Search engine. For your codebase.
- A search engine working on your own source code
- Ask questions in natural language, get live answers from your source code
- AI-generated documentation
How companies are using Quod AI for their engineering teams
AI driven code analysis allows Quod AI to help engineer teams support the following needs
Onboarding
Accelerate time to productivity for new team members through real-time data driven documentation.
Knowledge Base
Our platform converts your codebase into Q&A that is discoverable and searchable and relevant.
Quality
Fix bugs more quickly driven by contextual code intelligence and code dependency mapping.
Frequently Asked Questions
Learn more about our solution and how we enable high performing engineering teams to do their best work
What are the general use cases of Quod AI?
Quod AI is a revolutionary platform aiming at disrupting the way developers search, think and communicate about code.
Some of our infinite use cases are:
Search Function - Support day-to-day development
Our search function enables developers to find what they are looking for instantly thanks to the code search. The query is for the first time in NATURAL LANGUAGE! This boost up the speed and productivity of their work.
Onboarding Engineers
New engineers in the company always have tons of question and do not know where to start in this million-codeline maze!
Quod AI is a personal assistant here 24/7 to help them! This reduces costs of onboarding while making it faster and smoother thanks to our contextual semantic search!
Collaboration
Have you ever been bothered by the hundreds of questions from your colleagues? Filter that out with Quod AI! The context given with each search and piece of code serves as contextual documentation. Empower everyone to be up-to-date with code and have the best understanding of it to leave room for greater discussions!
And many more!
How many topics does Quod AI understands?
Quod AI understands almost any topic of coding! Our various AI models are trained by our engineers and deliver the best of the knowledge. More topicality is added every day and the more we deploy Quod AI, the better it gets!
Subscribe for more news!
Is my code safe and secure?
No.
Just kidding. YES, it is safe and secure. Additionally, if you need to have complete control of your security, we offer an on-premise solution (hosted on your site or in your cloud).
That being said our hosted solution has state of the art security:
- Every connection is encrypted end to end.
- Our cloud platform is ISO 27001 and ISO 28001 certified.
- We undergo regular independent security audits.
- We are in the process of getting ISO 27001 certified.
- We don’t store source code, we only process it. None of our servers has a trace of private source code after processing.
Do you only support GitHub?
Yes, for the moment.
We are rolling integrations with GitLab and BitBucket on demand.
What programming languages does Quod AI support?
Today, we support: Javascript, Typescript and CSS.
In the next few months we will add support for several major programming languages: Java, Python, Go Lang, Ruby, C Sharp (.NET) and PHP.
We are just starting to disrupt the world!
What are the general use cases of Quod AI?
Quod AI is a revolutionary platform aiming at disrupting the way developers search, think and communicate about code.
Some of our infinite use cases are:
Search Function - Support day-to-day development
Our search function enables developers to find what they are looking for instantly thanks to the code search. The query is for the first time in NATURAL LANGUAGE! This boost up the speed and productivity of their work.
Onboarding Engineers
New engineers in the company always have tons of question and do not know where to start in this million-codeline maze!
Quod AI is a personal assistant here 24/7 to help them! This reduces costs of onboarding while making it faster and smoother thanks to our contextual semantic search!
Collaboration
Have you ever been bothered by the hundreds of questions from your colleagues? Filter that out with Quod AI! The context given with each search and piece of code serves as contextual documentation. Empower everyone to be up-to-date with code and have the best understanding of it to leave room for greater discussions!
And many more!
How many topics does Quod AI understands?
Quod AI understands almost any topic of coding! Our various AI models are trained by our engineers and deliver the best of the knowledge. More topicality is added every day and the more we deploy Quod AI, the better it gets!
Subscribe for more news!
How many languages are supported by Quod AI?
For now, Javascript is the language of Quod AI's competency. We are just starting to disrupt the world!
More languages will be added within the upcoming month and our ambition is to cover any language developers love! Stay tuned for more!
Follow us on social media for more news!
What top engineering leaders have to say about Quod AI
Enabling high performing engineering teams to do their best engineering work
“Each of our engineers use it 5+ times per day”
Nicolas E.,
CTO
"Your semantic search makes our team super efficient"
Xavier M.,
Head of Engineering
“This is phenomenal.”
Arul K.,
ex-VP of Engineering at Grab
Check out our Blog
Insights and content into the world of software engineering & developers!
June 3, 2020
Understanding Information Architecture for Developers
What is Information Architecture (IA)? How can it help developers find answers to internal questions more efficiently, and raise the productivity of engineering teams?
Read more
May 29, 2020
7 Practical Tips to Handover a Repo
Handing over a repository can be daunting—the task calls for speed, efficiency and accuracy. Increase the ease of onboarding and offboarding developers with these 7 practical tips.
Read more
March 24, 2020
The Context Behind Code
Contextual understanding of code using AI is the next significant opportunity to raise the bar on code quality and engineering productivity.
Read more
March 13, 2020
How QuodAI solves a major headache for software engineers
QuodAI targets companies that “have problems scaling their engineer team.” Newly hired engineers can find their fit quickly because the codebase has been turned into natural language...
Read more
March 14, 2020
Translating Source Code into Natural Language with AI
Software engineering collaboration is hard. Software engineers spend more than 70% of their time learning about their own team’s source code. The size, change & intricate dependencies...
Read more