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AI-Enhanced Software Engineering

Understand softwareengineeringin the AI era

AISEE Wiki is an independent methodology site around OpenSpec, Compound Engineering, and AISEE workflows.

Spec First. Harness Better. Compound Knowledge.

Three method threads

The site is organized by methodology, not by tool commands. OpenSpec provides the source of truth, Compound provides the execution and learning discipline, and AISEE connects them into working flows.

01

Spec First

Turn intent, scope, behavior change, design judgment, and acceptance criteria into reviewable artifacts.

02

Harness Better

Put AI inside explicit agents, skills, MCP tools, hooks, schemas, and workflows.

03

Compound Knowledge

Keep templates, cases, schemas, retrospectives, and fixes available for the next change.

From problem to reusable knowledge

The same loop should be visible in each serious AI engineering task: define, specify, prepare context, execute, verify, then preserve what worked.

01

Frame the problem

Clarify goal, user, constraint, non-goal, and acceptance direction.

02

Model the spec

Make scope, behavior, and decisions inspectable before execution starts.

03

Prepare context

Collect project facts, memory, skills, source maps, and tool boundaries.

04

Execute the work

Let AI act inside explicit tasks, permissions, and workflow steps.

05

Verify the result

Use tests, review, checks, and guards to decide whether work can move on.

06

Compound knowledge

Keep patterns, fixes, templates, and cases available for the next change.

Start by what you need

Use the homepage as a map. Pick the question you are trying to answer, then enter the section that carries that job.

Start with the guide

AISEE practice sections

Open collaboration and source notes

This site is maintained as an independent practice and methodology wiki. It is not the official OpenSpec or Compound documentation.

Source on GitHub

Documentation source is hosted in GitHub and pages can provide edit entries.

Open source projects

Team-owned projects are separated from external recommended resources.

Open contribution

Contributions can be fixes, cases, workflow templates, skills, or schemas.

Clear attribution

The site documents independent practice, interpretation, and methodology.

Recommended reading path

View guide

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