MarcoDewey

8 ms·

91.
AI-driven development tools impact software observability(manoladadaforca.com.br)
1 points by MarcoDewey 1y ago|0 comments
92.
New study suggests scientists were wrong about dark streaks on Mars(cbsnews.com)
5 points by MarcoDewey 1y ago|1 comments
93.
Build economies where people collaborate with AI(universityworldnews.com)
1 points by MarcoDewey 1y ago|0 comments
94.
PR Bots as Code Sidekicks(jazzberry.ai)
1 points by MarcoDewey 1y ago|0 comments
95.
Researchers pioneer use of AI to reduce bias in sports scouting(techxplore.com)
2 points by MarcoDewey 1y ago|0 comments
96.
Affordable housing initiative aims to empower South Africans(iol.co.za)
6 points by MarcoDewey 1y ago|0 comments
97.
Reinforcement Learning for Symbolic Mathematics(arxiv.org)
7 points by MarcoDewey 1y ago|0 comments
98.
The Mouse Language, Running on Arduino(hackaday.com)
2 points by MarcoDewey 1y ago|0 comments
99.
A Guide to Prompting(jazzberry.ai)
2 points by MarcoDewey 1y ago|0 comments
100.
Benchmarking LLMs: A guide to AI model evaluation(techtarget.com)
1 points by MarcoDewey 1y ago|0 comments
101.
Optimal Pricing with Impatient Customers(arxiv.org)
1 points by MarcoDewey 1y ago|0 comments
102.
Unit Tests vs. Regression Tests(jazzberry.ai)
2 points by MarcoDewey 1y ago|0 comments
103.
AI-Driven Software: Why a Strong CI/CD Foundation Is Essential(thenewstack.io)
2 points by MarcoDewey 1y ago|0 comments
104.
Code Fast, Crash Hard: The Million-Dollar Quality Crisis(thenewstack.io)
3 points by MarcoDewey 1y ago|0 comments
105.
Pull request bots as code sidekicks(jazzberry.ai)
1 points by MarcoDewey 1y ago|0 comments
106.
Automated Authority: AI Algorithms(newamerica.org)
1 points by MarcoDewey 1y ago|0 comments
107.
by MarcoDewey 1y ago
Yes, we have caught some navigation bugs on the front end. There are some other really cool tools built explicitly for this, like QualGent and Operative.sh
108.
by MarcoDewey 1y ago
We are working daily on making Jazzberry better for larger teams and repositories. Our goal is to find deep, difficult bugs in large repos
109.
by MarcoDewey 1y ago
I also wish that I had more real world experience. It would help me a ton if I had 25 years of software testing experience. It sounds like you do have experience, and I would love to learn from you. It would be awesome if you could help us
110.
by MarcoDewey 1y ago
That is one of the obvious use cases. There are many others, you are welcome to install the bot and play around with it. I would love to hear your feedback.
111.
by MarcoDewey 1y ago
The bugs shown in the "real bugs" section are real output from the tool. Are you referring to looking at the full table of bugs that we return? Sometimes we only find one bug in the PR, sometimes our clients don't want us to
112.
Will AI Replace QA Teams(forbes.com)
3 points by MarcoDewey 1y ago|0 comments
113.
A Plutonian Landscape(apod.nasa.gov)
3 points by MarcoDewey 1y ago|1 comments
114.
220 Days of Images from the ISS(nytimes.com)
1 points by MarcoDewey 1y ago|0 comments
115.
The AI artist who refuses to lose himself(koreaherald.com)
2 points by MarcoDewey 1y ago|0 comments
116.
A Guide to Vibe Coding(jazzberry.ai)
1 points by MarcoDewey 1y ago|0 comments
117.
by MarcoDewey 1y ago
Correct, what is unique about LLMs is their ability to match an existing tool or practice to a unique problem.
118.
by MarcoDewey 1y ago
I definitely agree that there's a lot of research happening in this space, and the false positive issue is a significant hurdle. From my own research and experimentation, I have also seen how challenging it is to get LLM-powered tools
119.
How to use Python t-strings(infoworld.com)
3 points by MarcoDewey 1y ago|0 comments
120.
by MarcoDewey 1y ago
You are right that static linters are incredibly fast and efficient for catching certain classes of issues. Our focus with the dynamic sandbox execution is aimed at finding bugs that are much harder for static analysis to detect. These are

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