Technical Audits, Code Reviews & System Rescue in Australia
JDML audits applications, infrastructure, AI systems, and security posture for Australian businesses that need a clear view of risk before scaling further. Code reviews, cloud and delivery assessments, scraping exposure analysis, and rescue work for rapidly assembled AI-assisted apps that need to become stable, tested, maintainable products.
When to get an audit
The most common triggers: you're about to raise capital and need to know what technical debt you're carrying, you've had production incidents that cost you clients or revenue, you've used AI coding tools to ship quickly and aren't sure what's underneath, or your cloud costs are growing faster than your revenue. An honest audit is cheaper than the alternative.
What we look at
A typical JDML audit covers codebase structure, test coverage, dependency risk, secrets management, deployment practices, observability and alerting, Google Cloud configuration, cost efficiency, and any AI-specific concerns like model evaluation, prompt injection surface, or agent guardrail gaps. We produce a prioritised remediation plan, not a list of observations that leave you wondering what to do next.
Rescue for AI-assisted builds
AI coding tools have accelerated shipping dramatically, but many AI-assisted codebases have structural issues that are invisible until they cause a production failure: missing tests, brittle integrations, no error handling, hardcoded credentials, or architectures that made sense for a one-person sprint but don't hold up under load. We've rescued several of these and turned them into stable, well-tested products.
- →Codebase, architecture, and delivery audits
- →Cloud infrastructure and deployment reviews
- →Security and threat-surface assessments
- →Scraping resilience and anti-bot exposure reviews
- →Reliability, performance, and cost audits
- →Test coverage gaps and hardening plans
- →Rescue of AI-assisted MVPs and internal tools
- →Refactoring plans from prototype to production
Fragile MVPs and internal tools before they become bigger problems
Teams with cloud spend, reliability, or security concerns
Leadership teams needing an honest view of code, infrastructure, and delivery risk
Questions we get.
How long does a typical audit take?
A focused codebase or infrastructure audit typically takes three to five days and produces a written report with a prioritised remediation plan. Broader engagements covering code, infra, security, and delivery take one to two weeks.
Can you audit AI systems specifically?
Yes. We audit AI systems for evaluation quality, prompt injection surface, guardrail gaps, cost efficiency, and operational monitoring. AI-specific risks are different from standard software risks and most auditors aren't equipped to assess them.
What happens after the audit?
We produce a prioritised remediation plan. You can action it yourselves, we can help with the high-priority items, or we can take on a full rescue engagement if the scope warrants it. There's no obligation to use us for the remediation work.
Ready to get started?
Tell us about your project. We reply within 24 hours, always from the engineers.
Get in touch