Anthropic Claude 3.7 Sonnet: Influencers weigh in on AI impact on coding, reveals GlobalData

Anthropic, an American artificial intelligence (AI) public-benefit startup, has recently unveiled its first hybrid reasoning AI model “Claude 3.7 Sonnet,” along with its agentic coding tool “Claude Code.” The release has sparked significant buzz among social media influencers in late February 2025. Claude Code has garnered attention for its ability to automate and streamline complex coding tasks, with users reporting remarkable efficiency in task completion, reveals the Social Media Analytics Platform of GlobalData, a leading data and analytics company

Shreyasee Majumder, Social Media Analyst at GlobalData, comments: “Influencer sentiment surrounding Claude Code is mixed. While many are optimistic about its potential to significantly reduce development time and effort, some express concern over the cost, citing the expense associated with running even relatively simple requests.”

Despite the cost concerns, there is a consensus that the value provided by Claude Code justifies the expense for many coding tasks.

Majumder adds: “There is optimism surrounding Sonnet 3.7’s speed and overall improvement compared to previous versions, but it is noted that those improvements may be difficult to fully appreciate through the Claude chat interface alone. Some influencers have shared that in early testing, Claude Code completed tasks in one pass that would normally take over 45 minutes of manual work.”

Below are a few popular influencer opinions captured by GlobalData’s Social Media Analytics Platform:

  1. Fred Oliveira, VP of Engineering at Capital Factory:

“Claude Code looks great so far, but I sure am glad they included a /cost command, because at 50 cents for a relatively simple couple of requests, this thing eats coins. Whether I think it is worth the cost is another matter, and I happen to think it is.”

  1. Pietro Schirano, Co-Founder at EverArt:

“Claude Code is a command line tool that lets developers delegate substantial engineering tasks to Claude directly from their terminal. In early testing, Claude completed tasks in one pass that would normally take 45+ minutes of manual work.”

  1. Dan Shipper, Co-founder & CEO at Every:

“Claude Sonnet 3.7 is out! We’ve had access for a few days @every and here’s a vibe check: It’s extremely fast. And it’s definitely better than 3.5 Sonnet. But other than that, though, I couldn’t tell! And I mean that honestly…it could be a totally genius model and it would be hard to say right now. I only had access through the Claude chat interface and LLM performance is basically already good enough there, so differences are hard to spot. It’s like getting a new graphics card and testing it out by doing your email. I’m psyched to try Claude Code though—and we’ll have a lot more thoughts once we’ve given it a thorough test drive.”

  1. Deedy Das, Principal at Menlo Ventures:

“Claude Code w/Sonnet 3.7 is the closes thing to AGI I’ve seen. It’s magic. It built this Connect 4 app from scratch that 1. supports mobile 2. a minimax-tree AI 3. frontend, backend, DBs, git, and deploy! ~5000 lines of code, 30mins, $10. Why use Cursor anymore?…”

  1. John Rush, Founder at MarsX Inc:

“36. Claude Code can search code, run tests, and push to GitHub. Claude Code is a CLI tool that lets you delegate engineering tasks to Claude with full access to your codebase, tests, and GitHub – all from your terminal.”

  1. Rowan Cheung, Founder & CEO at The Rundown:

“Anthropic released the world’s first hybrid reasoning AI ‘Claude 3.7 Sonnet’ and a new CLI coding agent ‘Claude Code’ 3.7 achieves SOTA performance on real-world coding benchmarks and agentic tool use, beating o1, o3-mini, and DeepSeek R1.”

Majumder concludes: “As AI technology evolves, hybrid reasoning models like Claude 3.7, integrated with existing development tools, have the potential to revolutionize software development. However, as influencers’ feedback suggests, their full impact will only become clear through comprehensive testing and deeper insights into their long-term influence on development workflows and cost-effectiveness. The true value of these innovations will unfold with continued practical application and analysis.”