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BPeat at 14:42, 15 September 2026

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BPeat at 10:31, 6 September 2026

2026-09-06T10:31:43Z

BPeat at 17:01, 6 November 2024

2024-11-06T17:01:23Z

BPeat: /* AI Pair Programming Tools */

2024-05-14T09:50:55Z

‎AI Pair Programming Tools

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 <youtube>GRccswg84s8</youtube>
-AI code [[assistants]] are software tools that use artificial intelligence to help developers write code faster and more accurately. They can generate code, suggest code completions, detect errors, and more. Here are some of the AI code [[assistants]] available today:
+AI code [[Agents/Assistants|Assistants]] are software tools that use artificial intelligence to help developers write code faster and more accurately. They can generate code, suggest code completions, detect errors, and more. Here are some of the AI code [[Agents/Assistants|Assistants]] available today:
 == AskCodi ==
 * [https://www.askcodi.com/ AskCodi]
-An AI code assistant that excels in writing documentation and unit tests. It can generate documentation from code comments or natural language queries, and create unit tests from code snippets or test cases. It supports Python, Java, JavaScript, C#, and PHP. It works as a web app or a browser extension.
+An AI code [[Agents/Assistants|Assistants]] that excels in writing documentation and unit tests. It can generate documentation from code comments or natural language queries, and create unit tests from code snippets or test cases. It supports Python, Java, JavaScript, C#, and PHP. It works as a web app or a browser extension.
 == Codiga ==
 * [https://www.codiga.io/ Codiga]
-An AI code assistant that helps ensure code quality and security. It can analyze code for errors, bugs, vulnerabilities, performance issues, style violations, and best practices. It can also suggest code improvements and refactorings. It supports Python, Java, JavaScript, TypeScript, C#, PHP, Ruby, Go, and Swift. It works as a web app or a VS Code extension.
+An AI code [[Agents/Assistants|Assistant]] that helps ensure code quality and security. It can analyze code for errors, bugs, vulnerabilities, performance issues, style violations, and best practices. It can also suggest code improvements and refactorings. It supports Python, Java, JavaScript, TypeScript, C#, PHP, Ruby, Go, and Swift. It works as a web app or a VS Code extension.
 == Tabnine ==
 * [https://www.tabnine.com/ Tabnine]
-An AI code assistant that helps developers ship code faster without exposing intellectual property. It uses deep learning to provide code completions for any language in any editor. It can also suggest relevant documentation and code examples. It works offline and does not send any code to the cloud.
+An AI code [[Agents/Assistants|Assistant]] that helps developers ship code faster without exposing intellectual property. It uses deep learning to provide code completions for any language in any editor. It can also suggest relevant documentation and code examples. It works offline and does not send any code to the cloud.
 == Sourcegraph Cody ==
 * [https://about.sourcegraph.com/cody Cody | Sourcegraph]
-An AI code assistant that helps developers find and reuse code snippets from GitHub. It can search for code snippets based on natural language queries or keywords, and provide context and explanations for the results. It supports over 20 programming languages, such as Python, Java, JavaScript, C#, Ruby, Go, and Rust. It works as a web app or a VS Code extension.
+An AI code [[Agents/Assistants|Assistant]] that helps developers find and reuse code snippets from GitHub. It can search for code snippets based on natural language queries or keywords, and provide context and explanations for the results. It supports over 20 programming languages, such as Python, Java, JavaScript, C#, Ruby, Go, and Rust. It works as a web app or a VS Code extension.
 == Captain Stack ==
@@ Line 339: / Line 339: @@
 [[Replit]] is an online integrated development environment (IDE) platform that provides a cloud-based workspace for coding, debugging, and deploying applications. It also offers a number of features that can help developers to be more productive, including a built-in code editor, a debugger, a terminal, and a file manager. In addition, [[Replit]] offers a number of integrations with other services, such as GitHub, Bitbucket, and Heroku. One of the most interesting features of [[Replit]] is its integration with AI.
-[[Replit]]'s AI assistant can help developers with a variety of tasks, such as code completion, debugging, and documentation. The AI assistant can also be used to generate code, which can be helpful for developers who are new to a particular programming language or who are looking for inspiration. Overall, [[Replit]] is a powerful and versatile IDE platform that can be used by developers of all levels of experience. The integration with AI makes Replit a particularly interesting option for developers who are looking for ways to be more productive and to learn new programming languages. It can generate code from natural language prompts or voice commands, and provide interactive feedback and guidance. It supports over 50 programming languages and frameworks, such as Python, JavaScript, HTML, CSS, React, TensorFlow, and PyTorch. It works as a web app or a mobile app.
