TechCrunch
OCTOBER 25, 2022
Will your organization and your code pass technical due diligence when it’s your turn? Let’s start with the positives: If an investor is proceeding with technical due diligence (TDD), you’ll likely pass. Here’s the not-so-good news: Companies can pass the business test, but fail TDD.
CIO
MARCH 12, 2024
Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.
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Henrik Warne
DECEMBER 13, 2021
There seems to be an established truth in programming that code reviews find a lot of bugs. An example is chapter 18 (Modern Code Review ) in the book Making Software. This is however not my experience – I rarely find outright bugs when reviewing changes. But I still think code reviews are useful.
Erik Bernhardsson
DECEMBER 12, 2023
You can of course make a series of obviously bad decisions, but you'd get fired quickly. Make sure production environment differs from developer environments in as many ways as possible. Leverage any production issue as a reason to “pull the brakes” Introduce very complex processes for code change and common workflows.
OverOps
AUGUST 19, 2019
What’s the difference between static and dynamic code analysis, and how do you know which to use? Static code analysis is analogous to practicing your baseball swing with a practice net and a pitching machine. Static Code Analysis. These include common developer errors which are often found by “Code Peer Reviews”.
TechCrunch
APRIL 25, 2023
But dealmaking is idiosyncratic: a few investors might be content to make a deal over coffee, but early-stage teams still need a sturdy pitch deck or memo they can leave behind. And if you’ve added “AI” to your pitch deck only to make it more appealing, here’s some more bad news: FOMO is passé, and due diligence is the new black.
Honeycomb
SEPTEMBER 20, 2023
Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. In theory , all software is debuggable. There is a much longer list of things that make software less than 100% debuggable in practice.
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