Fans pick 100 books like Design for Safety

I love pattern languages. And Team Topologies brings patterns for team types and their interactions. Most importantly, they address fundamental problems of the software industry: how teams organise for fast flow, and how teams cope with cognitive load. The book steams from the author's experience in the DevOps community, and it is widely used across the world. Last but not least, Team Topologies give us a language that support organisation evolution.

My journey in the world of software development has been arduous and challenging.

One of the common struggles we all face is the overwhelming number of solutions available, making it impossible to fully grasp everything at a deep level.

Just when I thought I had mastered an approach and felt competent in it, a new shiny approach would emerge, demanding my immediate attention. It often felt like a never-ending race to keep up with the ever-evolving field.

This constant pursuit of staying relevant as a software engineer can be frustrating, as it feels like we are always lagging behind the rapidly advancing world. I discovered that knowledge of specific technologies, frameworks, or libraries does not easily transfer across different technology stacks. They are too specific and lack universality. It was then that I turned my focus to more general principles of software engineering.

I realized that there are fundamental engineering… show more.

In my quest (you can also call it a professional career), I’m drawn to complexity since we create software for complex problems. There are books on Complexity Science; however, they are very academic. This particular book gives practical advice to cope with complexity. It acknowledges the balance between the emotional and rational sides and why we must bring our full-self to any aspect of our life. The “don’t be emotional, this is work” proves to be a threat to our mental well-being and kills innovation in a company. In the book, the authors explore how to listen to our bodies in the face of complexity in an accessible way.

Accelerate is a book about data. The authors used data collected during their PhD projects in order to prove The DevOps is effective.

They have all sorts of different ways to measure DevOps, it sufficiency, and the fact that way more projects succeed when you do DevOps, rather than waterfall methodology.

The book essentially show can be used as evidence of return on investment when modernizing your IT department. I am a person who loves data, and thus I absolutely love this book. Also, if you listen to the audiobook version, one of the authors reads it to you and her personality really shines through in a fun way.

I really enjoyed listening to Nicole read a book about to me about data!

This is the first volume of a two-volume, tour de force, which jointly offers 29 specially written papers by major contributors to the field that broadly explore the genesis of technological change and the ways it is commercialized and diffused.

It is an invaluable source of literature surveys of the many different areas covered within the definition of the economics of innovation and also provides predictions of fruitful research directions.

Having myself edited a Handbook some years earlier I know both the time and effort involved but also the extent of knowledge dissemination that a book such as this can provide.

Future Politics takes the conversation to the societal level, looking at how technology will change the fabric of our communities. Susskind brings an expert eye to a sweeping body of knowledge and resists simple narratives. This book is dense, but worth the effort for those looking to understand the dynamics that will shape society as we know it, for better and for worse.

Susskind is a scholar of history and politics and brings that love of fundamental political questions to this work. I enjoy how he anchors modern questions about the implications of technology for freedom, for example, in much older debates about freedom and the State.

Lee covers and connects two of my favorite topics, creativity, and technology. From the facts and truths of technology to the role models play in creativity (looking at how early philosophers suggested modeling thought), he argues that computers are not universal machines and that their power comes from their partnership with humans.

The evolution of the mind is not over yet!

Clark is a philosopher and shows with wit and many great examples how our minds evolved to be a tight meshing between our brains, bodies, and the environment. In this account, our human endowment is to naturally absorb technologies, whether as simple as a stick or as complex as the internet, into our thinking and so warp and expand our consciousness and our capacity for thought.

So much discussion of artificial intelligence is about what computers will do better than humans or instead of humans. This book explodes the whole notion: intelligence has always been artificial, and the most interesting questions are about how we’re going to use technology to think. Onwards!

This excellent book provides a detailed history of technology and employment during the Industrial Revolution and up to the present. It is very well-researched and provides many useful insights.

For example, although the term ‘Luddite’ is often used negatively to describe those resistant to technology, the real Luddites were justified in their concerns as they were ultimately displaced due to automation. People were even put to death because they destroyed some of the new machines.

One of the main ways AI might affect our lives is in terms of employment, or rather, a lack of employment.

Frey empowers us to have a greater understanding of previous technological innovations and how they affected workers so that we are able to have more nuanced opinions on the matter. 

Diamandis’ book is one of hope, sort of like applying Kurzweil’s futurism to pure business. And like his friend Kurzweil, the author’s enthusiasm is contagious: one emerges from this book ready to march forth and change the world.

Peter insists that while we may look back at the successes of Zuckerberg or Musk, the best is yet to come; that looking back a few decades from now, people will think: “this was a formidable time to set out and start a business”.

Indeed that was the case at the first stages of every industrial revolution, and the 4th should bear no different. Unless entrepreneurship is suffocated by Big Tech incumbents and overly cautious regulators.