- English: 18-complete-3-level-path.md
- Español: ../es/18-ruta-completa-3-niveles.md
Use this when you are not technical and want the AI to do setup + guidance end-to-end:
Using https://github.com/juanklagos/spec-driven-development-template, create everything needed to carry out my project end-to-end.
My project is: [describe your project in plain language].
If my project is new, initialize it with this template and GitHub Spec Kit.
If my project already exists, adapt it to idea/specs/bitacora without breaking current behavior.
Guide me step by step for my level (beginner/intermediate/advanced), using simple language.
Do not skip specification, plan, tasks, refinement trace, logbook, and validation.
Tip
Recommended start (low friction): you do not need to clone this repository if you are already working inside a project.
Mandatory rule: tell the Artificial Intelligence assistant to work with this template and its guides as the primary reference.
Optional clone:
git clone https://github.com/juanklagos/spec-driven-development-template.git
cd spec-driven-development-templateflowchart LR
A["Level 1 🟢\nBeginner"] --> B["Level 2 🟡\nIntermediate"]
B --> C["Level 3 🔴\nAdvanced"]
A --> D["Idea + First spec"]
B --> E["Refinement + Quality"]
C --> F["Unified execution + Scalability"]
Start without confusion and produce first usable specification.
- Complete
idea/IDEA_GENERAL.md. - Create
specs/001-my-first-spec/. - Copy templates.
- Ask AI to complete content in simple language.
- Record session in logbook.
Using https://github.com/juanklagos/spec-driven-development-template,
help me as a beginner create my first project.
Guide me step by step for idea, first spec, and logbook.
Do not move forward until I confirm understanding.
Run iterative work with full traceability.
- Read idea + index + latest handoff.
- Select active spec.
- Update
plan.mdandtasks.md. - Execute in-scope changes.
- Update
history.mdand logbook.
Using https://github.com/juanklagos/spec-driven-development-template,
work on the active specification and keep consistency.
Before implementation, summarize scope and risks.
After implementation, update history.md and logbook.
Return output as: goal, changes, validation, risks, next step.
Control quality and consistency across different Artificial Intelligence tools.
- Apply refinement protocol for every scope change.
- Execute full Spec Kit flow.
- Apply TDD + BDD in specs and validations.
- Run project locally and report outcomes.
- Consolidate quality metrics per spec.
Using https://github.com/juanklagos/spec-driven-development-template,
apply advanced workflow with strict quality control.
If scope changes, block implementation until spec/history/index are updated.
Run technical and functional validations.
Return unified report: goal, files, commands, validations, risks, next step.
:
docs/en/13-quick-guide-non-programmers.md
:
docs/en/14-intermediate-guide.md
:
docs/en/15-advanced-guide.md
If there is no documentation traceability, work is not considered complete.
- Start from a simple one-paragraph project description.
- Ask the AI to confirm the active spec before coding.
- Close every session with validation and a clear next step.
flowchart LR
A["Project idea"] --> B["Spec approved"]
B --> C["Plan aligned"]
C --> D["Tasks prioritized"]
D --> E["Implementation"]
E --> F["Validation + Logbook"]