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  • Quick start
  • Highlights
    • Release notes
      • Release notes 2025
        • May
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        • February
        • January
      • Release notes 2024
        • December
        • November
        • October
        • September
        • August
          • Connectors release 08/20/2024
        • July
        • June
        • May
        • April
        • March
        • February
        • January
      • Release notes 2023
        • December
        • November
        • October
        • September
        • August
        • July
        • June
        • May
        • April
        • March
        • February
        • January
      • Release notes 2022
        • December
        • November
        • October
        • September
        • August
        • July
        • June
        • May
        • April
        • March
        • February
        • January
      • Release notes 2021
      • Release notes 2020
    • AI Pair Programmer
    • Digibeectl
      • Getting started
        • How to install Digibeectl on Windows
      • Digibeectl syntax
      • Digibeectl operations
  • Digibee in action
    • Use Cases in Action
      • Improving integration performance with API pagination
      • Automating file storage with Digibee
      • Reprocessing strategy in event-driven integrations
      • Key practices for securing sensitive information in pipelines with Digibee
      • OAuth2 for secure API access
      • Secure your APIs with JWT in Digibee
      • Integration best practices for developers on the Digibee Integration Platform
      • How to use Event-driven architecture on the Digibee Integration Platform
      • Dynamic file download with Digibee
      • Microservices: Circuit Breaker pattern for improving resilience
      • Error handling strategy in event-driven integrations
    • Troubleshooting
      • Integration guidance
        • How to resolve common pipeline issues
        • How to resolve Error 409: “You cannot update a pipeline that is not on draft mode”
        • How to resolve the "Pipeline execution was aborted" error
        • Integrated authentication with Microsoft Entra ID
        • How to resolve the "Failed to initialize pool: ONS configuration failed" error
        • How to perform IP address mapping with Progress database
        • How to build integration flows that send error notifications
        • How to send logs to external services
        • How JSONPath differs in connectors and the Execution panel
        • Using JSONPath to validate numbers with specific initial digits
        • How to analyze the "Network error: Failed to fetch" in the Execution panel
        • How to handle request payloads larger than 5MB
        • How to configure Microsoft Entra ID to display groups on the Digibee Integration Platform
        • How to build an HL7 message
      • Connectors behavior and configuration
        • Timeout in the Pipeline Executor connector
        • How to use DISTINCT and COUNT in the Object Store
        • Understanding @@DGB_TRUNCATED@@ on the Digibee Integration Platform
        • How to resolve names without a DNS - REST, SOAP, SAP (web protocols)
        • How to read and write files inside a folder
        • AuthToken Reuse for Salesforce connector
        • How to resolve the "Invalid payload" error in API Integration
        • Supported databases
          • Functions and uses for databases
      • Connectors implementation and usage examples
        • Google Storage: Usage scenarios
        • DB V2: Usage scenarios
        • For Each: Usage example
        • Template and its uses
        • Digibee JWT implementation
        • Email V1: Usage example (Deprecated)
      • JOLT applications
        • Transformer: Getting to know JOLT
        • Transformer: Transformations with JOLT
        • Transformer: Add values to list elements
        • Transformer: Operations overview
        • Transformer: Date formatting using split and concat
        • Transformer: Simple IF-ELSE logic with JOLT
      • Platform access and performance tips
        • How to solve login problems on the Digibee Integration Platform
        • How to receive updates from Digibee Status Page
        • How to clean the Digibee Integration Platform cache
      • Governance troubleshooting guidance
        • How to consume Internal API pipelines using ZTNA
