Bito AI:免费使用 AI 编写代码/修复错误/创建测试用例 Use AI智能聊天 to 10x dev work
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目录
关键是:免费的!注册就能使用!!还不赶紧用起来??!https://bito.co/
🚀🚀🚀 Bito AI - the Swiss Army knife to be a 10x dev!🚀🚀🚀 Bito AI - 成为 10 倍开发者的瑞士军刀!
🔑🔑 What does Bito AI do?🔑🔑 Bito AI 是做什么的?
😊 What does Bito's AI Assistant help with? Ask any technical question! Bito的AI助手有什么帮助?问任何技术问题!
参考阅读:https://docs.bito.co/bito-features
Here’s what people are saying: 人们是这样说的:
番外篇:The Future of AI in Software Development 人工智能在软件开发中的未来
Importance of AI in Software Development人工智能在软件开发中的重要性
Current State of AI in Software Development人工智能在软件开发中的现状
Impact of AI on Software Development人工智能对软件开发的影响
Future of AI in Software Development人工智能在软件开发中的未来
Challenges in AI in Software Development:人工智能在软件开发中的挑战:
Bito AI 简介
Bito AI , https://bito.co/
Use the same AI as 智能聊天, trained on billions of lines of code and docs.
使用与智能聊天相同的 AI,经过数十亿行代码和文档的训练。
关键是:免费的!注册就能使用!!还不赶紧用起来??!https://bito.co/
🚀🚀🚀 Bito AI - the Swiss Army knife to be a 10x dev!
🚀🚀🚀 Bito AI - 成为 10 倍开发者的瑞士军刀!
🔑🔑 What does Bito AI do?
🔑🔑 Bito AI 是做什么的?
Bito's AI Assistant uses the same AI as 智能聊天 in your IDE and Chrome to help developers dramatically accelerate their impact.
Bito 的 AI 助手在您的 IDE 和 Chrome 中使用与 智能聊天 相同的 AI 来帮助开发人员显着加快他们的影响力。
Bito AI makes it easy to write code, understand syntax, write test cases, explain code, comment code, check security, and even explain high level concepts. Trained on billions of lines of code and technical knowledge, it's pretty incredible what we can help you do without having to search the web or waste time on tedious stuff.
Bito AI 可以轻松编写代码、理解语法、编写测试用例、解释代码、评论代码、检查安全性,甚至解释高级概念。受过数十亿行代码和技术知识的培训,我们可以帮助您完成这些工作,而无需搜索网络或将时间浪费在繁琐的事情上,这真是令人难以置信。
😊 What does Bito's AI Assistant help with? Ask any technical question! Bito的AI助手有什么帮助?问任何技术问题!
1.Generate Code: Examples: “code in java to convert a number from one base to another”, “code to implement a simple REST API in GO
生成代码:示例:“java 代码将数字从一个基数转换为另一个基数”、“在 GO 中实现简单 REST API 的代码”
2.Command Syntax: “how to set git config variables”, “create an encrypted s3 bucket using the AWS cli”命令语法:“如何设置 git 配置变量”、“使用 AWS cli 创建加密的 s3 存储桶”
3.Test Cases: “Generate test cases for this code < insert your code here >"
测试用例:“为此代码生成测试用例<在此处插入您的代码>”
4.Explain code: “explain this code < insert your code here >”
解释代码:“解释这段代码<在这里插入你的代码>”
5.Comment Method: “Explain this code and explain the parameters < insert your code here >”
注释方法:“解释这段代码并解释参数<在这里插入你的代码>”
6.Improve Performance: “how can I improve performance of this code? < insert your code here >”
提高性能:“我怎样才能提高这段代码的性能?<在此处插入您的代码>”
7.Check Security: “Is this code secure? < insert your code here >”
检查安全性:“此代码安全吗?<在此处插入您的代码>”
8.Explain concepts: "explain B+ trees, give an example with code", “explain banker's algorithm”讲解概念:《讲解B+树,用代码举例》、《讲解银行家算法》
快速上手安装使用
打开 Bito AI ( https://bito.co/ ) 官网链接,直接安装即可。
也可以在 Jetbrains IDE plugins 市场搜索安装:
还有Google Chrome浏览器插件可以安装:
在google chrome插件中使用:
Question: 问题:
what is bito AI ? 什么是 bito AI?
