Selling bespoke features to customers might seem profitable, but it changes your SaaS business model. Instead of a scalable product, you become a service provider, stuck maintaining one-off features. Learn why this approach is risky and how to build for long-term success.
Selecting the right tech stack is critical for AI startups. Python is essential for data science, but the backend, frontend, and infrastructure choices determine scalability and efficiency. Explore the best tech stack combinations, hosting tools, and ETL solutions to future-proof your AI startup.
Forced API migrations without a rollback plan? That’s how businesses lose trust—and money.
Using ARG or ENV for secrets in Dockerfiles can expose sensitive credentials in your final image. Instead, use Docker BuildKit’s --secret to pass secrets securely at build time. Learn how to protect your Docker builds across CLI, Docker Compose, GitHub Actions, and GCP.
The best products aren’t built by obsessing over pixels but by delivering real value. Without a clear UI framework, teams drown in design tweaks instead of shipping features.
Adapting to a new tech stack is all about mindset. Switching from PHP to Python was an eye-opener. Package management confusion, unexpected paradigms, and a lack of encapsulation made for an interesting challenge. Embracing constraints is the secret to growth.
Should you avoid managed services to prevent lock-in? Maybe. However, spending months reinventing infrastructure instead of shipping features is a bigger risk. Balance is key. Know the trade-offs, understand the costs, and make decisions based on your reality.
Ever introduced a breaking change and instantly regretted it? Components evolve, but forcing users into painful refactors isn’t ideal. Next.js tackled this with a legacyBehaviour flag—letting devs opt out of the new behavior while they migrate at their own pace.
Startups thrive on rapid growth, but when it comes to scaling talent, they often hit a wall. Enterprise-style feedback systems sound great—until they become a productivity sink. So how can you build structured talent development without overcomplicating things?
