By EDWARD WONG from NYT World https://ift.tt/2tHG0HW
Thursday, February 28, 2019
How To-Do is integrating with more and more of the Microsoft ecosystem
Can Microsoft finally create a single task management system that covers everywhere users create tasks? So far, To-Do works with Outlook, Cortana, Skype and anything you can connect through Flow.
from Software on TechRepublic https://ift.tt/2Szhfrr
from Software on TechRepublic https://ift.tt/2Szhfrr
How To-Do is integrating with more and more of the Microsoft ecosystem
Can Microsoft finally create a single task management system that covers everywhere users create tasks? So far, To-Do works with Outlook, Cortana, Skype and anything you can connect through Flow.
from Articles on TechRepublic https://ift.tt/2Szhfrr
from Articles on TechRepublic https://ift.tt/2Szhfrr
New top story on Hacker News: Citizens allowed to sue on behalf of Lake Erie when it’s being polluted
Citizens allowed to sue on behalf of Lake Erie when it’s being polluted
90 by howard941 | 42 comments on Hacker News.
90 by howard941 | 42 comments on Hacker News.
New top story on Hacker News: Show HN: Little Automatic Racing Game in WebGL with Three.js and Oimo.js
Show HN: Little Automatic Racing Game in WebGL with Three.js and Oimo.js
3 by hvidevold | 5 comments on Hacker News.
3 by hvidevold | 5 comments on Hacker News.
New top story on Hacker News: Why Portland's Public Toilets Succeeded Where Others Failed (2012)
Why Portland's Public Toilets Succeeded Where Others Failed (2012)
43 by curtis | 30 comments on Hacker News.
43 by curtis | 30 comments on Hacker News.
New top story on Hacker News: Red Flags in Software Developer Job Descriptions
Red Flags in Software Developer Job Descriptions
93 by webappsecperson | 86 comments on Hacker News.
93 by webappsecperson | 86 comments on Hacker News.
New top story on Hacker News: Facebook wants up to 30% of fan subscriptions vs Patreon’s 5%
Facebook wants up to 30% of fan subscriptions vs Patreon’s 5%
93 by doppp | 56 comments on Hacker News.
93 by doppp | 56 comments on Hacker News.
New top story on Hacker News: Beyond Local Pattern Matching: Recent Advances in Machine Reading
Beyond Local Pattern Matching: Recent Advances in Machine Reading
58 by andreyk | 9 comments on Hacker News.
58 by andreyk | 9 comments on Hacker News.
New top story on Hacker News: Dow Jones’ watchlist of 2.4M high-risk clients has leaked
Dow Jones’ watchlist of 2.4M high-risk clients has leaked
152 by smallgovt | 36 comments on Hacker News.
152 by smallgovt | 36 comments on Hacker News.
New top story on Hacker News: Launch HN: Fuzzbuzz (YC W19) – Fuzzing as a Service
Launch HN: Fuzzbuzz (YC W19) – Fuzzing as a Service
145 by evmunro | 76 comments on Hacker News.
Hey HN, We’re Everest, Andrei and Sabera, the founders behind Fuzzbuzz ( https://fuzzbuzz.io ) - a fuzzing as a service platform that makes fuzzing your code as easy as writing a unit test, and pushing to GitHub. Fuzzing is a type of software testing that generates & runs millions of tests per day on your code, and is great at finding edge cases & vulnerabilities that developers miss. It’s been used to find tens of thousands of critical bugs in open-source software ( https://ift.tt/2fW71Bd ), and is a great way to generate tests that cover a lot of code, without requiring your developers to think of every possibility. It achieves such great results by applying genetic algorithms to generate new tests from some initial examples, and using code coverage to track and report interesting test cases. Combining these two techniques with a bit of randomness, and running tests thousands of times every second has proven to be an incredibly effective automated bug finding technique. I was first introduced to fuzzing a couple years ago while working on the Clusterfuzz team at Google, where I built Clusterfuzz Tools v1 ( https://ift.tt/2jAJEvW ). I later built Maxfuzz ( https://ift.tt/2IG5rDY ), a set of tools that makes it easier to fuzz code in Docker containers, while on the Coinbase security team. As we learned more about fuzzing, we found ourselves wondering why very few teams outside of massive companies like Microsoft and Google were actively fuzzing their code - especially given the results (teams at Google that use fuzzing report that it finds 80% of their bugs, with the other 20% uncovered by normal tests, or in production). It turns out that many teams don’t want to invest the time and money needed to set up automated fuzzing infrastructure, and using fuzzing tools in an ad-hoc way on your own computer isn’t nearly as effective as continuously fuzzing your code on multiple dedicated CPUs. That’s where Fuzzbuzz comes in! We’ve built a platform that integrates with your existing GitHub workflow, and provide an open API for integrations with CI tools like Jenkins and TravisCI, so the latest version of your code is always being fuzzed. We manage the infrastructure, so you can fuzz your code on any number of CPUs with a single click. When bugs are found, we’ll notify you through Slack and create Jira tickets or GitHub Issues for you. We also solve many of the issues that crop up when fuzzing, such as bug deduplication, and elimination of false positives. Fuzzbuzz currently supports C, C++, Go and Python, with more languages like Java and Javascript on the way. Anyone can sign up for Fuzzbuzz and fuzz their code on 1 dedicated CPU, for free. We’ve noticed that the HN community has been increasingly interested in fuzzing, and we’re really looking forward to hearing your feedback! The entire purpose of Fuzzbuzz is to make fuzzing as easy as possible, so all criticism is welcome.