Answer: 回答:
Bito AI is an artificial intelligence platform that helps businesses to make better decisions by using data. It combines machine learning and natural language processing to generate insights from massive datasets, helping organizations to understand customer behaviour, automate operations and optimize their products and services.
Bito AI 是一个人工智能平台,可帮助企业通过使用数据做出更好的决策。它将机器学习和自然语言处理相结合,从海量数据集中生成洞察,帮助组织了解客户行为、自动化运营并优化其产品和服务。
use golang write bubble sort: 使用 golang 写冒泡排序:
输出结果:
package main
import (
"fmt"
)
func BubbleSort(nums []int)
for i := 0; i < len(nums); i++
for j := 0; j < len(nums)-i-1; j++
if nums[j] > nums[j+1]
nums[j], nums[j+1] = nums[j+1], nums[j]
func main()
nums := []int3, 8, 9, 10, 1, 6, 4
BubbleSort(nums)
fmt.Println(nums)
// Output: [1 3 4 6 8 9 10]
Bito AI 的核心能力
比如说,在IDE安装好之后,编辑器中右击一段代码,即可看到Bito AI 功能菜单,如下图所示:
Bito AI 的核心功能如下。
生成代码
命令语法
生成测试用例
解释代码
给代码写注释
代码安全检查
解释概念
参考阅读:https://docs.bito.co/bito-features
Here’s what people are saying: 人们是这样说的:
“I feel like I’m saving 1-2 hours a day to get things done so much faster.” “我觉得我每天可以节省 1-2 个小时来更快地完成工作。” Rohan Bankar 罗汉银行 Principal Architect, PubMatic PubMatic 首席架构师
“This is amazing. It helped me write test cases, write code, and it gave me a detailed summary of Scala and Java sections.” “这真太了不起了。它帮助我编写测试用例、编写代码,并为我提供了 Scala 和 Java 部分的详细摘要。” Prashant Mahajan 帕尚马哈詹 Co-founder & CTO, Privado Privado 联合创始人兼首席技术官
实战案例
例子1:辅助我写代码
我在项目中,需要实现一个函数来获取每个月最后一天。看看我们是怎样通过视同Bito AI帮助我们完成代码开发的:
我问Bito AI:
use golang write a function get last day of month
Bito AI 的回答是:
package main
import (
"fmt"
"time"
)
func getLastDayOfMonth(year int, month time.Month) time.Time
return time.Date(year, month+1, 0, 0, 0, 0, 0, time.UTC)
func main()
lastDay := getLastDayOfMonth(2020, time.March)
fmt.Println("The last day of March 2020: ", lastDay.Format("02-01-2006"))
然后,我稍作封装和命名,就完成了功能开发(虽然看起来不是那么简洁优雅):
func getLastDayOfMonth(year int, month time.Month) time.Time
return time.Date(year, month+1, 0, 0, 0, 0, 0, time.UTC)
// 获取每个月的最后一天
func GetLastDayOfMonth(datetime int64) time.Time
time := time.Unix(datetime, 0)
return getLastDayOfMonth(time.Year(), time.Month())
例子2:生成代码注释
例子3:工具配置指令
例子4:帮助我写代码
参考阅读:Bito AI Examples
https://docs.bito.co/bito-ai-examples
Supercharging development with AI
借助 AI 加速发展
Bito AI Assistance can help with generating new content or help with your existing code.
Bito AI 协助可以帮助生成新内容或帮助您处理现有代码。
Click on each use case for an example instruction and response.
单击每个用例以获取示例说明和响应。
1.Generate Code
1.生成代码
https://docs.bito.co/bito-ai-examples#generate-code
Instruction 操作说明
Implement a simple rest API in Go.