        • How to use Internal API with and without a VPN
        • How to generate, convert, and register SSH Keys
        • mTLS authentication
          • How to configure mTLS on the Digibee Integration Platform
          • FAQs: Certificates in mTLS
        • How to connect Digibee to Oracle RAC
        • How to connect Digibee to SAP
        • How to connect Digibee to MongoDB Atlas using VPN
        • How to manage IPs on the Digibee Integration Platform
        • Configuring the Dropbox account
        • How to use your Gmail account with the Digibee email component (SMTP)
        • How to use the CORS policy on the Digibee Integration Platform
      • Deployment scenarios
        • Solving the “Out of memory” errors in deployment
        • Warning of route conflicts
    • Best practices
      • Best practices for building a pipeline
      • Best practices on validating messages in a consumer pipeline
      • Avoiding loops and maximizing pipeline efficiency
      • Naming: Global, Accounts, and API Keys
      • Pagination tutorial
        • Pagination tutorial - part 1
        • Pagination tutorial - part 2
        • Pagination tutorial - part 3
        • Pagination tutorial - part 4
      • Pagination example
      • Event-driven architecture
      • Notification model in event-driven integrations
      • OAuth2 integration model with Digibee
      • Best practices for error handling in pipelines
    • Digibee Academy
      • Integration Developer Bootcamp
  • Reference guides
    • Connectors
      • AWS
        • S3 Storage
        • SQS
        • AWS Secrets Manager
        • AWS Athena
        • AWS CloudWatch
        • AWS Elastic Container Service (ECS)
        • AWS Eventbridge
        • AWS Identity and Access Management (IAM)
        • AWS Kinesis
        • AWS Kinesis Firehose
        • AWS Key Management Service (KMS)
        • AWS Lambda
        • AWS MQ
        • AWS Simple Email Service (SES)
        • AWS Simple Notification System (SNS)
        • AWS Security Token Service (STS)
        • AWS Translate
      • Azure
        • Azure CosmosDB
        • Azure Event Hubs
        • Azure Key Vault
        • Azure ServiceBus
        • Azure Storage DataLake Service
        • Azure Storage Queue Service
      • Enterprise applications
        • SAP
        • Salesforce
        • Braintree
        • Facebook
        • GitHub
        • Jira
        • ServiceNow
        • Slack
        • Telegram
        • Twilio
        • WhatsApp
        • Wordpress
        • Workday
        • Zendesk
      • File storage
        • Blob Storage (Azure)
        • Digibee Storage
        • Dropbox
        • FTP
        • Google Drive
        • Google Storage
        • OneDrive
        • SFTP
        • WebDav V2
        • WebDav (Deprecated)
      • Files
        • Append Files
        • Avro File Reader
        • Avro File Writer
        • CSV to Excel
        • Excel
        • File Reader
        • File Writer
        • GZIP V2
        • GZIP V1 (Deprecated)
        • Parquet File Reader
        • Parquet File Writer
        • Stream Avro File Reader
        • Stream Excel
        • Stream File Reader
        • Stream File Reader Pattern
        • Stream JSON File Reader
        • Stream Parquet File Reader
        • Stream XML File Reader
        • XML Schema Validator
        • ZIP File
        • NFS
      • Flow
        • Delayer
      • Google/GCP
        • Google BigQuery
        • Google BigQuery Standard SQL
        • Google Calendar
        • Google Cloud Functions
        • Google Mail
        • Google PubSub
        • Google Secret Manager
        • Google Sheets
      • Industry solutions
        • FHIR (Beta)
        • Gupy Public API
        • HL7
        • HubSpot: Sales and CMS
        • Mailgun API
        • Oracle NetSuite (Beta)
        • Orderful
        • Protheus: Billing and Inventory of Cost
      • Logic
        • Block Execution
        • Choice
        • Do While
        • For Each
        • Retry
        • Parallel Execution
      • Queues and messaging
        • Event Publisher
        • JMS
        • Kafka
        • RabbitMQ
      • Security
        • AES Cryptography
        • Asymmetric Cryptography
        • CMS
        • Digital Signature
        • JWT (Deprecated)
        • JWT V2
        • Google IAP Token
        • Hash
        • Digibee JWT (Generate and Decode)
        • LDAP
        • PBE Cryptography
        • PGP
        • RSA Cryptography
        • Symmetric Cryptography
