We reflect on the computational aspects that are embedded in life at the molecular and cellular level, where life machinery can be understood as a massively distributed system whose macroscopic behaviour is an emerging property of the interaction of its components. Such a relatively new perspective, clearly pursued by systems biology, is contributing to the view that biology is, in several respects, a quantitative science. The recent developments in biotechnology and synthetic biology, noticeably, are pushing the computational interpretation of biology even further, envisaging the possibility of a programmable biology. Several in-silico, in-vitro and in-vivo results make such a possibility a very concrete one. The long-term implications of such an “extended” idea of programmable living hardware, as well as the applications that we intend to develop on those “computers”, pose fundamental questions.