Disciplined AI Software Development AI Agent
by VarietyzDisciplined AI Collaboration: a method for building software with AI. One loop at every size, rules held by checks rather than attention, state derived rather than written, evidence in place of claims. Includes the PAG grammar, an architecture and a queryable ontology. Every page is also served as Markdown and JSON at banes-lab.com.
Disciplined AI Software Development is an open-source ai agent by Varietyz, written mainly in TypeScript, with 415 GitHub stars and the CC-BY-SA-4.0 license. Its code was last updated Oct 5, 2026.
Scan summary: scanned Nov 5, 2026 at commit 5af8c53. Seen able to connect to the internet. Scan policy
5af8c53 · Nov 5, 2026Findings (5)
- lowLow. Minor, or common in normal tools. Shown for information.In tests/examples/docs: Turns off TLS certificate checking, allowing traffic interception.
infrastructure/codebase.testing/test.scripts/core/adapters/viewport.adapter.test.ts:21 - lowLow. Minor, or common in normal tools. Shown for information.Possible example credential in docs/tests: generic-api-key
infrastructure/codebase.testing/test.coordination/core/predicates/secret.predicate.test.ts:29 - lowLow. Minor, or common in normal tools. Shown for information.Possible example credential in docs/tests: generic-api-key2 matches in this file
ontology/PRINCIPLES.md:5990 - lowLow. Minor, or common in normal tools. Shown for information.Possible example credential in docs/tests: generic-api-key
ontology/ALGORITHMS.md:16181 - lowLow. Minor, or common in normal tools. Shown for information.No manifest declaring network access and environment variables (agent.json)
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