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Introduction Technical debt, the silent killer of startup agility, is more than just messy code. It's the implied cost of rework caused by choosing an easy solution now instead of a better approach that would take longer. For a startup CTO, ignoring it is like borrowing from a
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Demystifying the System Design Interview: What to Expect in a FAANG Interview Before diving into complex architectural patterns, it's crucial to understand the fundamentals of the system design interview (SDI). This chapter lays the groundwork, defining what these interviews entail at FAANG and other top-tier tech companies, their
Software Outsourcing
Your CFO loves fixed-price contracts. They fit perfectly into a Q3 budget spreadsheet. You know exactly what you are spending. You have a signed piece of paper promising a specific set of features on a specific date. It feels safe. It is actually the riskiest way to build software. In
Technical Debt
You look at your product’s codebase and you don’t recognize it. It was built quickly. You hired three different top-rated freelancers from a popular platform over the last year. They were affordable and available immediately. At first, features shipped fast. Now, development has ground to a halt. Your
Strategic Scaling
For early-stage startups, the allure of serverless architecture (like AWS Lambda) is undeniable. It promises a frictionless entry into the market: zero upfront server costs, infinite scalability, and the seductive mantra of "pay only for what you use." For a founder watching their burn rate, it feels like
Fractional CTO
How to Scale Engineering Leadership Without the C-Suite Price Tag You have a vision. You have a budget. You might even have a few talented freelance developers. But six months in, you hit a wall. Features are delayed, the app is crashing under load, and your developers are waiting days
Use Case
Scheduling breaks when it starts with guesswork. Healthcare teams feel this every week. Hospitals need schedules that respect rest rules, balance shifts, and still cover every department. Managers need something simple. Staff need something fair. Most tools fail at one of those. We built Oplist to fix that. Our team
Use Case
Cloud-based workforce scheduling that auto-generates fair, compliant shift plans and streamlines operations for hospitals and clinics. The Challenge The client needed a modern, scalable scheduling platform that could respect complex healthcare constraints—post-shift rest, balanced distribution, department-level needs—while remaining easy for managers and staff to use. Our Solution Our