B
Evidence Grade B
Graded
under review
Safe to Cite
Current
4
4 -- ai tool adoption increase for companies running agentic coding workflows with tools like Claude Code (2026)
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Lighthouse Research Team
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Source verified
Evidence graded
Value
4
Unit
Multiple
Data Vintage
2026
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
75
Source Trust
50
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
Jellyfish
Primary
Tier B
https://jellyfish.co/library/ai-engineering-trends-2026 ↗
Source Article
How to Monitor Claude Code Usage Across Your Engineering Team
In this article
When an AI coding tool reaches mass adoption in under eight months, the rollout usually moves faster than the measurement strategy behind it.
That’s what happened with Claude Code. The Pragmatic Engineer’s February 2026 survey of 15,000 developers ranked it as the most-used AI coding…
Original Research
Jellyfish
· Original study ↗
Methodology
Jellyfish’s AI Engineering Trends data
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
companies running agentic coding workflows with tools like Claude Code: 4 ai tool adoption increase. Source: Jellyfish (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/jellyfish_ai_engineering_trends_2026
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<blockquote cite="https://lighthousedata.io/data/jellyfish_ai_engineering_trends_2026" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>4</strong> -- ai tool adoption increase for companies running agentic coding workflows with tools like Claude Code<br><small>Source: Jellyfish (2026) · <a href="https://lighthousedata.io/data/jellyfish_ai_engineering_trends_2026" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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