Rob Bell

Adopting InnerSource at ASOS

InnerSource is the practice of taking lessons learnt from the Open-Source community and applying them to the way we develop software within an organisation. In essence, it involves opening up our codebases to all of our teams, accepting contributions and encouraging community-driven development, and it’s something we’ve been trialling in Commerce Digital Tech at ASOS during the last year. Here are our findings.


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Compose/Collide, Tweeting Machines and Projected Spaces

Over the last few years I’ve collaborated with sound artist, Jerry Fleming, on several projects. I’ve written code to support some of Jerry’s ideas and most recently worked with him to build an installation piece that was on display at the Natural History Museum and later the V&A museum.

Projected Spaces

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Sleepless in south-east London: Surviving your first hackathon

About a month after joining ASOS as an engineer and full of fresh-faced naivety, I willingly signed up to join a team taking part in the RetailWeek TechSprint – a 24-hour hackathon aimed at creating innovation for online retail. Armed with my laptop, a toothbrush and a loose grasp of the latest front-end frameworks, I set off for the InterContinental hotel at the O2 for a day and night of programming, pitching and perseverance. These are the things I learnt.

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A beginner's guide to Big O Notation

Big O notation is used in Computer Science to describe the performance or complexity of an algorithm. Big O specifically describes the worst-case scenario, and can be used to describe the execution time required or the space used (e.g. in memory or on disk) by an algorithm.

Anyone who’s read Programming Pearls or any other Computer Science books and doesn’t have a grounding in Mathematics will have hit a wall when they reached chapters that mention O(N log N) or other seemingly bizarre syntax. Hopefully this article will help you gain an understanding of the basics of Big O and Logarithms.

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