      • Structured data
        • CassandraDB
        • DB V2
        • DB V1 (Deprecated)
        • DynamoDB
        • Google Big Table
        • Memcached
        • MongoDB
        • Object Store
        • Relationship
        • Session Management
        • Stored Procedure
        • Stream DB V3
        • Stream DB V1 (Deprecated)
        • ArangoDb
        • Caffeine Cache
        • Caffeine LoadCache
        • Couchbase
        • CouchDB
        • Ehcache
        • InfluxDB
      • Tools
        • Assert V2
        • Assert V1 (Deprecated)
        • Base64
        • CSV to JSON V2
        • CSV to JSON V1 (Deprecated)
        • HL7 Message Transformer (Beta)
        • HTML to PDF
        • Transformer (JOLT) V2
        • JSLT
        • JSON String to JSON Transformer
        • JSON to JSON String Transformer
        • JSON to XML Transformer
        • JSON to CSV V2
        • JSON to CSV Transformer (Deprecated)
        • JSON Path Transformer V2
        • JSON Path Transformer
        • JSON Transformer
        • Log
        • Pipeline Executor
        • QuickFix (Beta)
        • SSH Remote Command
        • Script (JavaScript)
        • Secure PDF
        • Store Account
        • Template Transformer
        • Throw Error
        • Transformer (JOLT)
        • Validator V1 (Deprecated)
        • Validator V2
        • XML to JSON Transformer
        • XML Transformer
        • JSON Generator (Mock)
      • Web protocols
        • Email V2
        • Email V1 (Deprecated)
        • REST V2
        • REST V1 (Deprecated)
        • SOAP V1 (Deprecated)
        • SOAP V2
        • SOAP V3
        • WGet (Download HTTP)
        • gRPC
    • Triggers
      • Web Protocols
        • API Trigger
        • Email Trigger
        • Email Trigger V2
        • HTTP Trigger
        • HTTP File Trigger
          • HTTP File Trigger - Downloads
          • HTTP File Trigger - Uploads
        • REST Trigger
      • Scheduling
        • Scheduler Trigger
      • Messaging and Events
        • Event Trigger
        • JMS Trigger
        • Kafka Trigger
        • RabbitMQ Trigger
      • Others
        • DynamoDB Streams Trigger
        • HL7 Trigger
        • Salesforce Trigger - Events
    • Double Braces
      • How to reference data using Double Braces
      • Double Braces functions
        • Math functions
        • Utilities functions
        • Numerical functions
        • String functions
        • JSON functions
        • Date functions
        • Comparison functions
        • File functions
        • Conditional functions
      • Double Braces autocomplete
  • Development cycle
    • Build
      • Canvas
        • AI Assistant
        • Smart Connector User Experience
        • Execution panel
        • Design and Inspect Mode
        • Linter: Canvas building validation
        • Connector Mocking
      • Pipeline
        • How to create a pipeline
        • How to scaffold a pipeline using an OpenAPI specification
        • How to create a project
        • Pipeline version history
        • Pipeline versioning
        • Messages processing
        • Subpipelines
      • Capsules
        • How to use Capsules
          • How to create a Capsule collection
            • Capsule header dimensions
          • How to create a Capsule group
          • How to configure a Capsule
          • How to build a Capsule
          • How to test a Capsule
          • How to save a Capsule
          • How to publish a Capsule
          • How to change a Capsule collection or group
          • How to archive and restore a Capsule
        • Capsules versioning
        • Public capsules
          • SAP
          • Digibee Tools
          • Google Sheets
          • Gupy
          • Send notifications via email
          • Totvs Live
          • Canvas LMS
        • AI Assistant for Capsules Docs Generation
    • Run
      • Run concepts
        • Autoscalling
      • Deployment
        • Deploying a pipeline
        • How to redeploy a pipeline
        • How to promote pipelines across environments
        • How to check the pipeline deployment History
        • How to rollback to a previous deployment version
        • Using deployment history advanced functions
        • Pipeline deployment status
      • How warnings work on pipelines in Run
    • Monitor
      • Monitor Insights (Beta)
      • Completed executions
        • Pipeline execution logs download
      • Pipeline logs
      • Pipeline Metrics
