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favicon.ico: web.archive.org/web/20221218014430/https://github.com/features/copilot - Go.

site address: web.archive.org/web/20221218014430/https://github.com/features/copilot

site title: Go

Our opinion (on Thursday 17 September 2026 10:11:14 UTC):

GREEN status (no comments) - no comments
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Meta tags:
description=GitHub Copilot works alongside you directly in your editor, suggesting whole lines or entire functions for you.;

Headings (most frequently used words):

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Text of the page (random words):
asserttrue math isprime 17 asserttrue math isprime 19 asserttrue math isprime 23 asserttrue math isprime 29 copilot replay get ai based suggestions just for you github copilot shares recommendations based on the project s context and style conventions quickly cycle through lines of code complete function suggestions and decide which to accept reject or edit previous next accept visual studio code python max_sum_slice py 1 2 3 4 5 6 def max_sum_slice xs max_ending max_so_far 0 for x in xs max_ending max 0 max_ending x max_so_far max max_so_far max_ending return max_so_far copilot visual studio code python max_sum_slice py 1 2 3 4 5 6 7 8 9 def max_sum_slice xs if not xs return 0 max_ending max_slice 0 for x in xs max_ending max 0 max_ending x max_slice max max_slice max_ending return max_slice copilot visual studio code python max_sum_slice py 1 2 3 4 5 6 7 8 9 10 11 12 13 def max_sum_slice xs max_ending max_so_far 0 begin end 0 for i x in enumerate xs if max_ending x 0 max_ending x else max_ending 0 begin i if max_ending max_so_far max_so_far max_ending end i return begin end max_so_far copilot visual studio code python max_sum_slice py 1 2 3 4 5 6 7 8 9 10 11 12 def max_sum_slice xs if not xs return 0 current_max 0 max_so_far 0 for x in xs current_max max 0 current_max x max_so_far max max_so_far current_max return max_so_far copilot visual studio code python max_sum_slice py 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 def max_sum_slice xs max_sum 0 max_sum_so_far 0 start_index 0 end_index 0 for i in range len xs max_sum_so_far xs i if max_sum_so_far max_sum max_sum max_sum_so_far start_index i end_index i elif max_sum_so_far 0 max_sum_so_far 0 start_index i else end_index i return start_index end_index max_sum copilot visual studio code python max_sum_slice py 1 2 3 4 5 6 7 8 9 10 11 12 13 14 def max_sum_slice xs if len xs 0 return 0 max_sum 0 max_sum_ending_here 0 max_ending_here 0 for x in xs max_ending_here max 0 max_ending_here x max_sum_ending_here max max_sum_ending_here max_ending_here max_sum max max_sum max_sum_ending_here return max_sum copilot visual studio code python max_sum_slice py 1 2 3 4 5 6 7 8 9 10 11 12 13 def max_sum_slice xs best_sum best_start best_end 0 none none for i x in enumerate xs if best_start is none or best_sum x best_sum best_sum x best_sum best_start i best_end i elif best_sum x best_sum best_sum x best_sum best_end i return best_sum best_start best_end copilot visual studio code python max_sum_slice py 1 2 3 4 5 6 7 8 9 10 11 12 13 14 def max_sum_slice xs return a tuple i j where i is the index of the first slice with a max value and j is the index of the slice whose sum is the max if len xs 0 return none elif len xs 1 return 0 0 elif len xs 2 return 0 1 if xs 0 xs 1 else 1 0 else return max_sum_slice_helper xs 0 len xs 1 copilot keep flying with your favorite editor github copilot integrates directly into your editor including neovim jetbrains ides visual studio and visual studio code and is fast enough to use as you type visual studio neovim vs code jetbrains ides the numbers speak for themselves research has found github copilot helps developers code faster focus on solving bigger problems stay in the flow longer and feel more fulfilled with their work 74 focus on more satisfying work 88 feel more productive 96 are faster with repetitive tasks code confidently in unfamiliar territory whether you re working in a new language or framework or just learning to code github copilot can help you find your way tackle a bug or learn how to use a new framework without spending most of your time spelunking through the docs or searching the web fetch tweets draw a scatterplot memoization goodreads rating javascript fetch_tweets js python fetch_tweets py ruby fetch_tweets rb typescript fetch_tweets ts go fetch_tweets go 1 2 3 4 5 6 7 8 9 10 11 12 13 14 const token process env twitter_bearer_token const fetchtweetsfromuser async screenname count const response await fetch https api twitter com 1 1 statuses user_timeline json screen_name screenname count count headers authorization bearer token const json await response json return json copilot replay 1 2 3 4 5 6 7 8 9 10 11 import tweepy os secrets in environment variables def fetch_tweets_from_user user_name authentification auth tweepy oauthhandler os environ twitter_key os environ twitter_secret auth set_access_token os environ twitter_token os environ twitter_token_secret api tweepy api auth fetch tweets tweets api user_timeline screen_name user count 200 include_rts false return tweets