Apr 18 (edited) in Group Updates
New version 2.0 of our Free E-Book "AI Coding Manual"
We have improved and updated our E-book "AI Coding Manual" with more clear chapters and relevant up-to-date content than the first version of the book. You can download it trhough Classroom section or downlod PDF file below. This version has the following chapters:
Chapter 1 - Introduction to AI code assistants
Chapter 2 - Current AI tools for developers
Chapter 3 - Advancements in AI for software development
Chapter 4 - Enhancing code efficiency with AI coding assistants
Chapter 5 - Predictive analysis and issue prevention with Ai coding assistants
Chapter 6 - Ethical considerations in AI-assisted software development
Synopsis:
The "AI Coding Manual 2.0" explores the benefits of using AI
coding assistants and AI tools for software developers, web developers,
and programmers. The book emphasizes how leveraging artificial
intelligence can streamline workflow, improve code quality, and help
complete projects faster. It discusses how AI coding assistants provide
suggestions, auto-complete tasks, offer insights into best practices, assist
in debugging code, and predict potential issues.
The book highlights some of the best current AI tools for developers
such as Github Co-Pilot, Gemini Code Assist, TabNine, Kite Autocomplete
Plugin, and DeepCode. It also introduces Devin AI - the first fully automated
AI software engineer capable of designing algorithms, writing code from
scratch, and fixing bugs without human intervention.
Overall, the book stresses the importance of embracing AI tools to
enhance productivity, improve code quality, and stay competitive in the
industry. It addresses concerns about job displacement and ethical
implications surrounding AI technology in software development. By
adapting to these advancements, developers can work more efficiently,
deliver projects faster, and thrive in a rapidly evolving field.
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New version 2.0 of our Free E-Book "AI Coding Manual"
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