        • Pipeline Metrics API
          • How to set up Digibee API metrics with Datadog
          • How to set up Digibee API metrics with Prometheus
        • Connector Latency
      • Alerts
        • How to create an alert
        • How to edit an alert
        • How to activate, deactivate or duplicate an alert
        • How to delete an alert
        • How to configure alerts on Slack
        • How to configure alerts on Telegram
        • How to configure alerts through a webhook
        • Available metrics
        • Best practices about alerts
        • Use cases for alerts
      • VPN connections monitoring
        • Alerts for VPN metrics
  • Connectivity management
    • Connectivity
    • Zero Trust Network Access (ZTNA)
      • Prerequisites for using ZTNA
      • How to view connections (Edge Routers)
      • How to view the Network Mappings associated with an Edge Router
      • How to add new ZTNA connections (Edge Routers)
      • How to delete connections (Edge Routers)
      • How to view routes (Network Mapping)
      • How to add new routes (Network Mapping)
      • How to add routes in batch for ZTNA
      • How to edit routes (Network Mapping)
      • How to delete routes (Network Mapping)
      • How to generate new keys (Edge Router)
      • How to change the environment of Edge routers
      • ZTNA Inverse Flow
      • ZTNA Groups
    • Virtual Private Network (VPN)
  • Platform administration
    • Administration
      • Audit
      • Access control
        • Users
        • Groups
        • Roles
          • List of permissions by service
          • Roles and responsibilities: Governance and key stakeholder identification
      • Identity provider integration
        • How to integrate an identity provider
        • Authentication rules
        • Integration of IdP groups with Digibee groups
          • How to create a group integration
          • How to test a group integration
          • How to enable group integrations
          • How to edit a group integration
          • How to delete a group integration
      • User authentication and authorization
        • How to activate and deactivate two-factor authentication
        • Login flow
      • Organization groups
    • Settings
      • Globals
        • How to create Globals
        • How to edit or delete Globals
        • How to use Globals
      • Accounts
        • Configuring each account type
        • Monitor changes to account settings in deployed pipelines
        • OAuth2 Architecture
          • Registration of new OAuth providers
      • Consumers (API Keys)
      • Relationship model
      • Multi-Instance
        • Deploying a multi-instance pipeline
      • Log Streaming
        • How to use Log Streaming with Datadog
    • Governance
      • Policies
        • Security
          • Internal API access policy
          • External API access policy
          • Sensitive fields policy
        • Transformation
          • Custom HTTP header
          • CORS HTTP header
        • Limit of Replicas policy
    • Licensing
      • Licensing models
        • Consumption Based model
      • Capacity and quotas
      • License consumption
    • Digibee APIs
      • How to create API credentials
  • Digibee concepts
    • Pipeline Engine
      • Digibee Integration Platform Pipeline Engine v2
      • Support Dynamic Accounts (Restricted Beta)
    • Digibee Integration Platform Dedicated SaaS
      • Digibee Integration Platform architecture on Dedicated Saas model
      • Requirements for Digibee Dedicated Saas model
      • Site-to-Site VPN for dedicated SaaS customer support
      • Dedicated Saas customer responsibilities
      • Custom Images of Kubernetes Nodes
      • Digibee Dedicated SaaS installation on AWS
        • How to install requirements before installing Digibee Integration Platform on EKS
        • Permissions to use Digibee Integration Platform on EKS
        • How to create custom nodes for EKS (Golden Images)
    • Introduction to ZTNA
  • Help & FAQ
    • Digibee Customer Support
    • Request documentation, suggest features, or send feedback
    • Beta Program
    • Security and compliance
    • About Digibee
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On this page
  • Overview
  • How it works
  • Proactive assistance
  • On-demand assistance
  • Key benefits
  • Higher productivity
  • Enhanced code quality
  • Knowledge sharing
  • Improved problem-solving
  • Features and capabilities

