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AI-assisted programming : = better planning, coding, testing, and deployment /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	AI-assisted programming :/ Tom Taulli.
Reminder of title:	better planning, coding, testing, and deployment /
Author:	Taulli, Tom,
Published:	Sebastopol, CA :O'Reilly Media, Inc., : 2024.,
Description:	xvii, 203 p. :ill. ; : 24 cm.;
Notes:	Includes index.
Subject:	Computer programming. -
ISBN:	9781098164560 (pbk.) :

AI-assisted programming : = better planning, coding, testing, and deployment /
Taulli, Tom,1968-

AI-assisted programming :better planning, coding, testing, and deployment /Tom Taulli. - 1st ed. - Sebastopol, CA :O'Reilly Media, Inc.,2024. - xvii, 203 p. :ill. ;24 cm.

Includes index.

Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, and design; coding; and debugging, testing, and documentation. With this practical book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Bard, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer). You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another.

ISBN: 9781098164560 (pbk.) :NT2276Subjects--Uniform Titles:

ChatGPT.
Subjects--Topical Terms:

527822
Computer programming.

LC Class. No.: QA76.9.N38 / T38 2024

Dewey Class. No.: 005.13/3

AI-assisted programming : = better planning, coding, testing, and deployment /
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300 $a xvii, 203 p. : $b ill. ; $c 24 cm.
500 $a Includes index.
520 # $a Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, and design; coding; and debugging, testing, and documentation. With this practical book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Bard, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer). You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another.
630 0 0 $a ChatGPT. $3 1429760
630 0 0 $a Git (Computer file) $3 793084
650 # 0 $a Computer programming. $3 527822
650 # 0 $a Natural language processing (Computer science) $3 641811
650 # 0 $a Artificial intelligence $x Computer programs. $3 896016