copilot replay 1 2 3 4 5 6 7 8 9 10 11 12 require twitter def fetch_tweets_from_user handle twitter twitter rest client new do config config consumer_key env twitter_consumer_key config consumer_secret env twitter_consumer_secret config access_token env twitter_access_token config access_token_secret env twitter_access_token_secret end tweets twitter user_timeline handle tweets end copilot replay 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 const token process env twitter_bearer_token const fetchtweetsfromuser username string const url https api twitter com 1 1 statuses user_timeline json screen_name username count 20 return fetch url headers authorization bearer token then res res json then tweets tweets map tweet id tweet id text tweet text created_at tweet created_at user id tweet user id name tweet user name screen_name tweet user screen_name profile_image_url tweet user profile_image_url copilot replay 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 package main var apikey os getenv twitter_bearer_token type tweet struct text string func fetchtweetsfromuser user string tweet error url https api twitter com 1 1 statuses user_timeline json screen_name user count 200 req err http newrequest get url nil if err nil return nil err req header set authorization bearer apikey resp err http defaultclient do req if err nil return nil err defer resp body close if resp statuscode 200 return nil fmt errorf bad status d resp statuscode var tweets tweet if err json newdecoder resp body decode tweets err nil return nil err return tweets nil copilot replay javascript draw_scatterplot js python draw_scatterplot py ruby draw_scatterplot rb typescript draw_scatterplot ts 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 import d3 from d3 const drawscatterplot data height width const svg d3 select scatterplot append svg attr height height attr width width svg selectall circle data data enter append circle attr cx d d x attr cy d d y attr r 5 copilot replay 1 2 3 4 5 6 7 8 import matplotlib pyplot as plt def draw_scatterplot x_values y_values plt scatter x_values y_values s 20 plt title scatter plot plt xlabel x values plt ylabel y values plt show copilot replay 1 2 3 4 5 6 7 8 9 10 require gruff def draw_scatterplot x_values y_values g gruff scatter new 400 g title gcd g x_axis_label x g y_axis_label y g data data x_values y_values g write plot png end copilot replay 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 import d3 from d3 const drawscatterplot data array x number y number size number x d3 scalelinear number number y d3 scalelinear number number svg d3 selection svggelement unknown htmlelement any margin top number bottom number left number right number const width svg attr width margin left margin right const height svg attr height margin top margin bottom svg selectall remove const g svg append g attr transform translate margin left margin top const xaxis g append g attr transform translate 0 height call d3 axisbottom x copilot replay javascript memoize js python memoize py ruby memoize rb typescript memoize ts go memoize go 1 2 3 4 5 6 7 const memoize fn const cache return args const key json stringify args return cache key cache key fn args copilot replay 1 2 3 4 5 6 7 8 9 10 def memoize func cache def wrapper args if args in cache return cache args else cache args func args return cache args return wrapper copilot replay 1 2 3 4 def memoize func cache lambda args cache args func call args end copilot replay 1 2 3 4 5 6 7 8 9 10 11 12 const memoize fn function function const cache key string any return args any any const key json stringify args if cache key return cache key const result fn args cache key result return result copilot replay 1 2 3 4 5 6 7 8 9 10 11 package main func memoize fn func int int func int int cache make map int int return func n int int if v ok cache n ok return v cache n fn n return cache n copilot replay javascript rating js python rating py ruby rating rb typescript rating ts go rating go 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 const https require https const parsestring require xml2js parsestring const apikey process env goodreads_api_key const getrating title return new promise resolve reject https get https www goodreads com book title xml key apikey title title res let xml res setencoding utf8 res on data chunk xml chunk res on end parsestring xml err result if err reject err else resolve result goodreadsresponse book 0 average_rating copilot replay 1 2 3 4 5 6 7 8 9 10 import os requests json bs4 key os environ goodreads_api_key def get_rating title get the average rating of the book from goodreads and return a float url https www goodreads com book title xml key key title title response requests get url soup bs4 beautifulsoup response text xml rating soup find average_rating text return float rating copilot replay 1 2 3 4 5 6 7 8 9 10 require goodreads def get_rating_of_book_by_title title client goodreads client new api_key your_api_key api_secret your_api_secret book client book title book rating end copilot replay 1 2 3 4 5 6 7 8 9 10 11 12 13 const apikey process env goodreads_api_key const getrating title string return fetch https www goodreads com book