AI fixes that sound like your team wrote them.
Without context, AI generates generic fixes that technically work but violate your naming conventions, ignore your database patterns, and break your architecture rules. Institutional Logic fixes that — by teaching DeployOwl your team's standards before it touches a single line of code.
Generic AI fixes are a different kind of bug.
A fix that ignores your prepared statement rules introduces a SQL injection vector. A fix that uses the wrong error schema breaks your API contract. A fix that violates your naming conventions fails your code review.
DeployOwl's autonomous fixes are only as good as what it knows about your system. Institutional Logic is how you tell it.
You define rules four ways. Every fix follows them forever.
Upload your standards once. Institutional Logic parses them into an isolated knowledge index scoped to your workspace — no other tenant sees it, no other team's rules bleed in.
When an error occurs, the repair engine maps the fault against your rules before generating a single line of code. The fix it writes reflects your conventions, your patterns, your standards. Not Stack Overflow. Your team.
Logic Protocols
Write direct rules in plain text. Naming conventions, error schemas, database patterns. The AI reads them exactly as written.
API Blueprints
Paste a Swagger URL. Institutional Logic ingests your full API spec automatically and enforces your endpoint contracts on every fix.
MCP Connect
Connect your existing MCP server directly. Your internal tools, your context, already structured.
cURL API
Push rules programmatically via API. Automate rule updates as your codebase evolves.
Style enforcement
Naming conventions, framework constraints, file separation rules — the AI reads them and respects them on every fix. No code review comments about style. Ever.
Architecture guardrails
Define your database topology, API boundaries, and dependency rules. The repair engine won't reach outside them — no surprise packages, no pattern violations.
Pre-production simulation
Test your rules before they go live. Simulate a real production error and watch how Institutional Logic steers the fix — inspect exactly which rules were referenced, what patch was generated, and whether it compiles. Zero risk.
Microservice isolation
Define separate rule sets for separate services. The auth service follows auth rules. The payments service follows payments rules. No cross-contamination.
What rules look like in practice.
Three rules. Every AI-generated fix that touches a database query, an error response, or an API endpoint will follow them automatically — without a single code review comment.
Your codebase. Your rules. Every fix.
Define your first rule in under 2 minutes. Every autonomous fix DeployOwl generates from that moment follows it.