Developers loathe testing. Multiple layers of integration coupled with difficult deployment rules mean that this once-simple process has become cumbersome. But despite its ‘unsexy’ reputation, testing is too important to ignore. This is especially true when we consider emerging technologies. The code base for a self-driving car will have no room for error
Our CEO Daniel recently wrote a piece for the Financial Times titled Subprime code: a very avoidable crisis.
In this article, Daniel responds to an earlier article in the FT, Are financial and cyber crises alike?
In summary, while the result can be similar, it’s the intent that is different. With technology, the challenge is not financial debt, but technical debt. And while financial institutions aspire to balance out their technical debt, they have mountains of legacy code that is more often than not misunderstood and mission critical. So finding errors and security holes in this code is becoming harder and harder.
While his article does not talk about Difflblue Cover, we have a unique AI driven product that handles legacy code and helps to get code covered. Head over to our product page or checkout our case study with Goldman Sachs.
We’ve got a product called Cover, so naturally we get asked a lot about unit test coverage. The reality is that many companies have set somewhat arbitrary or high goals on percentage coverage without understanding the impact and costs.
We’ve just launched a demo version of our product to give developers a quick way to get their hands on our product. Here I’d like to give a walkthrough of the key capabilities