Software Development Algorithm

The steps

1. Direct. State the problem the software solves in one sentence. If you cannot, do not begin coding.
2. Guide. Structure the requirements gathering: which users, which workflows, which systems integrate, which data flows.
3. Gather. Capture every constraint: technical, business, user behavior, performance, security, scale. Hold every variable open.
4. Organize. Build the architecture blueprint before writing code. Data model, system boundaries, dependency graph, deployment topology, failure modes.
5. Identify the gradient. What state should the user be transitioned from to? The software’s job is to channel that gradient.
6. Apply Process Density: complexity must be sufficient to handle real cases without being so complex it becomes brittle.
7. Build incrementally per Fibonacci. Each feature builds on prior two. Do not implement features before their dependencies.
8. Test against the falsifiability standard. What input would prove the software wrong? Write that test.
9. Document the architecture, the assumptions, and the variables held open. Per Database step.
10. Deploy to production. Observe behavior. Per the Slime Mold Integration: every production failure is information for the next iteration.
11. Iterate at higher baseline. Repetition with integrated learning.

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From the GFunnel Methodology v5.1 by Cameron Garlick, licensed CC BY 4.0. Steps are reproduced word for word.