Tooling

33 posts
Why Native PHP shouldn’t exist

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.

🌶️ 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 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 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

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

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

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.

A company's first steps in AI

A company's first steps in AI

Many product companies are eager to leverage tools like ChatGPT. But how do you go from experimenting to running in production? Let's explore choosing the right large language model (LLM) to understand hosting options, ensuring an efficient and sustainable AI implementation.

Instant feedback using the useOptimistic hook in React

Instant feedback using the useOptimistic hook in React

Implement optimistic updates in React with the useOptimistic hook for instant UI feedback. This technique enhances user experience by updating the interface immediately while the server processes actions in the background, creating a faster and more responsive app.

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