One‑Week Tech Audit That Saved Our Product

Bluell ABBluell AB
4 min read

I’ll never forget Monday morning…

Sarah, our lead dev, burst into my home office (well, Zoom room) shouting, “Our staging API is crawling, eight-second page loads!

My heart sank…

We’d been ignoring little performance blips for weeks, and now the whole product was on the brink.

Most teams would delay an audit until they had “enough time”, but we didn’t.

We only had seven days to find and fix every critical issue. So we huddled, set a clear goal, and got to work.

By Friday, response times had dropped from eight seconds to 250 milliseconds.

By Monday, users noticed the difference, and our launch went off without a hitch.

If you keep reading, you’ll discover exactly how we did it:

  • How we carved out seven intense days to audit code, security, performance, and UX

  • The simple tools and checks that revealed hidden bottlenecks

  • The fixes that made our product stable again, fast

Stick with me, and you’ll have a ready-to-go blueprint for a one-week tech audit, no matter how small your team is.

About halfway through Tuesday, we needed clarity. Our code felt messy, and performance was slipping.

So Raj ran static analysis tools (ESLint for JavaScript, SonarQube for Java).

In just an hour he flagged 120 problems, unused code, risky patterns, and missing tests.

We shored up our codebase that afternoon:

  • Cleaned up dead code to remove confusion

  • Wrote unit tests for critical payment and session routes, boosting coverage from 55% to 85%

  • Upgraded three vulnerable libraries before hackers could exploit them

With those quick wins, our code felt healthier, and Raj’s changes cut our risk of unpredictable bugs.

Wednesday was all about speed…

Sarah fired up New Relic and ran a JMeter load test simulating 500 users.

Halfway through, our user profiles endpoint lagged at two seconds.

Meanwhile, Node.js profiling revealed a sneaky memory leak in our session middleware.

Within hours, we:

  • Rewrote two slow SQL queries with proper indexing

  • Tweaked Redis caching so sessions loaded instantly

  • Adjusted garbage collection settings to prevent memory pileups

That evening, our key endpoints responded in under 250 ms, even under load. Seeing that metric drop felt like a shot of adrenaline.

By Thursday, Maya grabbed her coffee and dove into security.

She followed the OWASP Top 10 checklist and found our CORS policy wide open.

Anyone could send requests from any domain.

She fixed that in minutes by limiting CORS to our app’s domain.

Then she checked AWS:

  • S3 buckets were public, so she locked them down with fine-grained IAM roles

  • Secrets were hardcoded, so she moved everything into AWS Secrets Manager and updated our CI/CD to pull them securely

I remember thinking: “We almost lost our whole database because of that CORS slip.”

But Maya’s quick actions closed those doors before dark.

Friday was infrastructure day…

Our CI/CD pipeline was a disaster, with flaky builds, random test failures.

Maya reconfigured our GitHub Actions to run linting and tests only on pull requests, boosting pipeline success from 70% to 95%.

Then she tweaked Kubernetes:

  • Adjusted pod resource limits so we stopped losing pods to OOM kills

  • Rewrote Prometheus alerts so only critical issues hit Slack (no more 3 AM noise)

By evening, our deployments felt bulletproof. No more heart-attack-inducing deploys at 9 PM.

Saturday I tackled the front end. Our React bundle was a whopping 1.8 MB, no wonder our homepage scored 40/100 on Lighthouse.

I split our code into smaller chunks so the initial load was under 300 KB.

Then I deferred analytics scripts so interactive elements showed up in under one second.

Seeing that improvement in real time reminded me how much impact small tweaks can have.

Sunday morning, we gathered one last time for a simple check-in:

  • Did we hit our goals? Yes, API latency under 300 ms, test coverage above 80%, critical security gaps closed, and front-end performance skyrocketing.

  • Did we miss anything? Raj pointed out a minor issue in our payment flow tests. We spent an hour fixing it, no sweat.

  • Are we ready to ship? Leadership saw our before-and-after metrics and gave the green light.

By Monday, the updated product went live. No more slow pages. No more user complaints. Our NPS jumped by 12 points that week.

What you can do right now:

  • Block off a week. Get everyone focused, no distractions.

  • Run quick code health checks. Linters and coverage tools reveal surprising problems.

  • Profile early and often. Tools like New Relic and JMeter pinpoint slow spots.

  • Secure everything. Check CORS, lock buckets, and move secrets to a manager.

  • Streamline deployments. Fix your CI pipeline and tune Kubernetes pods.

  • Optimize the front end. Split bundles, defer scripts, and fix accessibility.

Our one-week sprint paid off big time.

We rescued our launch, saved the product, and learned that, with focus and the right tasks, you can fix serious issues in days, not months.

If you need to pull off a fast, life-saving audit, grab this playbook and adapt it to your stack.

You’ve got this…

I've published this article on Medium, and I'm sharing it here for educational and informational purposes only.

https://medium.com/@BluellAB/one-week-tech-audit-that-saved-our-product-db11dcb67b43

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Bluell AB
Bluell AB