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  1. Highlights

AI Pair Programmer

Learn more about what the AI Pair Programmer is on the Digibee Integration Platform.

PreviousRelease notes 2020NextDigibeectl

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Overview

AI Pair Programmer is an innovative approach that revolutionizes the development process by providing developers with an AI-powered assistant specifically designed to increase their productivity and efficiency. AI acts as a real-time co-developer, proactively providing assistance, suggesting code improvements, and automating routine tasks throughout the development process.

Whether you are planning, building, testing, or deploying your project, AI Pair Programmer provides valuable insights, optimizes workflows, and helps resolve potential issues before they arise. By seamlessly integrating into your development environment, AI not only accelerates your progress, but also increases your expertise, makes complex tasks more manageable and improves the overall outcome of the project.

How it works

Our AI Pair Programmer solution is designed to fit seamlessly into the developer's workflow, providing both proactive and reactive assistance throughout the entire integration development journey.

The AI acts as a collaborative partner, offering insights and solutions without having to be explicitly prompted. This ensures that developers are always one step ahead. By supplementing developers' actions with contextual suggestions, optimizing workflows, and integrating best practices, the AI not only helps complete tasks, but also promotes continuous learning by educating developers along the way.

The AI Pair Programmer interacts with the user in two ways: through proactive assistance by anticipating the user's needs and automatically offering help at critical touchpoints, and through reactive assistance by responding to user-initiated requests in chat whenever they need it.

Proactive assistance

Proactive assistance is provided throughout the entire journey. The AI takes the initiative at critical touchpoints to identify challenges and provide timely support. Some examples of assistance include:

  • Guidance and recommendations: the AI can anticipate challenges and opportunities and provides best practices, architecture recommendations, and warnings of potential risks before they become problems.

  • Automated task execution: the AI can proactively automate routine tasks such as code generation and error detection, reducing manual effort and speeding up the development process.

  • Real-time optimization: during development, the AI can suggest optimal configurations, design patterns, and performance improvements, helping to streamline workflows and improve results.

On-demand assistance

On-demand assistance is always available throughout the journey. Users can request help at any time using the integrated chat. The AI responds immediately and provides the necessary assistance exactly when and where it is needed, ensuring that developers can overcome obstacles and continue working smoothly. Some examples of assistance are:

  • Support: developers can ask for assistance at any time and receive immediate help with tasks such as debugging, testing, and performance optimization.

  • Knowledge-based guidance: the AI provides contextual information and best practices when developers are faced with complex decisions, enabling them to make informed choices.

  • Issue resolution: When issues arise, the AI is ready to help troubleshoot and offer solutions based on real-time analysis and previous project experience.

Key benefits

Our AI Pair Programmer solution offers several core benefits that significantly improve the development process, making it more efficient, reliable, and conducive to continuous learning and improvement.

Higher productivity

  • Reduced bottlenecks: sharing knowledge and responsibility with AI minimizes development bottlenecks. The AI helps distribute tasks and responsibilities, ensuring a smooth workflow without unnecessary delays.

  • Continuous progress: constant monitoring by the AI ensures that the pace of development is maintained. Potential blockers are quickly identified and addressed, allowing teams to maintain momentum throughout the project lifecycle.

  • Complexity reduction: the AI eliminates the need for highly specialized skills by providing expert guidance and automation. This allows developers to focus on the core aspects of their projects without being hindered by technical complexity.

Enhanced code quality

  • Error reduction: the AI continuously reviews the code as it is written, catching errors at an early stage before they can cause significant problems. This proactive error detection improves the overall stability and reliability of the codebase.

  • Increased consistency: by ensuring that all developers adhere to best practices and standards, AI promotes consistency across multiple projects and users. This leads to more uniform and maintainable code, regardless of which team or person is working on it.

Knowledge sharing

  • Skills development: developers benefit from working with the AI, which not only assists with tasks, but also trains them. Over time, developers improve their integration and platform-specific skills, resulting in a more capable and knowledgeable team.

  • Consistent knowledge: the AI shares its knowledge of the codebase with the entire team, ensuring that knowledge does not remain isolated to individual developers. This creates a collaborative environment where everyone is on the same page.

Improved problem-solving

  • Diverse perspectives: the AI brings different perspectives and approaches to problem-solving, leading to more robust and comprehensive solutions. This diversity in thinking helps to approach challenges from different angles, which often leads to more innovative results.

  • Immediate feedback: developers receive immediate feedback on their work, allowing for quick fixes and iterative improvements. This real-time feedback loop speeds up the development process and increases the overall quality of the final product.

Features and capabilities

The AI Pair Programmer is fully embedded in our Platform and integrates seamlessly into every aspect of the development process to provide comprehensive support and enhancements. While any type of assistance can be requested through chat, proactive assistance is woven throughout the entire Digibee Integration Platform to ensure developers receive timely, contextualized guidance every step of the way.

To fully understand the extensive AI capabilities offered by the AI Pair Programmer, we recommend reading the detailed product documentation on our Platform. The documentation contains detailed information on how each feature works, how AI integrates with various tools and workflows, and best practices for maximizing the benefits of the AI Pair Programmer.