145 by evmunro | 76 comments on Hacker News.
Hey HN, We’re Everest, Andrei and Sabera, the founders behind Fuzzbuzz ( https://fuzzbuzz.io ) - a fuzzing as a service platform that makes fuzzing your code as easy as writing a unit test, and pushing to GitHub. Fuzzing is a type of software testing that generates & runs millions of tests per day on your code, and is great at finding edge cases & vulnerabilities that developers miss. It’s been used to find tens of thousands of critical bugs in open-source software ( https://ift.tt/2fW71Bd ), and is a great way to generate tests that cover a lot of code, without requiring your developers to think of every possibility. It achieves such great results by applying genetic algorithms to generate new tests from some initial examples, and using code coverage to track and report interesting test cases. Combining these two techniques with a bit of randomness, and running tests thousands of times every second has proven to be an incredibly effective automated bug finding technique. I was first introduced to fuzzing a couple years ago while working on the Clusterfuzz team at Google, where I built Clusterfuzz Tools v1 ( https://ift.tt/2jAJEvW ). I later built Maxfuzz ( https://ift.tt/2IG5rDY ), a set of tools that makes it easier to fuzz code in Docker containers, while on the Coinbase security team. As we learned more about fuzzing, we found ourselves wondering why very few teams outside of massive companies like Microsoft and Google were actively fuzzing their code - especially given the results (teams at Google that use fuzzing report that it finds 80% of their bugs, with the other 20% uncovered by normal tests, or in production). It turns out that many teams don’t want to invest the time and money needed to set up automated fuzzing infrastructure, and using fuzzing tools in an ad-hoc way on your own computer isn’t nearly as effective as continuously fuzzing your code on multiple dedicated CPUs. That’s where Fuzzbuzz comes in! We’ve built a platform that integrates with your existing GitHub workflow, and provide an open API for integrations with CI tools like Jenkins and TravisCI, so the latest version of your code is always being fuzzed. We manage the infrastructure, so you can fuzz your code on any number of CPUs with a single click. When bugs are found, we’ll notify you through Slack and create Jira tickets or GitHub Issues for you. We also solve many of the issues that crop up when fuzzing, such as bug deduplication, and elimination of false positives. Fuzzbuzz currently supports C, C++, Go and Python, with more languages like Java and Javascript on the way. Anyone can sign up for Fuzzbuzz and fuzz their code on 1 dedicated CPU, for free. We’ve noticed that the HN community has been increasingly interested in fuzzing, and we’re really looking forward to hearing your feedback! The entire purpose of Fuzzbuzz is to make fuzzing as easy as possible, so all criticism is welcome.
New top story on Hacker News: Slang: language mechanisms for extensible real-time shading systems (2018) [pdf]
Slang: language mechanisms for extensible real-time shading systems (2018) [pdf]
10 by ingve | 1 comments on Hacker News.
10 by ingve | 1 comments on Hacker News.
New top story on Hacker News: Ask HN: How to be productive with big existing code base
Ask HN: How to be productive with big existing code base
134 by maheshs | 103 comments on Hacker News.
I have just started working with one of the client who have existing nodeJS code which they build in last 3 years. Is there any guiding principle which is beneficial while working with existing code base?
134 by maheshs | 103 comments on Hacker News.
I have just started working with one of the client who have existing nodeJS code which they build in last 3 years. Is there any guiding principle which is beneficial while working with existing code base?
Wednesday, February 27, 2019
New top story on Hacker News: Show HN: Discover what real locals eat all around the world
Show HN: Discover what real locals eat all around the world
6 by sandoche | 3 comments on Hacker News.
6 by sandoche | 3 comments on Hacker News.
New top story on Hacker News: Interview with Fritz Lang, Beverley Hills, August 12, 1972
Interview with Fritz Lang, Beverley Hills, August 12, 1972
3 by benbreen | 0 comments on Hacker News.
3 by benbreen | 0 comments on Hacker News.