Authentication works, authorization is unclear
The login screen exists, but roles, tenants, permissions, admin paths, and data boundaries were never properly modeled.
AI-generated code audit, security review, and software rescue
AI can produce impressive code quickly. Senior engineers make it secure, maintainable, operable, and fit for real users. Jwtson Solutions helps teams rescue AI-built applications with human experience, security judgment, creativity, and production intuition.
Broken authorization
Cloud and secrets risk
Missing tests and audit logs
Brittle AI-generated architecture
Common gaps in vibe coded apps
Prompt-driven development can get a prototype moving fast, but production software needs hard-won engineering judgment: where attacks happen, where integrations fail, where users behave unpredictably, and where the business cannot afford ambiguity.
The login screen exists, but roles, tenants, permissions, admin paths, and data boundaries were never properly modeled.
API keys, service accounts, buckets, queues, and database access were wired quickly without least privilege or rotation planning.
Sensitive data flows through logs, prompts, exports, analytics, or third-party services without retention, privacy, or audit controls.
AI-generated code often covers the obvious path but misses failure modes, retries, concurrency, validation, and abuse cases.
The app grew through prompts, snippets, and quick fixes, but there is no durable domain model, integration strategy, or refactoring plan.
Dependency hygiene, input validation, audit logging, threat modeling, and infrastructure hardening were treated as later work.
Why human engineering still matters
Vibe coding can compress the distance between idea and demo. The gap between demo and dependable software still requires human experience, creativity, knowledge, intuition, taste, and ownership. That is where Jwtson Solutions comes in.
Domain judgment when requirements are ambiguous
Security intuition built from real failure modes
Creative architecture tradeoffs AI tools cannot own
Experience spotting gaps between a demo and a system
Accountability for code that must survive production
Communication with executives, users, auditors, and engineering teams
AI-generated code security review
Architecture and maintainability assessment
Authentication, authorization, and tenant boundary review
Prompt injection, data leakage, and AI workflow risk review
Cloud, DevOps, and infrastructure as code hardening
Serverless architecture and cloud-native modernization plan
Software rescue process
We focus on the work that reduces real risk: security, architecture, DevOps, cloud configuration, data flows, integrations, tests, and operational confidence.
01
We review the codebase, cloud footprint, data flows, dependencies, AI usage, integrations, and current production failure points.
02
We map authentication, authorization, tenant boundaries, sensitive data, prompt surfaces, external APIs, and likely attack paths.
03
We add tests, monitoring, rollback paths, CI/CD guardrails, secrets hygiene, and targeted fixes before deeper refactoring begins.
04
We reshape the brittle parts: domain models, permissions, integrations, data access, serverless patterns, infrastructure as code, and operational workflows.
05
We validate fixes with regression tests, security checks, review evidence, deployment controls, and clear owner handoff.
Practical remediation
We do not just produce a scary report. We help you decide what to fix first, what can wait, what should be rebuilt, and where AI code is already good enough to keep.
AI-generated code security review
Architecture and maintainability assessment
Authentication, authorization, and tenant boundary review
Prompt injection, data leakage, and AI workflow risk review
Cloud, DevOps, and infrastructure as code hardening
Serverless architecture and cloud-native modernization plan
Dependency, secrets, logging, and configuration review
Integration review for APIs, TIBCO, MuleSoft, queues, ETL, and legacy systems
Prioritized remediation roadmap with fixed-risk milestones
Vibe coded software FAQ
Vibe coded software is software created quickly through prompts, AI coding tools, snippets, and intuition without enough architecture, security review, testing, operational planning, or senior engineering ownership.
Yes, but not automatically. AI-generated code needs human review, threat modeling, tests, secure configuration, dependency checks, data-flow review, and production operations discipline before it should be trusted.
Common issues include broken authorization, insecure direct object access, exposed secrets, weak validation, dependency risk, overbroad cloud permissions, missing audit logs, prompt injection, data leakage, and poor tenant isolation.
Not by default. Jwtson Solutions starts with triage and risk ranking, then fixes the highest-impact security, architecture, DevOps, and data issues while preserving useful product work where it is sound.
This is for founders, product teams, enterprises, agencies, and regulated organizations that have an AI-built or rapidly coded application and need senior engineering help before launch, funding, audit, procurement, or scale.
Rescue the useful work. Fix the dangerous gaps.
Jwtson Solutions can help you find the risk, fix what matters, and move toward production with confidence.