KOHO, a Canadian fintech, built Kortex AI to embed generative AI across internal workflows while maintaining strict data privacy and governance.The solution gives employees and developers secure access to large language models for research, coding assistance, meeting preparation, regulatory compliance, and operational analysis.KOHO uses the platform to improve productivity, accelerate suspicious transaction report processing, and speed up security operations.
Use case type
Code assistant
This category uses AI to help developers write, review, explain, or modify code and related technical tasks. It helps reduce routine coding effort and supports faster software delivery.
Use cases
31
Examples
31
Industries
10
Timeline
14 mo
Data updated 1 day ago
Adoption over time
Documented cases per month
By case publish month · completed months only
26 cases documented across 37 months (Jul 23 – Jul 26), peaking at 10 in May 2026.
1 earlier case before Jul 23 not shown
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 31 use cases
Tabnine uses Google Cloud to power its AI solution that provides code guidance to accelerate and improve developers’ daily workflows.The company’s goal is to deliver a top-to-bottom AI-assisted development workflow for code creators across languages, from concept through completion.Tabnine developed machine learning models for code suggestions and autocomplete, and it runs the service for more than 1 million users in near real time.
Availity is the nation’s largest real-time health information network.The company uses Amazon Q Developer in engineering workflows to improve developer efficiency, code quality, and secure development across multiple projects.
Vercel is a developer platform for building dynamic websites and AI-powered products, and its AI SDK is integrated with Amazon Bedrock.The v0 assistant lets users generate code and UI components from natural-language prompts, helping developers and designers build full-stack applications faster.Vercel built v0 on top of its AI SDK to provide a chat interface, agentic execution primitives, and type-safe message/tool handling for AI applications.The platform scales inference on Amazon Bedrock and uses AWS Lambda alongside Vercel edge capabilities to support low-latency execution and global response times.The article reports broad adoption of v0 and significant productivity and performance gains for customers and developers.
Mondelēz International is modernizing its cloud engineering environment and using Amazon Q Developer to help scale developer onboarding and productivity. The company expanded the tool from a small pilot to its full engineering organization so teams could use it in daily workflows.The AWS implementation is governed by an internal AI review board, encryption keys for sensitive data, centralized configuration that disables training for outside use cases, and monitoring by engineering leaders. The article also describes Mondelēz building an internal MCP for interacting with Amazon Q Developer and internal systems, including infrastructure-as-code repositories and observability platforms.
May 27, 2026
GWM Modernizes Security Compliance Development with Amazon Q Developer on AWS China (Ningxia)
GWM modernized its security compliance system for multi-cloud governance across 14 global cloud environments by migrating the system to AWS China (Ningxia).The security team used Amazon Q Developer to refactor the development workflow, generate code in multiple languages, and support a security left-shift approach for earlier issue detection.The new architecture includes scanner data collection, analyzer risk detection, and tenant-isolated reporting, supported by Amazon Kinesis, Amazon Aurora MySQL, Amazon OpenSearch Service, Amazon EKS, and AWS Graviton4.
bolttech is a global insurtech operating across 35+ markets in Asia, Europe, North America, and Africa.The company distributes tailored insurance and protection products through a B2B2C model and uses AWS to support rapid product onboarding at scale.As bolttech grew, its developer and engineering teams faced productivity challenges while trying to onboard new products quickly.bolttech provided developer teams access to Amazon Q Developer to accelerate development and improve engineering productivity.The goal was to deliver products faster and keep supporting tailored insurance/protection distribution at scale.
GCPMay 22, 2026
DZ BANK modernizes developer environment with Google Cloud Workstations and Gemini Code Assist
DZ BANK AG, a leading German financial institution, modernized its developer environment by migrating from on-premises virtual machines to Google Cloud Workstations.The implementation provided pre-configured, secure cloud-based environments, customizable base images with IDEs and extensions, automated provisioning with Terraform, and AI code assistance with Gemini to improve productivity and security.
May 13, 2026
Boomi uses Amazon Q Developer to boost engineering productivity and improve service availability
Boomi is an integration-platform-as-a-service provider that used Amazon Q Developer to reduce repetitive work in software development and help developers focus on higher-value product innovation.The company piloted the tool with a 20-developer team for code writing, context-aware documentation, and unit testing, then rolled it out to 445 developers through hackathons and AWS Solutions-Focused Immersion Days.
BT Group, a telecommunications company in the United Kingdom, implemented Amazon Q Developer to improve its software engineering workflows.The company used the tool for in-console chat, code transformation, inline feedback, and unit test generation to reduce time spent searching for best practices, writing tests, and maintaining older code.BT Group worked with a dedicated AWS team on adoption through training, hackathons, licenses for active contributors, and tailored engagement by business unit.
Common questions
Code assistant at a glance
- How many code assistant use cases are documented?
- The AI Use Case Hub documents 31 real code assistant deployments across 10 industries, with 31 detailed company examples you can browse.
- Which industries adopt code assistant the most?
- Code assistant is most common in Tech & Comms (32%), Professional Services (13%) and Finance (13%).
- Which countries lead in code assistant?
- United States leads documented code assistant deployments, followed by United Kingdom and Germany.
- What technologies are used for code assistant?
- Teams most often build code assistant with Amazon Q Developer, Amazon Bedrock AgentCore and Amazon Bedrock.
- What AI capabilities power code assistant?
- Across the documented deployments, the most common capability patterns are Agent (48%), Copilot (26%) and Multi-agent (13%).
- What results do companies report from code assistant?
- Across the 31 deployments reporting outcomes, companies most often cite new product / capability (87%), speed & agility (87%) and risk & compliance (45%). Where impact is quantified, the strongest evidence is in time & speed: a median −62.5% across 6 reported metrics.