Oracle Cloud Infrastructure
Oracle Container Engine for Kubernetes
Jakarta EE
Node.js
OCI Resource Manager
OCI DevOps
OCI API Gateway
Oracle Autonomous Database
OCI Object Storage
OCI Vault
OCI Monitoring
Java
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Supported AI models on Workik
GPT 5.2, GPT 5.1 Codex, GPT 5.1, GPT 5 Mini, GPT 5, GPT 4.1 Mini
Gemini 3 Flash, Gemini 3 Pro, Gemini 2.5 Pro, Gemini 2.5 Flash
Claude 4.5 Sonnet, Claude 4.5 Haiku, Claude 4 Sonnet, Claude 3.5 Haiku
Deepseek Reasoner, Deepseek Chat, Deepseek R1(High)
Grok 4.1 Fast, Grok 4, Grok Code Fast 1
Models availability might vary based on your plan on Workik
Features
Standardize Java Enterprise Services
AI generates Spring Boot and Jakarta EE services aligned with OCI Compute, OKE, and Oracle Functions runtime requirements.
Design Around Autonomous Database
Generate database schemas, access layers, and query patterns optimized for Oracle Autonomous Database capabilities using AI.
Enforce Compartment Governance
AI creates OCI IAM policies, compartment mappings, & resource boundaries that reflect enterprise access and billing structures.
Maintain Predictable Delivery
Generate build pipelines, deployment configurations, and runtime settings using AI to ensure controlled, repeatable OCI releases.
TESTIMONIALS
Real Stories, Real Results with Workik
"It’s crazy how quickly Workik AI understands my Oracle Cloud setup and generates clean, production-ready code."
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Naveen Sharma
Full Stack Developer
"Our Oracle Cloud deployments run smoother now. The AI keeps everything optimized without us chasing issues."
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Harper Kim
DevOps Architect
"I use Workik AI to generate scripts and fix bugs on Oracle Cloud. It’s like having an extra teammate."
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Patricia Lozano
Software Engineer
What are the most common use cases for the Workik AI Oracle Cloud Code Generator?
Developers use Workik AI for a wide range of Oracle Cloud tasks, including but not limited to:
* Generating Terraform or OCI CLI scripts to automate infrastructure setup.
* Building and refactoring backend logic for Oracle Functions or Java microservices.
* Creating Docker or Kubernetes (OKE) configurations for containerized workloads.
* Writing and optimizing SQL or schema scripts for Oracle Autonomous Database.
* Debugging failed deployments or IAM permission issues using AI suggestions.
* Generating documentation for Oracle Cloud APIs and integrations.
* Automating repetitive setup and maintenance tasks using AI-powered pipelines.
What context-setting options are available for Oracle Cloud projects in Workik?
While adding context is optional, adding it helps AI personalize outputs to your setup. You can add:
* GitHub, GitLab, Bitbucket, Azure Devops integration — enables AI to access your live project.
* Languages, frameworks, and libraries like Java with Spring Boot or Node.js for Oracle Functions.
* Database schemas to help AI generate optimized queries for Oracle Autonomous Database.
* API blueprints or Postman collections for generating API endpoints and documentation.
* Code files and Terraform scripts to help AI understand existing infrastructure and extend it intelligently.
* Environment variables and configuration files like YAML or JSON to guide AI in generating deployment-ready Oracle Cloud setups
How does the Workik AI Oracle Cloud Code Generator help with Infrastructure as Code?
Workik AI generates Terraform or OCI CLI scripts for Oracle Cloud Infrastructure. It handles VCNs, compute instances, storage, and policies with clean, ready-to-deploy code. You can also define variables for dev, staging, or production, and AI will adjust your scripts to fit each environment seamlessly.
Can the Oracle Cloud Code Generator handle microservices or containerized applications?
Yes. Workik AI supports Docker and Kubernetes (OKE) deployments on Oracle Cloud. It can generate Dockerfiles, YAML manifests, and service configurations for multi-container microservice architectures — saving hours of setup work.
Can I generate or document Oracle Cloud APIs using AI?
Absolutely. Upload your API specs, blueprints, or Postman collections, and AI will generate API routes, endpoint logic, and documentation formatted for Oracle Functions or REST services — ideal for backend or integration developers.
What if I’m working with Oracle Autonomous Database or APEX?
AI can generate table schemas, stored procedure templates, and mock data for Oracle Autonomous Database. It also helps structure APEX applications by creating backend logic or UI scaffolds based on your data models.
How does AI improve debugging or troubleshooting in Oracle Cloud projects?
Workik AI identifies configuration errors, broken dependencies, or security misconfigurations in your Oracle Cloud setup. For example, if a Terraform script fails or an IAM policy blocks access, AI explains the issue and generates a fix instantly.
How does AI ensure performance optimization for Oracle Cloud applications?
AI reviews your Oracle Cloud app logic and recommends optimizations such as caching strategies, connection pooling, or improved database queries. It can also refactor inefficient code blocks in Java, Python, or Node.js for faster execution.
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