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I Am back..😉😉🤘
I'll tell you some knowledge shear about Exploring Code Autocompletion Tools & No-Code Tools

👀👀 In my world of blogging, every link is a bridge to the perfect destination of knowledge................!


What is Autocompletion Coding Tools?

Autocompletion coding tools are features found in integrated development environments (IDEs) and code editors that assist developers in writing code more efficiently. When a developer begins typing a command, variable, or function, the auto-completion tool predicts and suggests possible completions, reducing the need for the developer to type the entire command or name. This feature enhances coding speed, helps prevent errors, promotes consistency, and aids in the discovery of available functions and methods within a codebase. Autocompletion tools are context-aware, providing suggestions based on the current code context, language, and imported libraries, contributing to a more streamlined and error-resistant coding experience.

History?

Early Beginnings (1960s-1970s):

The concept of autocompletion emerged alongside the development of early programming languages.
Simple macros and text editing features offered basic functionalities like abbreviation expansion.
Examples include:
IBM's Interactive Debugging System (IDS) in the 1960s provided basic code completion.
Editing tools like Emacs (1976) offered rudimentary macro capabilities for repetitive tasks.

Rise of Dedicated Tools (1980s-1990s):

Increased focus on programmer productivity led to the development of specific language-oriented tools.
These tools offered context-aware completion based on syntax and available functions.
Notable examples include:
TECO (Text Editor with COmmands - 1972) offered programmable editing features that could be used for autocompletion.
Codewright (1987) introduced language-specific code completion for C++.

Integration with IDEs (1990s-2000s):

The rise of Integrated Development Environments (IDEs) saw autocompletion becoming a core feature.
IDEs like Eclipse (1998) and Microsoft Visual Studio (1997) offered robust code completion functionalities.
These features leveraged language parsers and code analysis to suggest relevant completions in real-time.

Era of Extensions and Open Source (2000s-Present):

The open-source movement fostered the development of language-specific extensions for popular text editors.
Tools like Vim (extensible text editor) and Emacs gained powerful autocompletion extensions.
Modern code editors like Visual Studio Code (2015) offer a rich ecosystem of extensions providing advanced auto-completion features like:
AI-powered suggestions based on coding patterns and context.
Support for various programming languages and frameworks.

Key Trends:

Machine learning: AI algorithms are increasingly used to analyze code and suggest more relevant completions.
Language Server Protocol (LSP): This open standard enables communication between editors and language servers, allowing for more powerful and language-specific completions.
Cloud-based solutions: Autocompletion tools are being integrated with cloud platforms, offering features like context-aware suggestions based on large codebases.
Overall, code autocompletion has evolved from basic text editing features to sophisticated tools leveraging AI and language analysis. This has significantly improved programmer productivity and code quality. 

Has AI really taken our software jobs?

AI is just a Tool, it helps already skilled domain experts to increase efficiency and reliable assistance👀👀

For Example: you imagine an AI Tool is a pen

A Movie script writer writes the story. he writes a story using a 10 rupees pen and paper. he thinks and writes a great story. 

but we gave them another costly pen to write a story, that time also he wrote an amazing story.

so there is no magic in pen; writers have writing skills, and pen helps to write smoothly and reduce time, and provide efficient work.

So AI Tools will never replace Software Engineers, but increase the efficiency of projects and save time and clear and readable code and fix bugs perfectly.

So don't think So Much; it will kill you your confidence and motivation.
Everything reaches you right time😎😎😎😎 

LIST OF TOOLS?

- GitHub Copilot (October 2021)

- Codium ()

- Devin ai

- AWS code whisperer

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There are more tools available in the market 

Terminal Completion Tools?

1- Fig: Link

2- Warp: Link
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if any update Tools are available; I will update them every day 

Limits of Autocompletion Coding Tools?

Errors and Incompleteness: These tools rely on analyzing existing code. If the training data includes bugs or incomplete code, the autocompletion may reflect those errors. This can lead to bugs being introduced into your project.

Limited Creativity: While autocomplete can suggest common code structures and functions, it may not be able to help with unique or creative solutions to coding problems. Over-reliance can hinder a developer's ability to come up with original solutions.

Security Risks: Autocompletion tools may not be able to identify or prevent security vulnerabilities in the code they suggest. It's still important for developers to understand the security implications of the code they write.

Jensen Huang talks about Future programming👀👀👀

                                                                    MUST WATCH

METHODS OF NO CODE APPLICATIONS 

- Drag and Drop

- Screenshot to code (new generative ai): Link; Link

- Codeium for online google Colab IDE: Link

- NoCode API Builder: Link

---MUST READING ELEMENTS💥💥💥💥

1- What is it like to program with artificial intelligence: Link

2- Self-Programming Artificial Intelligence Using Code-Generating Language Models: Link

3- This channel is all about autocompletion tools: Link

4- Hugging Face assistance: Link

5- Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation: Link

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LAST WORDS:-
One thing to keep in Mind Ai and self-driving Car technologies are very vast...! Don't compare yourself to others, You can keep learning..........

Competition And Innovation Are Always happening...!
so you should get really Comfortable with change...

So keep slowly Learning step by step and implement, be motivated and persistent



Thanks for Reading This full blog
I hope you really Learn something from This Blog

Bye....!

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I'M NATARAAJHU