+[[Replit]]'s AI [[Agents/Assistants|Assistant]] can help developers with a variety of tasks, such as code completion, debugging, and documentation. The AI [[Agents/Assistants|Assistants]] can also be used to generate code, which can be helpful for developers who are new to a particular programming language or who are looking for inspiration. Overall, [[Replit]] is a powerful and versatile IDE platform that can be used by developers of all levels of experience. The integration with AI makes Replit a particularly interesting option for developers who are looking for ways to be more productive and to learn new programming languages. It can generate code from natural language prompts or voice commands, and provide interactive feedback and guidance. It supports over 50 programming languages and frameworks, such as Python, JavaScript, HTML, CSS, React, TensorFlow, and PyTorch. It works as a web app or a mobile app.
 Here are some examples of how AI can be used in Replit:
-* <b>Code completion</b>: The AI assistant can help developers to complete code by suggesting relevant functions, variables, and keywords.
+* <b>Code completion</b>: The AI [[Agents/Assistants|Assistants]] can help developers to complete code by suggesting relevant functions, variables, and keywords.
-* <b>Debugging</b>: The AI assistant can help developers to debug their code by suggesting possible solutions to errors.
+* <b>Debugging</b>: The AI [[Agents/Assistants|Assistant]] can help developers to debug their code by suggesting possible solutions to errors.
-* <b>Documentation</b>: The AI assistant can help developers to generate documentation for their code by extracting information from the code itself.
+* <b>Documentation</b>: The AI [[Agents/Assistants|Assistant]] can help developers to generate documentation for their code by extracting information from the code itself.
-* <b>Generating code</b>: The AI assistant can be used to generate code for a variety of tasks, such as creating web applications, mobile applications, and data science projects.
+* <b>Generating code</b>: The AI [[Agents/Assistants|Assistant]] can be used to generate code for a variety of tasks, such as creating web applications, mobile applications, and data science projects.
 == TerpreT Framework ==
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 ...Introduce machine Learning (ML) techniques into your Software Development Life Cycle (SLDC) as follows:
-. <b>Coding [[Assistants]]: </b> Most of a developer’s time is spent debugging code and reading the documentation. With smart coding [[assistant]] implemented using ML, developers can get quick feedback and recommendations based on the codebase, saving a lot of time. Great examples include [https://www.codota.com/ Java’s Codota] and [https://kite.com/ Python’s Kite].
+. <b>Coding [[Agents/Assistants|Assistants]]: </b> Most of a developer’s time is spent debugging code and reading the documentation. With smart coding [[Agents/Assistants|Assistant]] implemented using ML, developers can get quick feedback and recommendations based on the codebase, saving a lot of time. Great examples include [https://www.codota.com/ Java’s Codota] and [https://kite.com/ Python’s Kite].
 . <b>Automatic Coding Refactoring: </b> It is important to have clean code because it makes collaboration a lot easier. Maintenance of clean code is also orders of magnitude easier than unclean code. Here's the deal; whenever an organization scales, refactoring becomes a painful necessity. With ML, it is easy to analyze code and optimize for performance by identifying potential areas for refactoring.
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 . <b>Providing Precise Estimates: </b> The profession of software development is known for exceeding budgets and timelines. To make a good estimate, it’s important to have a deep understanding of both the [[context]] and the development team. You can train an ML model using data from past projects like user stories, cost estimates, and feature definitions. This can prove very helpful in predicting effort and budget.
-. <b>Analytics and Error Handling: </b> Coding [[assistants]] based on ML can identify patterns in historical data and identify common errors. If the engineer makes such an error during development, the coding [[assistant]] will flag this. And that’s not all…after deployment, ML can be used to analyze logs and flag errors that can then be fixed. This makes the software developer proactive in solving errors. Who knows? Maybe in the future ML will correct software based on errors without the need for human intervention.
+. <b>Analytics and Error Handling: </b> Coding [[Agents/Assistants|Assistants]] based on ML can identify patterns in historical data and identify common errors. If the engineer makes such an error during development, the coding [[Agents/Assistants|Assistant]] will flag this. And that’s not all…after deployment, ML can be used to analyze logs and flag errors that can then be fixed. This makes the software developer proactive in solving errors. Who knows? Maybe in the future ML will correct software based on errors without the need for human intervention.
 . <b>Rapid Prototyping: </b> Converting business requirements into technology takes months at best or years to turn into technology. Today, however, ML is reducing development time by helping individuals with less technical knowledge to develop technologies.

