Brenden Cambier

Brenden Cambier

8 posts
Due diligence for AI startups: what actually matters

Due diligence for AI startups: what actually matters

Founders and investors due diligence: how to dig beneath the “AI-powered” facade and verify that their systems won’t break in secret.

Three cursors walk into a codebase

Three cursors walk into a codebase

A cautionary tale about interns, AI tools, and outsourcing delivering 80% of a project—leaving internal teams with the clean-up. Learn why shortcuts often come with hidden costs.

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.

Building the dream team for an AI startup

Building the dream team for an AI startup

Building an AI startup demands specialised roles like data scientists, engineers, and analysts to drive innovation. Discover what roles you need to hire first for a strong foundation to success.

Even ETL needs a roadmap

Even ETL needs a roadmap

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.

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.

How to explain your tech debt to your investors

How to explain your tech debt to your investors

Learn how to explain technical debt to investors effectively. This guide simplifies its impact on growth and strategies to manage it, helping you enhance company value and align business goals.

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