title xml key apikey title title then res res text then res const parser new domparser const xml parser parsefromstring res text xml const rating xml getelementsbytagname average_rating 0 textcontent return rating catch error console log error copilot replay 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 package main import log net http net url os strconv github com beevik etree var apikey os getenv goodreads_api_key getrating gets the average rating of a book using the goodreads api func getrating title string float64 error u url url scheme https host www goodreads com path book title xml rawquery url values key apikey title title encode resp err http get u string if err nil return 0 err defer resp body close doc etree newdocument if _ err doc readfrom resp body err nil return 0 err ratings doc findelements average_rating if len ratings 0 return 0 nil rating err strconv parsefloat ratings 0 text 64 if err nil return 0 err return rating nil copilot replay flight reports hundreds of engineers including our own use github copilot every day this is the single most mind blowing application of machine learning i ve ever seen mike krieger co founder instagram github copilot works shockingly well i will never develop software without it again lars gyrup brink nielsen i was stunned when i started writing clojure with github copilot and it filled an idiomatic namespace require just like i was going to write it gunnika batra senior analyst trying to code in an unfamiliar language by googling everything is like navigating a foreign country with just a phrasebook using github copilot is like hiring an interpreter harri edwards open ai don t fly solo developers all over the world use github copilot to code faster focus on business logic over boilerplate and do what matters most building great software which plan is right for you copilot for individuals 10 per month 100 per year start a free trial plugs right into your editor turns natural language prompts into code offers multi line function suggestions speeds up test generation blocks suggestions matching public code copilot for business 19 per user per month contact sales everything included in copilot for individuals plus simple license management organization wide policy management industry leading privacy learn about github copilot terms and conditions frequently asked questions general what is github copilot github copilot is an ai pair programmer that helps you write code faster and with less work it draws context from comments and code to suggest individual lines and whole functions instantly github copilot is powered by openai codex a generative pretrained language model created by openai it is available as an extension for visual studio code visual studio neovim and the jetbrains suite of integrated development environments ides what data has github copilot been trained on github copilot is powered by codex a generative pretrained ai model created by openai it has been trained on natural language text and source code from publicly available sources including code in public repositories on github does github copilot write perfect code in a recent evaluation we found that users accepted on average 26 of all completions shown by github copilot we also found that on average more than 27 of developers code files were generated by github copilot and in certain languages like python that goes up to 40 however github copilot does not write perfect code it is designed to generate the best code possible given the context it has access to but it doesn t test the code it suggests so the code may not always work or even make sense github copilot can only hold a very limited context so it may not make use of helpful functions defined elsewhere in your project or even in the same file and it may suggest old or deprecated uses of libraries and languages when converting comments written in non english to code there may be performance disparities when compared to english for suggested code certain languages like python javascript typescript and go might perform better compared to other programming languages like any other code code suggested by github copilot should be carefully tested reviewed and vetted as the developer you are always in charge will github copilot help me write code for a new platform github copilot is trained on public code when a new library framework or api is released there is less public code available for the model to learn from that reduces github copilot s ability to provide suggestions for the new codebase as more examples enter the public space we integrate them into the training set and suggestion relevance improves in the future we will provide ways to highlight newer apis and samples to raise their relevance in github copilot s suggestions how does a customer get the most out of github copilot github copilot works best when you divide your code into small functions use meaningful names for functions parameters and write good docstrings and comments as you go it also seems to do best when it s helping you navigate unfamiliar libraries or frameworks how can a customer contribute by using github copilot and...
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