Sourcegraph Cody + Healthcare App

Built a healthcare app with Sourcegraph Cody?
We'll make it production-ready.

Healthcare apps handle protected health information (PHI) — patient records, diagnoses, medications, and medical histories. This data is among the most heavily regulated in any industry, and a breach can result in six-figure fines and criminal liability. AI tools can build patient portals and appointment systems quickly, but they have zero awareness of HIPAA requirements, data handling rules, or healthcare-specific security standards.

TypeScriptGoPythonJavaReact

Healthcare App challenges in Sourcegraph Cody apps

Building a healthcare app with Sourcegraph Cody is a great start — but these challenges need attention before launch.

HIPAA-compliant data handling

Protected health information must be encrypted at rest, encrypted in transit, access-logged, and stored only in HIPAA-compliant infrastructure. AI tools store data in standard databases with no encryption, no access logging, and on hosting providers that may not offer HIPAA-compliant tiers.

Access controls and minimum necessary rule

Healthcare regulations require that users only access the minimum data necessary for their role. A nurse sees different data than a billing clerk. AI-generated auth gives everyone the same access level, which violates the minimum necessary principle.

Audit logging for compliance

Every access to patient data must be logged — who viewed it, when, from where, and what they accessed. These logs must be tamper-proof and retained for six years. AI tools don't generate any audit logging, let alone compliant audit trails.

Telemedicine reliability

Video consultations, real-time messaging, and appointment scheduling must work reliably — a dropped video call during a medical consultation is not just frustrating, it's a patient safety issue. AI tools generate basic WebRTC setup without fallback mechanisms or connection quality monitoring.

Patient data portability

Patients have the right to access and export their health records. Your app needs secure data export, standard health data formats (FHIR, HL7), and the ability for patients to transfer their data. AI tools don't implement any data portability features.

Consent management

Patients must explicitly consent to data collection, sharing, and treatment. This consent must be recorded, revocable, and granular (consent to share with one provider doesn't mean consent to share with all). AI tools don't build consent management systems.

What we check in your Sourcegraph Cody healthcare app

Data encryption — PHI encrypted at rest and in transit
Access controls — role-based access with minimum necessary enforcement
Audit logging — tamper-proof logs of all PHI access
Infrastructure — HIPAA-eligible hosting and database configuration
Authentication — MFA, session timeout, device management
Consent management — recorded, granular, revocable patient consent
Data portability — patient data export in standard formats
Backup and recovery — encrypted backups, tested restore procedures
Error handling — failures never expose PHI in error messages or logs
Third-party integrations — BAAs in place for all data processors

Common Sourcegraph Cody issues we fix

Beyond healthcare app-specific issues, these are Sourcegraph Cody patterns we commonly fix.

highCode Quality

Suggestions based on deprecated or low-quality code patterns found in the existing codebase

Cody's suggestions are grounded in your actual codebase, which means if the codebase contains outdated patterns, deprecated library usage, or known-bad code, Cody will suggest those same patterns in new code — amplifying technical debt.

highSecurity

Cross-repo context can leak patterns from one team's code into another team's service

In large organizations where Cody indexes multiple repositories, suggestions can carry patterns from one team's codebase into another, introducing unfamiliar dependencies, different error handling conventions, or architectural approaches that do not belong in the target service.

mediumSecurity

Security vulnerabilities in existing code recommended as reference implementations

If the indexed codebase contains known security issues that have not yet been patched — unparameterized queries, missing auth checks, insecure deserialization — Cody may suggest these patterns as examples when generating similar code.

mediumPerformance

Performance anti-patterns replicated from existing high-traffic code paths

When Cody finds existing code as a reference for a new feature, it may replicate performance issues — N+1 queries, missing indexes, blocking synchronous calls — that are accepted in the existing code but will be problematic at the scale of the new feature.

Start with a self-serve audit

Get a professional review of your Sourcegraph Cody healthcare app at a fixed price.

External Security Scan

Black-box review of your public-facing app. No code access needed.

$19
  • OWASP Top 10 vulnerability check
  • SSL/TLS configuration analysis
  • Security header assessment
  • Expert review within 24h
Get Started

Code Audit

In-depth review of your source code for security, quality, and best practices.

$19
  • Security vulnerability analysis
  • Code quality review
  • Dependency audit
  • Architecture review
  • Expert + AI code analysis
Get Started
Best Value

Complete Bundle

Both scans in one package with cross-referenced findings.

$29$38
  • Everything in both products
  • Cross-referenced findings
  • Unified action plan
Get Started

100% credited toward any paid service. Start with an audit, then let us fix what we find.

Frequently asked questions

Can I build a healthcare app with Sourcegraph Cody?

Sourcegraph Cody is a great starting point for a healthcare app. It handles the initial scaffolding well, but healthcare apps have specific requirements — hipaa-compliant data handling and access controls and minimum necessary rule — that need professional attention before launch.

What issues does Sourcegraph Cody leave in healthcare apps?

Common issues include: suggestions based on deprecated or low-quality code patterns found in the existing codebase, cross-repo context can leak patterns from one team's code into another team's service, security vulnerabilities in existing code recommended as reference implementations. For a healthcare app specifically, these issues are compounded by the need for hipaa-compliant data handling.

How do I make my Sourcegraph Cody healthcare app production-ready?

Start with our code audit ($19) to get a clear picture of what needs fixing. For most Sourcegraph Cody-built healthcare apps, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.

How much does it cost to fix a Sourcegraph Cody-built healthcare app?

Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger healthcare app projects, we provide a custom fixed quote after the audit — no hourly billing.

Get your Sourcegraph Cody healthcare app production-ready

Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.

Tell Us About Your App