See where DeepCode is having an impact on the emerging technologies and the global development community in Gartner’s latest Hype Cycles for Emerging Technologies 2020 as well as Open-Source Software 2020, both published this month July 2020. See a dedicated section at the end if you are not familiar with what Hype Cycles are.

The development workflow, DevOps, DevSecOps, SAST and all the other cool abbreviations are one of the hottest tech areas today as every single company, government or non-governmental organization, nowadays, is a tech entity with heavy reliance on software. …


Helping the developer to write his code but also to debug and test it, this is the ambition of many publishers and service companies. AI is increasingly asserting itself as a track to assist developers on a daily basis and allow them to develop more and better.

by Alain Clapaud Published on: June 16, 2020

auto-translation from the original source in French: https://www.lemagit.fr/actualites/252484744/Les-IA-sinvitent-sur-lecran-du-developpeur

Image for post
Image for post

While the developer remains a scarce commodity for companies, project managers would like to see their team members focus on developing new functions and reduce the time spent debugging what they wrote the day before. 20%, 30%, sometimes 50% of a developer’s time is taken up by tasks deemed to generate little value for the company. Artificial intelligence algorithms could have a role to play in tipping the scales toward the most creative tasks.

Harnessing AI to help developers isn’t entirely new. Microsoft developers are well aware of the IntelliSense function in Visual Studio. This auto-completion function offers the developer to complete his line of code while typing. With the 2018 edition of its Build conference, Microsoft has gone further by using Machine Learning to make this auto-completion a little smarter. The algorithm analyzes the code already written by the developer in order to broaden its recommendations. Called IntelliCode, the function offers AI-assisted auto-completion, but also learning about the developer’s own code (for C # developers only) and capabilities in terms of style…


source: https://betanews.com/2020/06/02/quality-over-speed-for-developers/
source: https://betanews.com/2020/06/02/quality-over-speed-for-developers/

2020: Automated Code Analysis Emerges as the Next Big Thing in Software Quality an amazing article by betanews reviewing the results of The State of Software Quality 2020 survey results.

My first reaction was: I love when random surveys confirm DeepCode (The Software Revolution) vision from 3–4 years ago. It great to see that the passion, thought-leadership, and hard work of the team have delivered a service that already benefits millions of developers and will help tens of millions more in the coming months and years.

My Top 3 results from the survey:

1. 70% of devs say software quality trumps delivery speed, yet critical production issues persist. I am tempted to add a reference point to highlight the sheer scale of production problems: “the [yearly] cost of poor-quality software in the US [was] approximately $2.84 trillion … on US GDP ($20.4 …


For the second year in a row, the DeepCode team is proud to receive the European’s Commission Seal of Excellence for Research and Innovation 2020.

Yet another attestation by an international panel of independent experts for the Deep Tech enabling the AI Software Revolution that DeepCode is leading.

Image for post
Image for post

In the Commission's own words:

“Following evaluation by an international panel of independent experts WAS SCORED AS A HIGH-QUALITY PROJECT PROPOSAL IN A HIGHLY COMPETITIVE EVALUATION PROCESS*

This means passing all stringent Horizon 2020 assessment thresholds for the 3 award criteria (excellence, impact, quality and efficiency of implementation) required to receive funding from the EU budget Horizon 2020.”

Best of congratulations to the whole team, all advisors supporters and users.


Image for post
Image for post
source:https://www.forbes.at/ki-liste-dach-2020.html

FORBES released its 2020 list of top 30 AI start-ups in the German-speaking part of the world (DACH). Base on the work of Dominik Meisinger from FORBES “in cooperation with Enlite.AI, a consulting and research company that supports companies in the use of AI.”

At DeepCode we are proud to make the list for the 2nd year in a row, as a testament to the dedication and passion of our growing team.

Switzerland #swisstech represents the country with the highest density of start-ups in the list, which speaks one more time about the concentration of talent and rapidly evolving ecosystem enabling rapid innovation. …


Image for post
Image for post

At DeepCode, we’re always focused on discovering important software bugs and being a tool that can improve and even replace testing. To get there, we need to discover semantic software defects and provide the conditions under which the defects are exposed. It is not enough to run a deep neural network that says something is wrong with the software: you also have to provide an explanation.

As part of those efforts, we have introduced a new AI technique called Ontology. With Ontology, we’ve integrated the capability to present logical conclusions directly in the DeepCode engine. Here’s how it works on some interesting examples (you’ll need a GitHub account to access them). In the first example, get is called on a possibly empty collection and this may return null and lead to a NullPointerException. …


What happens when computers program themselves?

Image for post
Image for post

Prof. Dr. M. Vechev spoke to the European Research Council’s ERC=Science² and the result is not only a great article about AI, but DeepCode appearing together with Elon Musk and Mark Cuban in the same article.

Full Article Link Below:


Image for post
Image for post

DeepCode is pleased to share that we are one of the top startups in Hello Tomorrow’s Global Top 500 Deep Tech startups in the Data & AI track.

The Global Challenge is the world’s biggest early-stage startup competition for science and deep technology startups. Startups are selected by a rigorous panel of industry experts, scientists, and entrepreneurs who reviewed over 4,500 applications from 119 countries, to select the projects that have the most potential. From this extremely competitive list, DeepCode managed to stand out and was selected.

The Global Challenge culminates at the Global Summit in Paris, an invite only-event bringing together the people that will change the world using science and technology around top investors in each sector, industry leaders, international media and influencers. DeepCode will be there, so do plan to visit us or set up a meeting. The Summit welcomes 3,000 of the brightest Deep Tech enablers including entrepreneurs, academics, investors and corporate executives. Over two days, the venue in Paris will become a nexus of Deep Tech innovation, empowering entrepreneurs to build a better tomorrow. …


10 Swiss startups to watch in 2018 and beyond

source: http://www.eu-startups.com/2018/08/10-swiss-startups-to-look-out-for-in-2018/ By Bojana Trajkovska August 22, 2018

Image for post
Image for post

Retaining its number-one spot in the Global Innovation Index for several years in a row, Switzerland is the home of a solid technology and startup ecosystem, based on friendly regulatory environment, impeccable education and vast funding opportunities. The world leader in the fields of pharmaceuticals, life sciences and banking continues to provide innovative products and services through its startups and innovation projects. Here are 10 of the most promising Swiss startups to watch in 2018 and beyond.


Source:https://www.analyticsindiamag.com/how-machine-learning-is-changing-the-software-development-paradigm/

Image for post
Image for post
Original source.

Can machine learning be used to accelerate the development of traditional software development lifecycle? As artificial intelligence and other techniques get increasingly deployed as key components of modern software systems, the hybridisation of AI and ML and the resultant software is inevitable. According to a research paper from the University of Gothenburg, AI and ML technologies are increasingly being componentised and can be more easily used and reused, even by non-experts. Recent breakthroughs in software engineering have helped AI capabilities to be effectively reused via RESTful APIs as automated cloud solutions.

The ML Impact

AI will play a key role in the design, creation and testing of software. According to a 2016 Forrester Research survey, AI can also help in code generation. The survey further revealed that if an AI software system is given a business requirement in natural language, it can write the code to implement it — or even come up with its own idea and write a program for it. For example, Microsoft’s Intellisense has been integrated with Visual Studio to enhance the developer experience. In fact, a 2017 State of Testing Survey revealed that testers will spend more time and their resources on testing mobile and hybrid applications, with the time spent on actual development shrinking. …

About

DeepCode AI

AI for Better Software: Identify bugs before they happen to fulfill developers’ true coding potential and deliver quality products, faster.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store