AI Augmented Development
What is AI Augmented Development?
AI-Augmented Development refers to the integration of artificial intelligence into the software development process. This approach leverages AI to automate mundane tasks, enhance code quality, and accelerate the development lifecycle. AI tools can assist in code generation, testing, debugging, and even in understanding and managing technical debt. By using AI, developers can focus on more complex and creative aspects of software development, ensuring that human expertise is used where it is most valuable. The rise of AI-augmented development tools like GitHub Copilot and others signifies a shift towards more efficient and innovative software creation, promising to revolutionize the industry by supporting developers in their efforts to meet the increasing demands for sophisticated software solutions.Assists developers in writing code more efficiently by suggesting code snippets, completing code lines, and generating entire code blocks.
- Kite
- Amazon CodeWhisperer
- Google Codey
- Codota
- Codeium
- OpenAI Codex
- Seek
- Enzyme
- Mutable.ai
- Sourcegraph (Cody)
Helps improve code quality, readability, and performance by suggesting refactoring options, identifying performance bottlenecks, and optimizing code.
- SonarQube (with AI capabilities)
- DeepCode
- ReSharper
- PyCharm
- Eclipse
- CodeClimate
- Refactoring Essentials
- JArchitect
- SonarLint
Automates test case generation, identifies potential bugs, and assists in debugging by providing root cause analysis.
- IntelliJ IDEA (with AI-powered debugging)
- Parasoft (with AI-driven testing)
- PyCharm
- ReSharper
- SonarLint
- GDB (GNU Debugger)
- Airbrake
- CodeGuru
Automates test case generation, identifies potential bugs, and assists in debugging by providing root cause analysis.
- Snyk Code
- Checkmarx (with AI-powered vulnerability detection)
- SonarQube (with AI capabilities)
- Codacy
- Code Climate
- Amazon CodeGuru Reviewer
- CodeScene
- PullRequest
- Reviewable
- DeepCode
Converts natural language descriptions of code into actual code.
- OpenAI Codex
- Transcoder
- Tabnine
- Kite
- DeepCode
- Codeium
- Codota
- Google Codey
Enables developers to create applications with minimal coding by providing visual interfaces and AI-driven automation.
- Amazon SageMaker
- Google AutoML
- IBM Watson Studio
- Teachable Machine
- Zoho Creator
- Quickbase
- Amazon Q
Offers general development support, such as documentation generation, task management, and code search.
- Kite
- Replit
- Copilot (Bing AI)
- WolframAlpha
- Phind
- Meta AI
- You.com
- Cody
- Whispr AI
- Quora Poe
- Replit Ghostwriter
- Lightning AI
- AskCodi
AI Development Environments provide comprehensive platforms for building, training, and deploying AI models.
- ai-studio | AI studios, workbenches etc.
Cloud-Based AI Studios, Workbenches, etc.
- Databricks
- Amazon SageMaker Studio
- DataRobot
- Domino Data Lab
- SAS Viya
- IBM Watson Studio
- Dataiku
- BigQuery
Locally Usable AI Studios, Workbenches, etc.
- Jupyter Notebooks
- Kaggle
- H2O
- RapidMiner
- KNIME
- Alteryx
- TensorFlow Extended (TFX)
- Kubeflow Pipelines
- MLflow
- DVC
AI-driven collaboration platforms can facilitate better communication and knowledge sharing among development teams, leading to improved productivity.
- Slack (with AI integrations)
- Microsoft Teams (with AI integrations)
- Asana (with AI features)
- Jira (with AI capabilities)
- Google Colab
- Trello (with AI-powered automation)
- Confluence (with AI enhancements)
- Notion (with AI integrations)
- Monday.com (with AI features)
- ClickUp (with AI capabilities)
- MetaGPT
- CodeStream
Stack Overflow Developer Survey 2024
AI Search & AI Developer Tools
Stack Overflow Developer Survey - AI Search Tools
- Amazon Q
- You.com
- Cody
- OpenAI Codex
- Whispr AI
- Quora Poe
- Snyk Code
- Replit Ghostwriter
- Lightning AI
- AskCodi
- Andi
- Neeva AI
- Metaphor
Related:
- AI-Augmented Development (trend)
- ai-studio | AI studios, workbenches etc.
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External links:
- What is AI-Augmented Development? —analyticsinsight.net
- AI-Augmented Development is the use of AI to assist software developers in various tasks. Learn how it can simplify software development.
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- AI-augmented development influences industries, offering new opportunities. Explore AI-assisted coding's pros and cons with Geniusee's guide.
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- AI, Functional testing, Performance Testiing, ValueEdge
- The Competitive Advantage of AI Governance —cmswire.com
- Your AI is smart, but is it safe? Discover the must-have governance strategies for protecting your business and your customers.
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- We surveyed 2,000 people on software development teams at enterprises in the U.S., Brazil, India, and Germany about the use, experience, and expectations around generative AI tools in software development.
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- Digital Literacy - Augmented Digital Literacy
- Machine Learning for Code Quality Assurance
- Intelligent Code Completion Tools
- Automated Testing with AI
- Natural Language Processing in Documentation Generation
- AI-Assisted Debugging Techniques
- Predictive Analytics for Project Management
- Enhanced User Experience through AI-Enhanced Interfaces
- Collaborative Development Environments with AI Support
- Ethical Considerations in AI-Powered Development Tools
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- AI | 2024 Stack Overflow Developer Survey —stackoverflow.co
- AI-powered Citizen Developers (CitDev)
AI-Augmented Development Tools: