The Copilot for Ada programming language project aimed to research and develop a proof-of-concept code completion tool and evaluate its performance on the Ada code generation task. Its idea is to boost Ada software developers’ productivity by providing intelligent code completions and suggestions, improving the pace of task automation, and saving significant amounts of time on repetitive and boilerplate code.
deepsense.ai: Copilot for Ada programming language to boost developer productivity
Explore our journey with deepsense.ai to enhance Ada development: Access the case study here
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Customer
deepsense.ai specializes in providing cutting-edge AI solutions tailored to enterprises and mid-sized companies. With a focus on driving forward-thinking approaches, we collaborate with global leaders to optimize their products and services while delivering additional value to their customers. Since 2014 we have successfully delivered over 200 AI projects, engaging with organizations such as Zebra Technologies, Sky, Volkswagen, Brainly, Hexagon, Getinge, Johnson & Johnson, Hitachi, AdaCore, LogicMonitor, Juniper, Whirlpool, L’Oréal, Nielsen, Nvidia, Intel, Google and many more.
Challenge
How can we boost the productivity of Ada software developers? We teamed up with deepsense.ai to create a proof-of-concept copilot solution for the Ada programming language.
Solution
deepsense.ai quickly delivered a Proof of Concept for a code completion tool using a state-of-the-art technological stack, including the newest available LLMs and libraries.
Results and Benefits
The co-pilot for the Ada programming language project aimed to enhance Ada developer productivity with an intelligent code completion tool. deepsense.ai overcame challenges in LLM evaluation, training, and data resource constraints through problem decomposition and choosing the suitable evaluation scheme. The project marked significant progress for AdaCore in leveraging ML efforts to improve Ada developers' productivity.