AI Code Review & Auditing
AI-AssistedLet AI find the bugs your team missed.
Code quality directly impacts security, maintainability, and total cost of ownership — yet manual code reviews are time-consuming, inconsistent, and often focus on style rather than substance. Our AI-powered code review service analyzes your codebase systematically: identifying security vulnerabilities, performance bottlenecks, maintainability issues, and architectural problems that human reviewers frequently miss. Every finding comes with severity classification, concrete fix examples, and clear explanations of why it matters.
How We Work
We scan your codebase for security vulnerabilities mapped to the OWASP Top 10 and beyond: injection flaws, broken authentication, sensitive data exposure, XML external entities, broken access control, security misconfiguration, cross-site scripting, insecure deserialization, and known vulnerable dependencies. Our analysis goes deeper than automated scanners — AI-powered review understands code context, tracing data flows from user input through processing to output, identifying vulnerabilities that pattern-matching tools miss. Every finding includes the specific vulnerable code, an exploitation scenario, and a tested fix.
What You Get
A comprehensive code quality report covering security, performance, and maintainability. Analysis of problematic patterns: excessive cyclomatic complexity, dead code, code duplication, inconsistent naming, missing error handling, and inadequate logging. Metrics benchmarked against industry standards for your technology stack. Performance anti-pattern detection: N+1 query problems, missing database indexes, unnecessary memory allocations, synchronous operations that should be asynchronous. Architectural health evaluation including test coverage quality assessment — identifying low-value tests while highlighting critical untested paths.
Technologies & Tools
We use a combination of static analysis security testing (SAST) tools, code quality platforms, and AI-powered code analysis models. Support for all major programming languages — Python, JavaScript/TypeScript, Java, C#, Go, Ruby, PHP, and more. Dependency scanning tools check your libraries against known vulnerability databases. Custom analysis rules can be configured for your organization's coding standards. Results are delivered in formats compatible with popular development tools and CI/CD pipelines for seamless integration into your workflow.
Who Is This For
Development teams that want an independent, objective assessment of their codebase quality. Organizations preparing for security certification or compliance audits that require code-level evidence. Companies inheriting codebases through acquisition or vendor transition. Teams dealing with legacy code that has accumulated technical debt. Engineering leaders who want metrics-driven visibility into code health across projects. A prioritized list of improvements focuses on the changes that deliver the most value per engineering hour invested.
Key Highlights
- OWASP Top 10 vulnerability detection with contextual analysis
- Technical debt quantification with prioritized remediation plan
- Performance anti-pattern detection with optimization guidance
- Code complexity metrics benchmarked against industry standards
- Test coverage quality assessment — not just quantity, but value
- Concrete fix examples for every finding — ready to implement
Why ESKOM.AI?
Let AI find the bugs your team missed.
AI-Assisted Code Analysis
AI agents scan source code for security vulnerabilities, anti-patterns, duplication, and performance issues — faster and more broadly than manual review.
Architecture & Pattern Review
Not just lines of code — we evaluate architecture, layer separation, dependency management, and adherence to design patterns.
Prioritized Report
Findings classified by criticality — from security blockers to technical debt. Each with a remediation recommendation.
Test & Coverage Verification
We assess the quality of existing tests, code coverage, and identify untested areas — especially critical business paths.
Practical Recommendations
Not academic remarks, but concrete, actionable changes with code examples. We help your team improve, not just criticize.
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