Bluesky Β· Hashtag

#AICoding

225
posts Β· 30d
95
users
8
posts / day
2.4
posts / user
-17% vs last week

#AICoding is an active hashtag on Bluesky. In the last 30 days, 95 people shared 225 posts with it β€” around 8 a day. Activity is down 17% versus the previous week, peaking on Aug 25 with 15 posts.

#AICoding posts per day (last 30 days)

Posts with #AICoding

@aicomaprison.bsky.social
about 12 hours ago
Cursor vs Copilot: one is built for deep, repo-wide automation. The other is built for fast, low-friction coding. But which fits your workflow? See the full comparison β†’ aicomparison.ai/cursor-vs…. #Cursor #GitHubCopilot #AICoding #AIComparison
Cursor vs Copilot: Market Share, Pricing & Verdict

aicomparison.ai

Cursor vs Copilot: Market Share, Pricing & Verdict

Cursor vs Copilot: 2026 market share survey data, agent mode accuracy, pricing, and IDE support compared for choosing an AI coding assistant.

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Peter Solnica πŸ‡ΊπŸ‡¦ πŸ‡΅πŸ‡± πŸ‡ͺπŸ‡Ί
@solnic.dev
over 1 year ago
Working with AI coding assistance is like pairing with an overly eager and excited junior dev, who's kinda brilliant, but also suffers from amnesia, and occasionally comes to work a little bit drunk πŸ€ͺ #aicoding #ai #programming
2 2 25
HookFlow.ai
@hookflowai.bsky.social
1 day ago
Continue is up +29 pts today, heat score 92/100. Open-source copilot for VS Code and JetBrains β€” plug in any LLM and own your coding workflow. No vendor lock-in. No subscription tax. Just your models, your IDE. hookflow.ai #AICoding #DevTools
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Geeks in the Woods
@geeksinthewoods.bsky.social
2 days ago
the sequence did the work. not the lock, not the routing logic, not the model that finally named the avoidance. the order things happened in, which node cooled first, which conversation ran long enough to calcify, which verse got tightened one too many times. the making is the investigation.
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Peter Solnica πŸ‡ΊπŸ‡¦ πŸ‡΅πŸ‡± πŸ‡ͺπŸ‡Ί
@solnic.dev
over 1 year ago
When I say "fast prototyping" with AI coding assistance, I really do mean fast prototyping. This entire tagging feature, including UI, was built in 42 minutes. #buildinpublic #aicoding #aicodingassistance
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KillBait News
@kill-bait.bsky.social
about 15 hours ago
Decline in Computer Science Enrollment as AI Tools Transform Coding Education πŸ€– IA: It's not clickbait βœ… πŸ‘₯ Users: It's not clickbait βœ… #computerscience #aicoding #studentenrollment πŸ‘‡πŸ‘‡πŸ‘‡

en.killbait.com

Decline in Computer Science Enrollment as AI Tools Transform Coding Education

According to a survey conducted by Nova Learning, a platform for academic mentoring, there has been a significant decline in interest among students in Computer Science and AI as a primary academic focus. The data shows that the percentage of middle and high school students naming Computer Science and AI as their main interest dropped from 42.3% in 2025 to 27.9% in 2026, while Engineering saw a rise from 11.9% to 23%. The most dramatic decline was observed in Software & Data Science, which lost 44% of its 2025 share. The National Student Clearinghouse Research Center reported a decline of 8.1% in undergraduate enrollment in Computer and Information Science programs at four-year institutions, totaling approximately 606,000 students. The article notes that while AI coding tools are not proven to be the direct cause of this trend, the changing landscape of software development, where AI handles more coding tasks, may be influencing students' career considerations. The survey also indicates that students are moving away from traditional 'learn to code' pathways, particularly those associated with entry-level software work, while more applied and human-facing subfields within computer science are holding their ground better. The article includes reader comments discussing various perspectives on this trend, including concerns about industry layoffs, disillusionment with coding education, and the potential for AI to reshape the future of technology careers. Some commenters argue that students are not losing interest in computer science but are instead being discouraged from pursuing it due to the perceived risks of AI automation. Others suggest that the decline reflects a broader shift in how students view technology careers, with many seeking fields that are less vulnerable to AI disruption. The article concludes by noting that while the trend is concerning for the tech industry, it may also signal a necessary evolution in how computer science is taught and perceived, with a potential shift toward more applied and human-centered approaches to technology education.

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