without handing their product over to an opaque “vibe coding” process.
Every change is treated as a bounded engineering task. Requirements are defined before implementation, the change surface is constrained, relevant tests are written or updated, results are reviewed against the specification, and the work passes a human acceptance gate before becoming a Git checkpoint.
The process can include:
Requirements and specification development
Software architecture and domain modeling
AI-assisted implementation
Automated tests and regression protection
Structured review of code and behavior
Git-based change history and recoverable checkpoints
Documentation for future developers and AI agents
Ongoing maintenance through small, controlled changes
The goal is not simply to generate code quickly. It is to produce software that can be understood, tested, maintained, and safely changed over time.
My I Ching software project serves as the working proof of this process. Its repository uses durable engineering artifacts such as specifications, architecture documentation, agent instructions, automated tests, structured fixtures, and bounded Git commits so that important project knowledge exists outside any individual AI conversation or model.
The result for you is a small software product with a clear specification, an inspectable development history, verification evidence, and a maintainable foundation—not a pile of AI-generated code that nobody fully understands.
Starting at$1,500
Duration2 weeks
Tags
Git
Service provided by
Daniel Taylor Dallas, USA
Reliable Software With a Tested, Human-Verified ProcessDaniel Taylor
Starting at$1,500
Duration2 weeks
Tags
Git
Cover image for Reliable Software With a Tested, Human-Verified Process
I build and maintain small software products using a rigorous AI-assisted engineering process designed around correctness, traceability, and human control.
This service is for founders, small businesses, independent creators, and teams that want the leverage of modern AI development without handing their product over to an opaque “vibe coding” process.
Every change is treated as a bounded engineering task. Requirements are defined before implementation, the change surface is constrained, relevant tests are written or updated, results are reviewed against the specification, and the work passes a human acceptance gate before becoming a Git checkpoint.
The process can include:
Requirements and specification development
Software architecture and domain modeling
AI-assisted implementation
Automated tests and regression protection
Structured review of code and behavior
Git-based change history and recoverable checkpoints
Documentation for future developers and AI agents
Ongoing maintenance through small, controlled changes
The goal is not simply to generate code quickly. It is to produce software that can be understood, tested, maintained, and safely changed over time.
My I Ching software project serves as the working proof of this process. Its repository uses durable engineering artifacts such as specifications, architecture documentation, agent instructions, automated tests, structured fixtures, and bounded Git commits so that important project knowledge exists outside any individual AI conversation or model.
The result for you is a small software product with a clear specification, an inspectable development history, verification evidence, and a maintainable foundation—not a pile of AI-generated code that nobody fully understands.
$1,500