Delivery Hero built Herogen, an autonomous software delivery agent that picks up Jira tasks, writes code, runs tests, and reviews itself.The system uses Claude for coding and Gemini within a council of agents for code review and security checks, with Google Cloud Agent Platform and LiteLLM as the enterprise foundation.
Use case type
Coding assistants
Coding assistants support software development by generating, explaining, refactoring, or reviewing code. They address developer productivity challenges and help reduce time spent on routine programming tasks.
Use cases
12
Examples
12
Industries
7
Timeline
6 mo
Data updated 1 day ago
Adoption over time
Documented cases per month
By case publish month · completed months only
11 cases documented across 33 months (Nov 23 – Jul 26), peaking at 3 in November 2023.
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
Use cases of this type
10 shown from 12 use cases
Quench.ai used Google Cloud to build a scalable, cost-effective AI platform for employees to search across company tools and data in seconds.The company used Gemini 2.5 with Google AI Studio, Cloud Run, Cloud SQL, Memorystore, and Identity-Aware Proxy to prototype and deploy a custom debugging tool and other AI workflows.Quench.ai says the platform enables faster access to internal information and supports agentic AI development for onboarding and handover scenarios.
Availity, a large real-time health information network, used Amazon Q Business, Amazon Q Developer, and Amazon Q in QuickSight to improve access to enterprise knowledge, accelerate software development, and make data analysis faster across teams.The company faced scattered code and documentation across multiple repositories, which made it difficult for employees to find relevant information for release management, code reviews, and analytics.
BPC, a global payments solutions provider headquartered in Switzerland, used AWS to launch two generative AI solutions for internal teams and customers.The company built an intelligent customer support chatbot on Amazon Bedrock using retrieval-augmented generation over BPC data sources, and it also piloted Amazon Q Developer with software engineers to improve code generation and security scanning.
Verdent AI, an enterprise AI coding assistant, uses AWS services including Amazon Bedrock, Amazon RDS, Amazon ElastiCache, Amazon DocumentDB, Amazon EKS, Amazon ECR, Amazon CodeBuild, and Amazon CodeDeploy to support code generation, validation, testing, and deployment workflows.The solution uses an event-driven, multi-agent architecture for research, analysis, verification, linting, and test execution across software development, open-source maintenance, and DevOps automation.The article reports improved availability, reduced per-conversation cost, lower latency, and 10x concurrent capacity.
MicrosoftJul 20, 2025
UC San Diego integrates GitHub Copilot into programming courses to prepare students for AI-assisted development
The university integrated GitHub Copilot into selected programming courses.Faculty redesigned coursework so students worked without AI assistance on foundational assignments and used Copilot for larger projects.The curriculum also taught calibrated trust and evaluation of AI output, including correctness, quality, security, and maintainability.
MicrosoftMar 13, 2025
allpay boosts productivity by 10% with GitHub Copilot
allpay, a UK financial services provider, modernized its software delivery approach while migrating from on-premises and colocation infrastructure to Azure.The company adopted GitHub Copilot inside its IDE to help developers write code faster, understand legacy code, generate tests, and troubleshoot issues, while also using Microsoft cloud services for automation and support workflows.
GE Healthcare partnered with AWS to create generative AI models and applications specialized for healthcare use cases, including medical screenings, diagnostics, clinical decision support, and workflow automation.The collaboration leverages AWS infrastructure and the Amazon Q Developer tool, which provides real-time AI code suggestions to enhance internal developer productivity.The initiative aims to help hospitals and clinicians efficiently leverage complex and heterogeneous medical data, improving healthcare workflows and patient outcomes while ensuring no training on customer data.
MicrosoftNov 14, 2023
Siemens and Schaeffler introduce Industrial Copilot at SPS
Siemens and Schaeffler showcased their collaborative industrial copilot leveraging generative AI, at the SPS Trade Show. The copilot aids in engineering and operational workflows by translating natural language instructions into programmable logic controller (PLC) code. This AI-powered technology addresses workforce challenges, enabling less experienced employees to elevate their roles in technical production tasks. The solution integrates Siemens’ advanced automation technology while simplifying manufacturing processes using generative AI.
MicrosoftNov 3, 2023
KUKA Enhances Robotics Programming with Azure OpenAI-Powered iiQWorks.Copilot
KUKA wanted to reduce the complexity and time required for programming their robots to address a growing skills gap and accelerate project timelines.The iiQWorks.Copilot, built with Microsoft Azure OpenAI in Foundry Models and Azure AI Search, uses natural language to generate code and simulate robot workflows, supporting a broader range of users.The assistant is integrated into KUKA's iiQWorks simulation platform and runs in KUKA's own environment to help protect data and intellectual property.
Common questions
Coding assistants at a glance
- How many coding assistants use cases are documented?
- The AI Use Case Hub documents 12 real coding assistants deployments across 7 industries, with 12 detailed company examples you can browse.
- Which industries adopt coding assistants the most?
- Coding assistants is most common in Healthcare (25%), Manufacturing (17%) and Finance (17%).
- Which countries lead in coding assistants?
- United States leads documented coding assistants deployments, followed by Germany and United Kingdom.
- What technologies are used for coding assistants?
- Teams most often build coding assistants with Azure OpenAI, Amazon Q Developer and Amazon Bedrock.
- What AI capabilities power coding assistants?
- Across the documented deployments, the most common capability patterns are Agent (50%), Copilot (25%) and RAG (17%).
- What results do companies report from coding assistants?
- Across the 12 deployments reporting outcomes, companies most often cite new product / capability (75%), speed & agility (67%) and employee experience (42%). Where impact is quantified, the strongest evidence is in time & speed: a median −86.5% across 2 reported metrics.