KinHelm Studio
Governed AI code generation. Where the platform governs interactions and WALDO governs components, Studio governs the code itself, ensuring every application built with AI assistance meets security, quality, and compliance standards before it reaches a repository.
AI code assistants optimize for compiles, not for secure.
Left alone, generated code ships with the same flaws at machine speed, and the volume overwhelms human review.
It runs, therefore it ships.
Assistants reward working output. Missing CSRF protection, permissive headers, root containers, and unpinned dependencies all pass the only test being applied: does it run.
The code drifts from the ask.
Prompt-to-code with no approved plan means scope is negotiated with an autocomplete. What gets built is whatever the model inferred, and nobody signed off on it.
Tokens echo into history.
Assistants happily print credentials into responses, logs, and commits. Once a token lands in git history, it is compromised and it is permanent.
Three outcomes. Here is how Studio delivers them.
Faster compliance
Complete visibility
Automated management
No plan, no code. No validation, no commit.
Plan
Generates a structured, human-readable sprint plan for review and approval before any code is written.
Execute
Generates, validates, and commits code to GitHub, with every gate enforced and every event logged.
14-gate pre-commit suite
Cross-module signature checks, CSRF completeness, route registration, API write symmetry, and more. Cross-file gates scan the full codebase, not just changed files.
Zero-exposure policy
No token, key, JWT, or secret is ever printed, logged, committed, or returned. Secrets encrypted with Fernet/AES-128; plaintext never touches disk.
Four-tier token resolution
OAuth, then GitHub App installation token, then library credential, then Studio token. Applications crash on a missing SECRET_KEY rather than fall back to a default.
Full revision history
Git commit hashes, deployment status, and event-level logs covering builds, container lifecycle, plan approvals, and profile applications.
Self-contained deployment
Every generated application ships as a one-click deploy package: source, .env template, and DEPLOY.md, with no Studio dependency at runtime.
Shareable preview links
Time-limited, revocable stakeholder preview links with no login required for viewers.
Automated issue tracking
Every quality signal appends a structured entry to a shared issues log. 34 production issues tracked and resolved; every agent rule traces to a logged issue.
CIS and STIG at generation time
Security profiles are applied as the code is written, not bolted on in review, down to container users, capability drops, and response headers.
Self-documenting controls
STIG-profile applications auto-generate an /about page documenting every applied control with its STIG ID.
| Profile | Controls enforced |
|---|---|
| CIS1 | OCI-compliant container asset inventory labels, /health endpoint |
| CIS2 | Hash-pinned dependencies, multi-stage Docker builds |
| CIS1 + CIS2 | Combined controls |
| STIG | All CIS controls plus session cookie security flags, security response headers (CSP, X-Frame-Options), CSRF protection, non-root container users, capability drops, and an auto-generated /about page documenting every applied control with its STIG ID |
Ship AI-assisted code your auditors will sign off on.
Request a briefing and watch a plan-to-commit cycle run every gate live.