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 * [[ChatGPT]] | [[OpenAI]]
 * [[Game Development with ChatGPT]]
-* [[Agents]] ... [[Robotic Process Automation (RPA)|Robotic Process Automation]] ... [[Assistants]] ... [[Personal Companions]] ... [[Personal Productivity|Productivity]] ... [[Email]] ... [[Negotiation]] ... [[LangChain]]
+* [[Agents/Assistants]] ... [[Robotic Process Automation (RPA)|Robotic Process Automation]] ... [[Personal Companions]] ... [[Personal Productivity|Productivity]] ... [[Email]] ... [[Negotiation]] ... [[LangChain]]
 * [[Python]]   ... [[Generative AI with Python]]  ... [[Javascript]]  ... [[Generative AI with Javascript]]  ... [[Game Development with Generative AI]]
 * [https://itschatgpt.com/how-to-use-chatgpt-for-language-generation-in-python-in-2023/ How to use ChatGPT for language generation in Python in 2023? | John Williams - Its ChatGPT]  ...[[Python]]

@@ Line 28: / Line 28: @@
 * [[Prompt Engineering (PE)]] ...[[Prompt Engineering (PE)#PromptBase|PromptBase]] ... [[Prompt Injection Attack]]
 * [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Generative AI]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]]
 * [[Google Natural Language]]
 * [[World Models]]

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 * [[Artificial General Intelligence (AGI) to Singularity]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ...  [[Algorithm Administration#Automated Learning|Automated Learning]]
 * [[Immersive Reality]] ... [[Metaverse]] ... [[Omniverse]] ... [[Transhumanism]] ... [[Religion]]
 ** [[Eggplant]]
 * [[Symbiotic Intelligence]] ... [[Bio-inspired Computing]] ... [[Neuroscience]] ... [[Connecting Brains]] ... [[Nanobots#Brain Interface using AI and Nanobots|Nanobots]] ... [[Molecular Artificial Intelligence (AI)|Molecular]] ... [[Neuromorphic Computing|Neuromorphic]] ... [[Evolutionary Computation / Genetic Algorithms| Evolutionary/Genetic]]

@@ Line 23: / Line 23: @@
 * [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database|Database; Vector & Relational]] ... [[Graph]] ... [[LlamaIndex]]
 * [[Data Quality]] ...[[AI Verification and Validation|validity]], [[Evaluation - Measures#Accuracy|accuracy]], [[Data Quality#Data Cleaning|cleaning]], [[Data Quality#Data Completeness|completeness]], [[Data Quality#Data Consistency|consistency]], [[Data Quality#Data Encoding|encoding]], [[Data Quality#Zero Padding|padding]], [[Data Quality#Data Augmentation, Data Labeling, and Auto-Tagging|augmentation, labeling, auto-tagging]], [[Data Quality#Batch Norm(alization) & Standardization| normalization, standardization]], and [[Data Quality#Imbalanced Data|imbalanced data]]
-* [[Large Language Model (LLM)]] ... [[Natural Language Processing (NLP)]]  ...[[Natural Language Generation (NLG)|Generation]] ... [[Natural Language Classification (NLC)|Classification]] ...  [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|Understanding]] ... [[Language Translation|Translation]] ...  [[Natural Language Tools & Services|Tools & Services]]
+* [[Large Language Model (LLM)]] ... [[Large Language Model (LLM)#Multimodal|Multimodal]] ... [[Foundation Models (FM)]] ... [[Generative Pre-trained Transformer (GPT)|Generative Pre-trained]] ... [[Transformer]] ... [[Attention]] ... [[Generative Adversarial Network (GAN)|GAN]] ... [[Bidirectional Encoder Representations from Transformers (BERT)|BERT]]
 * [[Python]] ... [[Generative AI with Python|GenAI w/ Python]] ... [[JavaScript]] ... [[Generative AI with JavaScript|GenAI w/ JavaScript]] ... [[TensorFlow]] ... [[PyTorch]]
 * [[Gaming]] ... [[Game-Based Learning (GBL)]] ... [[Games - Security|Security]] ... [[Game Development with Generative AI|Generative AI]] ... [[Metaverse#Games - Metaverse|Games - Metaverse]] ... [[Games - Quantum Theme|Quantum]] ... [[Game Theory]] ... [[Game Design | Design]]

