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Technical debt is one of those problems that's easy to understand in the abstract and genuinely painful to manage in practice. Every software team knows what it is - the accumulated cost of shortcuts, quick fixes, and decisions that made sense in the moment but created future work. What's harder to internalize is how quickly it compounds. McKinsey research found that technical debt accounts for approximately 40% of IT balance sheets, with companies diverting an additional 10-20% of their technology budgets just to manage it.

Gleb Lesnikov has been developing the system behind Dodo Pizza, an international fast-food chain, since joining the company in 2015. Over the years, the local business turned into a company running over 1,600 restaurants. When Dodo expanded rapidly, Gleb had to take key technical decisions that allowed the company to scale and succeed. Looking back, he reflects on the period when the company moved to a microservices architecture and explains how he managed to solve problems that could have caused the company to collapse.

Adding captions to video at scale is a lot harder than it looks. The best video caption generation APIs have to handle accent diversity, timestamp drift, multilingual rendering, and real-time processing all at once, and most developers don't realize how challenging that gets until something breaks in production. After reviewing the leading platforms in this space, one thing became clear: the gap between a generic transcription tool and a purpose-built captioning API is huge. This guide covers five of the strongest options available right now, comparing their technical depth, pricing, and real-world fit.

The age of artificial intelligence is here, and it has already made many types of otherwise time-consuming tasks that much easier. For some, that includes building a website. Building a website from scratch takes some serious time (and talent, of course). While AI can't take all the creativity out of your hands, it can act as a tool to help you achieve the website's end result that much faster. Of course, overreliance is not the answer, though. So, to get it right, here's what you should know before you start building a website alongside AI.

As companies continue to modernise legacy systems, replace rigid SaaS platforms, and adopt AI-powered workflows, picking the right software development provider has become more important than ever. The best custom software development companies don't just write code. They help companies reduce operational complexity, improve efficiency, and build scalable software that delivers long-term value. But, picking the right ones can often be tricky.

Healthcare organizations face increasing pressure to modernize. Patients expect convenient digital experiences, clinicians need tools that reduce administrative work, and healthcare providers must comply with strict regulations while protecting sensitive data. Whether you're building a patient portal, telemedicine platform, EHR integration, or AI-powered diagnostic solution, choosing the right development partner can influence your project's success for years.

Most articles about outsourcing web development read like a sales brochure: cheaper, faster, done. That's not wrong, exactly - it's just incomplete. Handing part of your codebase and your deploy pipeline to an outside team is a real trade-off, not a free win, and the teams that get burned by it usually aren't the ones who chose to outsource. They're the ones who never sat down and weighed the upsides against the risks before settling on a web development outsource partner. This piece is that conversation - the benefits worth taking seriously, the risks that actually bite, and what to do about both.