Response 回复
package main
import (
"encoding/json" "fmt" "net/http" )
type user struct Name string json:"name" Age int json:"age"
func main()
http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request)
// Create user
u := user Name: "John Doe", Age: 25,
// Encode user
uj, err := json.Marshal(u)
if err != nil
fmt.Fprintf(w, err.Error())
// Return user
w.Header().Set("Content-Type", "application/json")
w.WriteHeader(http.StatusOK)
fmt.Fprintf(w, "%s\\n", uj)
)
http.ListenAndServe(":3000", nil)
2.Command Syntax
2.命令语法
Instruction 操作说明
How to rebase a branch in git?
Response 回复
Checkout the branch you want to rebase:
$ git checkout
Rebase your branch against the upstream branch:
$ git rebase upstream/
Resolve any conflicts that arise.
Once all conflicts are resolved, do a git status to verify that all files have been updated correctly.
Finally, push the rebased branch to the remote repository:
$ git push origin --force
3.Learn Technical Concepts
3.学习技术概念
Instruction 操作说明
Can you explain the B+ tree with a code example?
Response 回复
A B+ tree is a self-balancing tree data structure used in databases to store and retrieve data efficiently. It is a variation of the B-tree and is designed to minimize the number of disk accesses required for insertion, deletion, and retrieval operations. B+ trees are characterized by the number of keys stored per node, the order of the nodes, and the number of children per node.
B+树是一种自平衡树数据结构,用于数据库中以有效地存储和检索数据。它是 B 树的一种变体,旨在最大限度地减少插入、删除和检索操作所需的磁盘访问次数。 B+树的特点是每个节点存储的键的数量、节点的顺序和每个节点的孩子数量。
For example, a B+ tree of order 5 would have 5 keys per node and 5 children per node. When a node becomes full, it will split into two nodes, each containing half of the keys and half of the children. This means that all the nodes at the same level will have the same number of keys, making retrieval operations more efficient.
例如,一棵 5 阶 B+ 树每个节点有 5 个键,每个节点有 5 个子节点。当一个节点变满时,它将分裂成两个节点,每个节点包含一半的键和一半的子节点。这意味着同一级别的所有节点都将具有相同数量的键,从而使检索操作更加高效。
Here is an example in Python
这是 Python 中的示例
class Node:
def __init__(self, order):
self.order = order
self.keys = []
self.children = [None] * (order + 1)
class BPlusTree:
def __init__(self, order):
self.root = Node(order)
def insert(self, key):
if not self.root.keys:
self.root.keys.append(key)
else:
pass # traverse the tree and insert the key
def delete(self, key):
pass # traverse the tree and delete the key
def search(self, key):
pass # traverse the tree and search for the key
# Create a B+ tree of order 5
bplus_tree = BPlusTree(5)
# Insert a key
bplus_tree.insert(10)
# Delete a key
bplus_tree.delete(10)
# Search for a key
bplus_tree.search(10)
4.Test Case 4.测试用例
Instruction 操作说明
Generate test cases for the following method.
genrateLabelDiffArray(newLabelArray,oldLabelArray=[])
let new_ =[],old_=[],merged_=[];
newLabelArray.forEach((lbl)=>
if(new_[lbl] === undefined) new_[lbl] =0;merged_[lbl]=0;
++new_[lbl];
++merged_[lbl];
);
oldLabelArray.forEach((lbl)=>
if(old_[lbl] === undefined) old_[lbl] =0;
if(merged_[lbl] === undefined) merged_[lbl] =0;
++old_[lbl];
--merged_[lbl]
);
let final = [];
merged_.forEach((value,key)=>
if(value!=0)
// final[key.toString()] = value;
final.push(key+":"+value);
)
return final;
Response 回复
Test Case 1: Input: newLabelArray = [ 'Apple', 'Banana', 'Mango', 'Apple' ] oldLabelArray = [ 'Banana', 'Mango', 'Orange' ] Expected Output: ['Apple:2', 'Orange:-1']
Test Case 2: Input: newLabelArray = [ 'Apple', 'Banana', 'Apple', 'Orange' ] oldLabelArray = [ 'Banana', 'Mango', 'Orange' ] Expected Output: ['Apple:2', 'Mango:-1']
5.Explain this Code
5.解释本规范
Instruction 操作说明
What does this code do?
