Second opinion
Get a clear picture of what you're working with.
We perform targeted audits to uncover risks, performance bottlenecks, and architectural landmines - along with concrete steps to fix them.
Great for legacy systems, handoffs, bugs, and scaling moments · Typical engagement: 1-3 weeks
What you get
Outcomes you can expect from an engagement.
- An honest assessment of code quality, performance, and security posture.
- A prioritized, realistic plan for improving the codebase.
- Identification of quick wins versus deeper refactors.
- Improved confidence for investors, leadership, or new hires.
- Pinpointed and fixed issues that have cost companies tens of thousands of dollars a month.
A good fit if…
When this service tends to deliver the most value.
- Teams inheriting a legacy codebase or third-party build.
- Founders preparing for a significant hire, raise, or relaunch.
- Engineering leaders wanting a second set of eyes on a critical system.
How we work
A typical engagement from first call to launch.
- 01Context-gathering around product goals, constraints, and history.
- 02Codebase review across architecture, patterns, tests, and dependencies.
- 03Performance and security checks where relevant.
- 04Written report plus a walkthrough session with your team.
Typical stack
Common tools and platforms we use for this type of work.
Django / PythonNext.js / ReactReact NativePostgresDevOps / infra review (Docker, CI/CD, hosting).NET
Client impact
Clarity before committing to big technical decisions.
Code audits are usually triggered by a moment of risk: a raise, an acquisition, a key hire, or a planned rebuild. Our role is to provide a clear, honest picture of the current state and a prioritized path forward, so you can invest with confidence instead of guessing.
- One client uncovered a handful of architectural hotspots that were quietly driving outages—and fixed them before a major launch.
- A founder used our audit to negotiate scope and timeline with an external vendor, avoiding a costly rewrite.
- Engineering leaders have used our findings to sequence refactors alongside feature work, instead of halting delivery for months.