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GitHub Copilot

GitHub Copilot is an AI-powered code completion tool integrated into editors to assist individual developers and teams writing software.

Primary category: Coding
About this data
This page reflects public online discussion, collected and scored by automated systems and summarized using AI. It is not a statement of fact, not an audit, and not our own opinion of the product. Automated analysis can be incomplete or wrong, and scores carry the limitations described in our methodology. Companies can respond with their own perspective. See how this is calculated.

Updated July 13, 2026

Overall Pulse Score

51
Pulse Score

-6 over this period

A 0-100 index summarizing the tone of 1,323 relevant public mentions gathered from public online communities across 25 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.

Weekly Sentiment Trend

Pulse Score by week over the selected period. Each point is one complete week of mentions.

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This week in public discussion

Recent discussion around GitHub Copilot reflected a modest uptick in sentiment, with commenters frequently praising new feature releases and AI quality improvements. Several mentions highlighted useful capabilities like responsive layout assistance and the addition of new models such as Kimi K2.7. However, a notable share of posts centered on bugs and reliability concerns, including reports of a service outage leaving models inaccessible. Pricing changes drew consistent criticism, with some commenters describing the premium request limits as unreasonably restrictive.

Read the deeper analysis

AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.

Sentiment mix by week

How the tone of public discussion splits each week.

Most-discussed praise

Strong features298
Good integrations126
New releases111
AI quality108
Easy to use81

Most-discussed complaints

Bugs169
Pricing changes160
Pricing too high144
Missing features131
Compared to rivals127

Themes across the selected period, with mention counts.

How GitHub Copilot compares

Pulse Score over the selected period versus the top tracked competitors in Coding.

Where the mentions come from

Share of the 1,323 relevant public mentions in the selected period, by source.

Hacker News46% (606)
GitHub23% (308)
Bluesky17% (231)
YouTube13% (178)

Sample public mentions

Showing 5 of 1,323 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

GitHub Copilot made some comments and change requests to th PR, Claude called them bullshit, and dismissed them. The girls are fighting.

BlueskyJun 25, 2026

Re: "GitHub Copilot Just Died". Looks like people are going back to writing their own code again. If they drop code completions/intellisense I'll be pissed. We had that before this big LLM push

YouTubeApr 27, 2026

Re: "GitHub Copilot Just Died". I would be so fucking excited if my workplace eventually cut the copilot enterprise contract. I could enjoy coding again 🙏

YouTubeApr 28, 2026

Re: "GitHub Copilot Just Died". "Please right align this button" "No, it should aligned right below the other button" "No not that button, it should be aligned to the button on top" "No, remove the new button class and use the existing button component"

YouTubeApr 28, 2026

Re: "Testing GitHub Copilot's Pricing After June 1st". I burned through 25% with casual queries, first day... I have the copilot pro plus used to be enough for the whole month

YouTubeJun 3, 2026

2,492+ more analyzed mentions, full history, and theme breakdowns are part of Pro.

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Deeper analysis

  • Feature releases and new model integrations dominated praise and lifted sentiment heading into early July.
  • Sentiment dropped sharply in late May and early June before recovering, with a mid-June outage appearing to anchor the low point in discussion.
  • Pricing changes were the sharpest point of division, splitting commenters between frustration and resigned acceptance.
  • Bug and reliability complaints remained the largest complaint category even as overall tone improved across the final two weeks.
Praise themeMentions
Strong features298
Good integrations126
New releases111
AI quality108
Easy to use81
Complaint themeMentions
Bugs169
Pricing changes160
Pricing too high144
Missing features131
Compared to rivals127

Discussion around GitHub Copilot over the past four weeks painted a picture of a product pulling in sharply opposite directions, with commenters oscillating between genuine enthusiasm for new capabilities and real frustration with stability and cost. The dominant praise thread centered on feature activity, with a large cluster of mentions highlighting recent releases and specific functional wins. Several commenters pointed to things like responsive layout assistance and the arrival of new model integrations as signs that the product is actively improving, and the tone in those conversations was often genuinely appreciative rather than just neutral acknowledgment.

At the same time, bugs and reliability drew the single largest complaint cluster in the window. A notable outage around mid-June surfaced in discussion, with commenters describing post-incident states where model selection interfaces appeared broken for extended periods. The incident seemed to concentrate negative sentiment sharply, and the score trajectory reflects this: sentiment dropped to its lowest point in early June before beginning a recovery arc that accelerated noticeably in late June and into early July.

Pricing emerged as a fault line that divided opinion more than any other single topic. Several mentions expressed pointed anger at recent billing changes, with some commenters describing the shift as effectively killing their usage. Others framed the same changes as an expected maturation of the market, suggesting the free-tier era was always temporary. The divide felt less like a feature debate and more like a values disagreement about what the product is supposed to be.

By the final two weeks of the window the score had climbed meaningfully and mention volume remained high, suggesting that positive reactions to new model availability and feature drops were outpacing the residual dissatisfaction. Still, the conversation retained an undercurrent of wariness, particularly around whether reliability had genuinely recovered or just stabilized temporarily.

AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.

Member perspectives

Individual opinions from Pro members, posted over time. These are personal member views, not aggregated sentiment data.

Data summary

Total mentions analyzed (all time)
2,497
Mentions in selected period
1,323
Weeks in range
25
vs Coding average (46)
Above by 5
Pricing
Free tier; paid plans available
Sources
Hacker News (606), GitHub (308), Bluesky (231), YouTube (178)

Compare with another tool

GitHub Copilot

51

Trainual

88

Full comparison

Score-level preview from live weekly tracking.

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