genrateLabelDiffArray(newLabelArray,oldLabelArray=[])
let new_ =[],old_=[],merged_=[];
newLabelArray.forEach((lbl)=>
if(new_[lbl] === undefined) new_[lbl] =0;merged_[lbl]=0;
++new_[lbl];
++merged_[lbl];
);
oldLabelArray.forEach((lbl)=>
if(old_[lbl] === undefined) old_[lbl] =0;
if(merged_[lbl] === undefined) merged_[lbl] =0;
++old_[lbl];
--merged_[lbl]
);
let final = [];
merged_.forEach((value,key)=>
if(value!=0)
// final[key.toString()] = value;
final.push(key+":"+value);
)
return final;
Response 回复
This code takes two arrays, newLabelArray and oldLabelArray, and generates a new array that contains the difference between the two arrays. It does this by first creating three empty arrays, new_, old_, and merged_. It then iterates through the newLabelArray and adds each label to the new_ array, as well as the merged_ array. It then iterates through the oldLabelArray and does the same for the old_ array, but also subtracts it from the merged_ array. Finally, it iterates through the merged_ array and checks for any values that are not equal to 0 and adds them to the final array. It then returns this final array.
此代码采用两个数组,newLabelArray 和 oldLabelArray,并生成一个包含两个数组之间差异的新数组。它通过首先创建三个空数组 new_、old_ 和 merged_ 来实现。然后它遍历 newLabelArray 并将每个标签添加到 new_ 数组以及 merged_ 数组。然后它遍历 oldLabelArray 并对 old_ 数组执行相同的操作,但也从 merged_ 数组中减去它。最后,它遍历 merged_ 数组并检查任何不等于 0 的值并将它们添加到最终数组。然后它返回这个最终数组。
6.Comment Method
6.代码注释
Instruction 操作说明
Generate a comment for this method, explaining the parameters and output
genrateLabelDiffArray(newLabelArray,oldLabelArray=[])
let new_ =[],old_=[],merged_=[];
newLabelArray.forEach((lbl)=>
if(new_[lbl] === undefined) new_[lbl] =0;merged_[lbl]=0;
++new_[lbl];
++merged_[lbl];
);
oldLabelArray.forEach((lbl)=>
if(old_[lbl] === undefined) old_[lbl] =0;
if(merged_[lbl] === undefined) merged_[lbl] =0;
++old_[lbl];
--merged_[lbl]
);
let final = [];
merged_.forEach((value,key)=>
if(value!=0)
// final[key.toString()] = value;
final.push(key+":"+value);
)
return final;
Response 回复
/* This method takes two arrays, newLabelArray and oldLabelArray. It uses the elements of both arrays to generate a merged array, merged_, where it counts the occurrences of each element in both arrays. It then creates a third array, final, containing the elements of merged_ where the difference is not 0. The output is the final array. */
/* 这个方法有两个数组,newLabelArray 和 oldLabelArray。它使用两个数组的元素生成一个合并数组 merged_,它计算两个数组中每个元素的出现次数。然后它创建第三个数组 final,其中包含 merged_ 的元素,其中差异不为 0。输出是最终数组。 */
7.Improve Performance
7.提高性能
Instruction 操作说明
How can I improve the performance of this code?
genrateLabelDiffArray(newLabelArray,oldLabelArray=[])
let new_ =[],old_=[],merged_=[];
newLabelArray.forEach((lbl)=>
if(new_[lbl] === undefined) new_[lbl] =0;merged_[lbl]=0;
++new_[lbl];
++merged_[lbl];
);
oldLabelArray.forEach((lbl)=>
if(old_[lbl] === undefined) old_[lbl] =0;
if(merged_[lbl] === undefined) merged_[lbl] =0;
++old_[lbl];
--merged_[lbl]
);
let final = [];
merged_.forEach((value,key)=>
if(value!=0)
// final[key.toString()] = value;
final.push(key+":"+value);
)
return final;
Response 回复
Use ES6 syntax to simplify the code.
