ETL (Extract, Transform, Load) is vital for data-heavy businesses but often begins with manual workflows. Companies should identify inefficiencies, prioritise automation, and design a scalable ETL roadmap that integrates human reviews and evolves with business growth.
Learn about the importance of SBOMs and software licensing for your SaaS startup.
How to manage technical debt effectively to keep startups agile with strategies for documenting and prioritising technical debt, integrating it into your roadmap, and creating a culture of continuous improvement. Keep your codebase healthy and your team productive with these actionable tips.
Discover strategies to optimise developer onboarding, minimise costs, and improve time-to-market. Learn how to tackle challenges like code complexity, technical stack adaptation, knowledge transfer, and team integration while fostering a supportive and productive environment for new hires.
Auditing startups goes beyond the technical at madewithlove. Here are key lessons to help startups secure funding and scale effectively. From creating better communication and documentation to balancing technical debt and leadership, discover the insights that can shape your startup's future.
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.
Labels like "junior" and "senior" often fail to capture a developer's true value. True impact comes from initiative, ownership, and proactive contribution—not just years of experience. We value "pull developers" who actively seek improvement, ensuring the product's success beyond assigned tasks.
A technical moat is often seen as a product's defensive edge, but does every product really need one? For AI products, the choice between building proprietary tech or leveraging existing solutions like OpenAI is complex. True value lies in solving customer problems—not just in owning the technology.
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.
