Deep review of codebase, performance, security & system design.
Technical audits get requested for many reasons: a company is considering acquiring a product and needs to understand what they're actually buying, a team has inherited a codebase from a previous development team and needs to understand its condition before investing further, a product that used to grow well has become harder and harder to maintain and someone needs to understand why, or there are performance or security concerns that keep surfacing without a clear root cause. In every case, the goal is the same: replace uncertainty with a clear, honest picture of the technical state of the system.
A good technical audit is not a list of things that were done wrong. It's a structured understanding of the system that lets you make informed decisions about what to invest in next. Some of what we find in audits is genuinely fine for the current stage of the product. Some of it needs attention soon. Some of it needs immediate action. Understanding which is which — and why — is what makes the audit actionable.
Code quality assessment isn't about counting style violations or enforcing a particular coding style. It's about whether the code is understandable, maintainable, and correctly structured for its purpose. We look at whether the architecture makes sense for the product's current scale and complexity, whether the codebase is organized in a way that allows multiple developers to work on it without constantly stepping on each other, whether business logic is properly separated from infrastructure concerns, and whether there are obvious anti-patterns that will cause problems as the codebase grows.
We also look at test coverage — not just the number, but whether the tests are actually testing the right things. A high test coverage number achieved by testing implementation details rather than behavior gives false confidence. We assess whether the test suite would catch regressions in the behavior that matters most and whether it runs fast enough to be a practical part of the development workflow.
Database issues are one of the most common sources of both correctness problems and performance problems in web applications. We review the schema design for normalization issues, missing relationships, data type choices that cause problems at scale, and design decisions that make common queries harder than they should be. We review indexes — which indexes exist, whether they're the right ones for the actual query patterns, and whether there are missing indexes that are causing slow queries.
We look at query patterns in the application code: N+1 query problems where a page that shows ten items runs eleven database queries instead of two, queries without appropriate filtering that scan full tables, missing pagination on queries that return unbounded result sets, and transactions that hold locks for longer than necessary. Each of these is a specific, fixable problem, and we describe exactly what it is and how to fix it.
Security vulnerabilities in web applications fall into well-understood categories, and most applications have at least some of them. We check for SQL and NoSQL injection vulnerabilities, authentication and session management weaknesses, authorization failures that allow users to access or modify data belonging to other users, sensitive data exposure in API responses or logs, misconfigured HTTP security headers, CSRF vulnerabilities in forms, and dependency vulnerabilities in third-party packages with known CVEs.
Beyond the technical vulnerabilities, we look at operational security: how secrets and credentials are managed, whether production and development environments are properly isolated, what access controls exist on production systems, and whether there's an audit trail for sensitive operations. These operational security issues are often more consequential than the individual code-level vulnerabilities because they represent systemic exposure rather than isolated issues.
Performance problems that matter are the ones visible to users: slow page loads, unresponsive interactions, timeouts under load. We identify these by profiling actual requests rather than reviewing code in the abstract. We look at which queries are slowest, which endpoints have the longest response times, where the bottlenecks are under load, and what the frontend performance looks like in terms of Core Web Vitals.
Performance analysis includes reviewing the caching strategy — whether expensive operations are cached appropriately, whether cache invalidation is correct, whether the CDN is being used effectively for static assets. It also includes reviewing the infrastructure sizing to confirm that performance problems are actually software issues rather than resource constraints that would be resolved by scaling up.
Third-party dependencies are a source of both security vulnerabilities and maintenance burden. We review the dependency list for packages with known security vulnerabilities, packages that are significantly out of date, packages that are no longer maintained, and unnecessary dependencies that could be removed. We also look at the dependency update process — whether there's a mechanism for staying current with security patches and whether the project has the test coverage to make dependency updates safe to perform.
Infrastructure assessment covers how the application is deployed, how the deployment process works, what monitoring and alerting is in place, how backups are configured and tested, what the disaster recovery procedure is, and whether the infrastructure is documented. A product that works well but can only be deployed by one person who knows a set of undocumented manual steps has a serious operational risk that's separate from the code quality.
The audit deliverable is a written report — structured as an executive summary, then detailed findings organized by category, each with a severity rating (critical, high, medium, low), a description of the issue and its implications, and a specific recommendation for remediation. We present this in a meeting to walk through the findings, answer questions, and clarify anything that needs it. The report is written for both technical and non-technical stakeholders — technical enough to be actionable, clear enough to inform business decisions.
How long does a technical audit take? For a typical web application, two to four weeks from access to delivered report. Complex multi-service architectures or very large codebases take longer. We scope the audit based on what you need to understand and what decisions you need to make.
Do we need to share production access? We work with read-only access to the codebase and infrastructure where possible. For performance analysis, we sometimes need query logs or profiling data from production, but we never need write access to production systems.
What do we do with the findings? That depends on the severity and your priorities. Critical findings typically need immediate attention. High-severity findings should be addressed in the next development cycle. Medium and low findings are inputs to your technical roadmap to be addressed as bandwidth allows.
Tell us what you're trying to understand about the system and what decisions depend on it. We'll scope the audit to answer those specific questions efficiently.
Technical audits get requested for many reasons: a company is considering acquiring a product and needs to understand what they're actually buying, a team has inherited a codebase from a previous development team and needs to understand its condition before investing further, a product that used to grow well has become harder and harder t…
Code quality assessment isn't about counting style violations or enforcing a particular coding style. It's about whether the code is understandable, maintainable, and correctly structured for its purpose.
Database issues are one of the most common sources of both correctness problems and performance problems in web applications. We review the schema design for normalization issues, missing relationships, data type choices that cause problems at scale, and design decisions that make common queries harder than they should be.
Security vulnerabilities in web applications fall into well-understood categories, and most applications have at least some of them.
Codebase review, Performance analysis, Security assessment, Architecture evaluation, Database review.
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