Use a hashmap instead of looping through the arrays.
Use a single loop to build the final array instead of two loops.
Use array methods instead of for-each loops.
Use optimized data structures like Set and Map.
Instruction 操作说明
Rewrite this code with performance improvements?
genrateLabelDiffArray(newLabelArray,oldLabelArray=[])
let new_ =[],old_=[],merged_=[];
newLabelArray.forEach((lbl)=>
if(new_[lbl] === undefined) new_[lbl] =0;merged_[lbl]=0;
++new_[lbl];
++merged_[lbl];
);
oldLabelArray.forEach((lbl)=>
if(old_[lbl] === undefined) old_[lbl] =0;
if(merged_[lbl] === undefined) merged_[lbl] =0;
++old_[lbl];
--merged_[lbl]
);
let final = [];
merged_.forEach((value,key)=>
if(value!=0)
// final[key.toString()] = value;
final.push(key+":"+value);
)
return final;
Response 回复
// Rewritten Code
function genrateLabelDiffArray(newLabelArray, oldLabelArray = [])
let new_ = ,
old_ = ,
merged_ = ,
final = [];
newLabelArray.forEach((lbl) =>
new_[lbl] = new_[lbl] ? new_[lbl] + 1 : 1;
merged_[lbl] = merged_[lbl] ? merged_[lbl] + 1 : 1;
);
oldLabelArray.forEach((lbl) =>
old_[lbl] = old_[lbl] ? old_[lbl] + 1 : 1;
merged_[lbl] = merged_[lbl] ? merged_[lbl] - 1 : -1;
);
Object.entries(merged_).forEach(([key, value]) =>
if (value !== 0)
final.push(key + ":" + value);
);
return final;
8.Check for Security
8.检查安全
Instruction 操作说明
Find potential security issues in this code
import database
search_term = input("Enter a search term: ")
query = "SELECT * FROM users WHERE name = '" + search_term + "'"
results = database.query(query)
print(results)
Response 回复
A lack of input validation: the user-supplied search term is not being validated to ensure it is safe to use in a database query. This could leave the system open to SQL injection attacks.
缺乏输入验证:用户提供的搜索词没有经过验证以确保在数据库查询中使用它是安全的。这可能会使系统容易受到 SQL 注入攻击。
A lack of output encoding: the results from the database are not being encoded before they are printed. This could leave the system open to cross-site scripting attacks.
缺少输出编码:数据库中的结果在打印之前没有经过编码。这可能会使系统容易受到跨站点脚本攻击。
Instruction 操作说明
Rewrite this code with fix to potential security issues
import database
search_term = input("Enter a search term: ")
query = "SELECT * FROM users WHERE name = '" + search_term + "'"
results = database.query(query)
print(results)
Response
import database
# Get the user-supplied search term
search_term = input("Enter a search term: ")
# Use the user-supplied search term to query the database
query = "SELECT * FROM users WHERE name = %s"
results = database.query(query, (search_term,))
# Print the results
print(results)
Find Style Issues
Instruction
Identify potential issues that EsLint would find in this code
genrateLabelDiffArray(newLabelArray,oldLabelArray=[])
let new_ =[],old_=[],merged_=[];
newLabelArray.forEach((lbl)=>
if(new_[lbl] === undefined) new_[lbl] =0;merged_[lbl]=0;
++new_[lbl];
++merged_[lbl];
);
oldLabelArray.forEach((lbl)=>
if(old_[lbl] === undefined) old_[lbl] =0;
if(merged_[lbl] === undefined) merged_[lbl] =0;
++old_[lbl];
--merged_[lbl]
);
let final = [];
merged_.forEach((value,key)=>
if(value!=0)
// final[key.toString()] = value;
final.push(key+":"+value);
)
return final;
Response 回复
//ESLint would find the following issues:
Missing semicolons (potential syntax errors)
Missing spacing after 'forEach' statements
Unused variables (e.g. 'old_')
Missing spacing between operators (e.g. '++new_[lbl]')
番外篇:The Future of AI in Software Development 人工智能在软件开发中的未来
-
Anand Das 阿南达斯
-
February 14, 2023 2023 年 2 月 14 日
https://bito.co/the-future-of-ai-in-software-development/
AI has come a long way in recent years and has become an integral part of software development. From strategic decision-making to enabling sophisticated applications, AI is changing the way software is developed, tested and delivered.