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 * [[Risk, Compliance and Regulation]] ... [[Ethics]] ... [[Privacy]] ... [[Law]] ... [[AI Governance]] ... [[AI Verification and Validation]]
 * [[Smart Cities]]
-* [[Telecommunications]] ... [[Computer Networks]] ... [[Telecommunications#5G|5G]] ... [[Satellite#Satellite Communications|Satellite Communications]] ... [[Quantum Communications]] ... [[Agents#Communication | Agents]] ... [[AI Generated Broadcast Content|AI Broadcast; Radio, Stream, TV]]
+* [[Telecommunications]] ... [[Computer Networks]] ... [[Telecommunications#5G|5G]] ... [[Satellite#Satellite Communications|Satellite Communications]] ... [[Quantum Communications]] ...  [[Smart Cities]] ...  [[Digital Twin]] ... [[Internet of Things (IoT)]] ... [[AI Generated Broadcast Content|AI Broadcast; Radio, Stream, TV]] ...  [[Computer_Networks#Space-based Data Centers|Space-based Data Centers]]
 * [[Agents/Assistants]] ... [[Robotic Process Automation (RPA)|Robotic Process Automation]] ... [[Personal Companions]] ... [[Personal Productivity|Productivity]] ... [[Email]] ... [[Negotiation]] ... [[LangChain]]
 * [[Data Science]] ... [[Data Governance|Governance]] ... [[Data Preprocessing|Preprocessing]] ... [[Feature Exploration/Learning|Exploration]] ... [[Data Interoperability|Interoperability]] ... [[Algorithm Administration#Master Data Management (MDM)|Master Data Management (MDM)]] ... [[Bias and Variances]] ... [[Benchmarks]] ... [[Datasets]]

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 |keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
 [https://www.youtube.com/results?search_query=Software+Develop+ai+deep+learning Youtube]
@@ Line 22: / Line 13: @@
 * [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless]] ... [[Hugging Face]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
 * [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]]
-* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Ernie]] | [[Baidu]]
+* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Apple| Siri | Apple]] ... [[Meta]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Grok]] | [https://x.ai/ xAI] ... [[Groq]] ... [[Ernie]] | [[Baidu]] ... [[DeepSeek]] ...  [[Alibaba]]
 * [[Libraries & Frameworks Overview]] ... [[Libraries & Frameworks]] ... [[Git - GitHub and GitLab]] ... [[Other Coding options]]
 * [[Strategy & Tactics]] ... [[Project Management]] ... [[Best Practices]] ... [[Checklists]] ... [[Project Check-in]] ... [[Evaluation]] ... [[Evaluation - Measures|Measures]]
@@ Line 28: / Line 19: @@
 * [[Smart Cities]]
 * [[Telecommunications]] ... [[Computer Networks]] ... [[Telecommunications#5G|5G]] ... [[Satellite#Satellite Communications|Satellite Communications]] ... [[Quantum Communications]] ... [[Agents#Communication | Agents]] ... [[AI Generated Broadcast Content|AI Broadcast; Radio, Stream, TV]]
-* [[Agents]] ... [[Robotic Process Automation (RPA)|Robotic Process Automation]] ... [[Assistants]] ... [[Personal Companions]] ... [[Personal Productivity|Productivity]] ... [[Email]] ... [[Negotiation]] ... [[LangChain]]
+* [[Agents/Assistants]] ... [[Robotic Process Automation (RPA)|Robotic Process Automation]] ... [[Personal Companions]] ... [[Personal Productivity|Productivity]] ... [[Email]] ... [[Negotiation]] ... [[LangChain]]
 * [[Data Science]] ... [[Data Governance|Governance]] ... [[Data Preprocessing|Preprocessing]] ... [[Feature Exploration/Learning|Exploration]] ... [[Data Interoperability|Interoperability]] ... [[Algorithm Administration#Master Data Management (MDM)|Master Data Management (MDM)]] ... [[Bias and Variances]] ... [[Benchmarks]] ... [[Datasets]]
 * [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database|Database; Vector & Relational]] ... [[Graph]] ... [[LlamaIndex]]

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 ** [[Simulated Environment Learning]]
 * [[Differentiable Programming]]
-* [[Reading Material & Glossary|Reading/Glossary]] ... [[Courses & Certifications|Courses/Certs]] ... [[Podcasts]] ... [[Books, Radio & Movies - Exploring Possibilities]] ... [[Help Wanted]]
+* [[Humor]] ... [[Writing/Publishing]] ... [[Storytelling]] ... [[AI Generated Broadcast Content|Broadcast]]  ... [[Journalism|Journalism/News]] ... [[Podcasts]] ... [[Books, Radio & Movies - Exploring Possibilities]]
 * [https://transmogrif.ai/ TransmogrifAI - workflows on Spark  | Salesforce]   ... [https://github.com/salesforce/TransmogrifAI GitHub]
 * [https://oracle.github.io/graphpipe/#/ Graphpipe | Oracle]

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