Agentic Thoughts 2026-08-07

What Should an AI Coding Tool Policy Include?

An AI coding tool policy should describe the boundaries and evidence that matter for the software being built. A short checklist can include:

1. Scope: which teams, repositories, tools and environments are covered.

2. Architecture: which components, boundaries and integration patterns must be preserved.

3. Data: what information the tool may access and how sensitive data is handled.

4. Permissions: which files, tools, services and credentials are available.

5. Controls: authentication, authorization, validation, encryption, isolation, logging and recovery requirements.

6. Prohibited actions: shortcuts, direct access paths, unapproved dependencies or high-impact changes.

7. Evidence: tests, review records and implementation details that should be produced.

8. Evaluation: how generated or supplied output will be assessed against the expected design.

One possible iSecureByDesign workflow

Teams can represent the architecture, apply their configured policy definitions and select the controls that apply to each component. iSecureByDesign can then generate the requirements specification used by developers, AI coding tools and evaluation workflows.

Where the diagram environment is extended with specification blocks and an output prompt, selected guidance can also be formatted as steering files, repository rules or tool-specific instructions.

The team remains responsible for authoring and approving the policy. iSecureByDesign does not invent the policy or perform the threat model; it applies the configured policy to the structured model.

See Policy Configuration, Policy authoring basics, and Policy testing checklist.

About Agentic Thoughts: This Agentic Thought was generated with AI. Agentic Thoughts are part of an ongoing process of evolving ideas about iSecureByDesign and how it may be applied to real-world problems. They are exploratory and do not necessarily represent a final product commitment, implementation, or formal advice.