近年来,人工智能取得了长足的进步,并已成为软件开发不可或缺的一部分。从战略决策到启用复杂的应用程序,人工智能正在改变软件的开发、测试和交付方式。
In this blog, we'll explore the current state of AI in software development, its impact, and its future. We'll also cover how software developers can incorporate AI in their development practices.
在这篇博客中,我们将探讨人工智能在软件开发中的现状、影响和未来。我们还将介绍软件开发人员如何将 AI 纳入他们的开发实践。
Importance of AI in Software Development
人工智能在软件开发中的重要性
AI has been a buzzword for years, but in the last decade, it has become a critical aspect of software development. AI technologies are changing the way software is developed, tested, and delivered, making it faster, better, and more efficient.
人工智能多年来一直是一个流行词,但在过去十年中,它已成为软件开发的一个重要方面。人工智能技术正在改变软件的开发、测试和交付方式,使其更快、更好、更高效。
AI has a profound impact on software development as it enables the creation of more sophisticated and intelligent applications. With AI, software developers can identify common errors, optimize processes, and provide better user experiences.
人工智能对软件开发有着深远的影响,因为它可以创建更复杂、更智能的应用程序。借助人工智能,软件开发人员可以识别常见错误、优化流程并提供更好的用户体验。
Current State of AI in Software Development
人工智能在软件开发中的现状
AI in software development refers to the use of AI technologies and tools to develop software applications. It encompasses various subfields, such as machine learning, natural language processing, and computer vision, among others.
软件开发中的人工智能是指使用人工智能技术和工具来开发软件应用程序。它包含各种子领域,例如机器学习、自然语言处理和计算机视觉等。
A. Overview of Current AI Technologies used in Software Development
A. 软件开发中使用的当前 AI 技术概述
Currently, AI technologies used in software development include machine learning, natural language processing, computer vision, and deep learning. These technologies are used to provide real time feedback, improve the accuracy of predictions, and optimize processes, among other things.
目前,用于软件开发的人工智能技术包括机器学习、自然语言处理、计算机视觉和深度学习。这些技术用于提供实时反馈、提高预测准确性和优化流程等。
B. Use Cases of AI in Software Development
B. 人工智能在软件开发中的用例
AI technologies are widely used in various industries and applications, such as chatbots, recommendation systems, voice assistants, and autonomous vehicles, among others.
人工智能技术广泛应用于各种行业和应用,例如聊天机器人、推荐系统、语音助手和自动驾驶汽车等。
Companies such as Netflix, Amazon, and Alexa are leading the way in using AI to enhance their offerings and user experiences.
Netflix、亚马逊和 Alexa 等公司在使用 AI 来增强其产品和用户体验方面处于领先地位。
Impact of AI on Software Development
人工智能对软件开发的影响
A. Advantages of using AI in Software Development
A. 在软件开发中使用 AI 的优势
The use of AI in software development brings many benefits, such as improved accuracy, faster delivery times, and better user experiences. AI technologies can automate repetitive tasks, enabling software developers to focus on more complex tasks and projects.
