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For AI agents: a documentation index is available at https://docs.coverbase.com/llms.txt — this page is also available in markdown by appending .md to the URL.
Security is built into how we ship, not bolted on afterward. Every change to Coverbase flows through a secure software-development lifecycle (SDLC) with mandatory review and automated quality and security gates before it reaches production.

Change management

Peer review required

All code changes are made on branches and merged through pull requests. Changes require review and must pass automated checks before merge to the main branch.

Protected main branch

The production branch is protected. Direct pushes are disallowed; merges go through review and a green check suite.

Traceable history

Every change is attributable to an author and a reviewer, with linear, auditable history from commit to deploy.

Controlled releases

Deployments are automated through CI/CD, so what runs in production is exactly what was reviewed and built.

Automated quality and security gates

Every pull request runs an automated check ladder before it can merge:
GateWhat it enforces
Type checkingStatic type analysis across all services (backend and frontend) catches whole classes of defects before runtime.
Linting and formattingEnforced style and lint rules keep the codebase consistent and flag risky patterns.
Automated testsUnit, integration, and end-to-end suites must pass.
Dependency scanningThird-party dependencies are scanned for known vulnerabilities and kept current.
Secret scanningAutomated scanning blocks credentials and secrets from being committed.

Dependency and supply-chain hygiene

  • Dependencies are pinned and their lockfiles are checked in CI, so the build is reproducible and a dependency cannot change underneath us silently.
  • Known-vulnerable dependencies are surfaced and upgraded on a priority basis.
  • CI/CD runs with least-privilege credentials scoped to the task at hand.

Infrastructure as code

Production infrastructure is defined as code and provisioned through reviewed, version-controlled pipelines (Pulumi on AWS). Infrastructure changes go through the same review and approval path as application code, so configuration drift and unreviewed production changes are prevented.

Separation of environments

Development, testing, and production are separated. A full, isolated sandbox environment lets customers and integrators build and test against the API without touching production data.

Secure-by-default patterns

The platform is built around defensive patterns that are enforced in code review and by automated rules — for example, mandatory per-organization data scoping at the data-access layer, authenticated-by-default API routes, and constrained credential scopes. New code inherits these protections by construction rather than relying on each engineer to remember them.