Lynx: a new contender in cross-platform development?
Lynx could revolutionize cross-platform mobile development with its unique approach and performance benefits. Is it time to switch from React Native or Flutter?
Tooling
35 posts
Another early-stage SaaS founders dilemma: buy a pre-built app or build one from scratch
Should SaaS founders buy or build their MVP? We compare pre-built apps vs custom development across cost, time, scalability, and code quality — so you can choose the right foundation for your product.
🌶️ Why Native PHP shouldn’t exist
Building desktop apps with NativePHP misuses Laravel’s core strengths, creating potential security risks and practical limitations.
🌶️ SaaS startups should never use microservices. Like, never-ever.
Many SaaS startups over-engineer their architecture with microservices. Here's why that's usually a costly mistake—and what to do instead.
Should we really ship fast and break things?
Should startups test everything before shipping? We break down how to balance testing with product velocity—and why 100% coverage is often the wrong goal.
AI overdose: When developers stop thinking and start prompting
AI tools are reshaping how junior engineers approach problems, often replacing simple solutions with overly complex ones. Here’s why foundational thinking still matters. A real-life case of AI over-engineering gone wrong highlights why understanding problem domains still beats prompting.
Tech stack decisions for AI startups: what you need to know
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.
There is a time and place for everything: managed services vs DIY
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.
Revolutionising diagnosis: How large language models can drive a 10x change
Large language models (LLMs) transform problem-solving by enabling natural, iterative conversations, ideal for fields like healthcare and legal services. They scale expertise and accessibility but face challenges like reliability and cost.