在软件开发中使用 AI 带来了许多好处,例如提高准确性、缩短交付时间和改善用户体验。人工智能技术可以自动执行重复性任务,使软件开发人员能够专注于更复杂的任务和项目。
B. Challenges and Limitations of AI in Software Development
B. 人工智能在软件开发中的挑战和局限
Despite its many benefits, AI in software development also poses some challenges and limitations, such as data privacy and security concerns, ethical considerations, and the potential for job loss.
尽管有很多好处,软件开发中的人工智能也带来了一些挑战和限制,例如数据隐私和安全问题、道德考虑以及失业的可能性。
C. Ethical Concerns of AI in Software Development
C. 人工智能在软件开发中的伦理问题
The use of AI raises ethical concerns, such as data privacy and security, bias, and transparency. Software developers must be mindful of these concerns when incorporating AI in their practices.
人工智能的使用引发了伦理问题,例如数据隐私和安全、偏见和透明度。软件开发人员在将 AI 纳入其实践时必须注意这些问题。
Learn about AI Ethics: Balancing Benefits & Risks for Society on BITO's blog: website blog link.
在 BITO 的博客上了解 AI 伦理:平衡社会的利益和风险:website blog link。
Future of AI in Software Development
人工智能在软件开发中的未来
A. Rapid Growth of AI in Software Development
A. 人工智能在软件开发中的快速增长
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AI is becoming an increasingly important part of software development, with an estimated global market size of over $180 billion by 2025. (Source: Global Market Insight)
人工智能正成为软件开发中越来越重要的一部分,预计到 2025 年全球市场规模将超过 1800 亿美元。(来源:Global Market Insight) -
According to a recent study by Accenture, 82% of organizations are already investing in AI and expect to double their investment in the next three years.(Source: Accenture)
根据埃森哲最近的一项研究,82% 的组织已经在投资人工智能,并预计在未来三年内将投资翻一番。(来源:埃森哲) -
Another study by Deloitte shows that 94% of business leaders surveyed agree that AI is critical to success over the next five years. (Source: Deloitte)
德勤的另一项研究表明,94% 的受访企业领导者同意人工智能对于未来五年的成功至关重要。(资料来源:德勤)
B. Automation of Repetitive Tasks
B. 重复任务的自动化
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AI technologies can automate many of the tedious and time-consuming tasks involved in software development, freeing up time and resources for software developers to focus on more complex and strategic tasks.
人工智能技术可以将软件开发中涉及的许多繁琐且耗时的任务自动化,从而为软件开发人员腾出时间和资源,让他们专注于更复杂、更具战略意义的任务。 -
For example, AI can be used to automate coding, testing, debugging, and deployment processes, enabling software developers to complete these tasks faster and with greater accuracy.
例如,人工智能可用于自动化编码、测试、调试和部署过程,使软件开发人员能够更快、更准确地完成这些任务。 -
Research shows that AI-powered automation can result in up to 40% increased productivity and 60% faster delivery times for software development projects.
研究表明,人工智能驱动的自动化可以使软件开发项目的生产力提高多达 40%,交付时间缩短 60%。
C. Development of AI-powered Tools and Platforms
C. 人工智能工具和平台的开发
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AI-powered tools and platforms are emerging that can help software developers to build and deploy AI applications faster and more effectively.
AI 驱动的工具和平台不断涌现,可以帮助软件开发人员更快、更有效地构建和部署 AI 应用程序。 -
These tools provide software developers with new levels of visibility, insights, and control over the development process, enabling them to work more efficiently and effectively.
这些工具为软件开发人员提供了新级别的可见性、洞察力和对开发过程的控制,使他们能够更高效地工作。 -
A recent study by McKinsey found that AI-powered tools and platforms can reduce development time by up to 20%, enabling software developers to deliver AI applications to market faster. (Source: McKinsey)
麦肯锡最近的一项研究发现,人工智能驱动的工具和平台可以将开发时间缩短多达 20%,使软件开发人员能够更快地将人工智能应用程序推向市场。(来源:麦肯锡)
D. Emphasis on Ethical AI Development
D. 强调人工智能的道德发展
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As AI becomes more widely adopted, there is a growing emphasis on ethical considerations and principles in AI development.
随着 AI 的应用越来越广泛,人们越来越重视 AI 开发中的伦理考虑和原则。 -
Software developers must be aware of the latest best practices and guidelines for ethical AI development, in order to ensure that their AI applications are safe, secure, and trustworthy.
软件开发人员必须了解道德人工智能开发的最新最佳实践和指南,以确保他们的人工智能应用程序安全、可靠和值得信赖。
Learn about AI Ethics: Balancing Benefits & Risks for Society on BITO's blog: website blog link.
在 BITO 的博客上了解 AI 伦理:平衡社会的利益和风险:website blog link。
Challenges in AI in Software Development:
人工智能在软件开发中的挑战:
A. Explainability A. 可解释性
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Difficulty in understanding the decision-making process of AI systems
难以理解人工智能系统的决策过程 -
Lack of explainability can lead to mistrust in the technology
缺乏可解释性可能导致对技术的不信任 -
Addressing explainability is crucial for successful and trusted AI-powered software development.
解决可解释性问题对于成功且受信任的 AI 支持的软件开发至关重要。
B. Bias B. 偏见
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AI systems are only as good as the data they are trained on
人工智能系统的好坏取决于它们接受训练的数据 -
Bias in data can lead to unfair and discriminatory decisions
数据偏差可能导致不公平和歧视性的决定 -
Ensuring diverse and representative data is critical in addressing bias in AI systems.
确保多样化和有代表性的数据对于解决人工智能系统中的偏见至关重要。
C. Ethical Issues C. 伦理问题
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Concerns around data privacy, accountability, and transparency
对数据隐私、问责制和透明度的担忧 -
Importance of developing and using AI systems in accordance with moral standards
按照道德标准开发和使用人工智能系统的重要性 -
Addressing ethical issues is crucial for the widespread adoption of AI.
解决伦理问题对于人工智能的广泛采用至关重要。
D. Integration D、整合
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Difficulty in integrating AI systems into existing systems and workflows
难以将人工智能系统集成到现有系统和工作流程中 -
Importance of developing AI systems designed for integration and clear guidelines for integration
开发专为集成设计的 AI 系统的重要性和明确的集成指南 -
Addressing integration challenges is crucial for the widespread adoption of AI in software development.
解决集成挑战对于在软件开发中广泛采用 AI 至关重要。
Conclusion: 结论:
AI is transforming software development, and its future is bright. AI is increasingly important in software development, from automating repetitive tasks to improving accuracy and user experience.
人工智能正在改变软件开发,它的未来是光明的。人工智能在软件开发中越来越重要,从自动化重复性任务到提高准确性和用户体验。
Solving AI adoption difficulties like explainability, prejudice, and ethics is essential to the success and trust of AI-powered software development. As AI grows, developers must stay informed of the latest advances and best practises.
解决 AI 采用困难,如可解释性、偏见和道德规范,对于 AI 驱动的软件开发的成功和信任至关重要。随着 AI 的发展,开发人员必须随时了解最新进展和最佳实践。
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Anand Das 阿南达斯
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Co-founder and CTO of Bito
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Bito 联合创始人兼CTO
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He leads technical strategy and engineering, and is our biggest user! Formerly, Anand was CTO of Eyeota, a data company acquired by Dun & Bradstreet. He is co-founder of PubMatic, where he led the building of an ad exchange system that handles over 1 Trillion bids per day.
他领导技术战略和工程,是我们最大的用户!此前,Anand 是 Eyeota 的首席技术官,这是一家被 Dun & Bradstreet 收购的数据公司。他是 PubMatic 的联合创始人,在那里他领导建立了一个每天处理超过 1 万亿次出价的广告交易系统。
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分享关于编程的技艺,禅与道,程序设计的哲学、思想与艺术。(禅与计算机程序设计艺术)
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