Research
by Crypto Rich
March 13, 2026

Crypto developer activity has hit multi-year lows with commits down 75% and active devs dropping 56%, as AI absorbs GitHub's talent boom.
Crypto is losing developers at its fastest pace in years, and AI is where they're going. Weekly code commits across public blockchain repositories have dropped roughly 75% since early 2025, falling from around 850,000 to about 210,000. Weekly active developers are down 56% to approximately 4,600. The data, tracked by analytics firm Artemis across 141 ecosystems, paints a picture that is hard to spin: the builder class is thinning out.
Meanwhile, GitHub added 36 million new developers in 2025 alone, pushing its total user base past 180 million. AI-related repositories nearly doubled in under two years to 4.3 million. Repos importing large language model SDKs surged 178% year over year to more than 1.13 million. The talent isn't disappearing from tech. It's just not choosing crypto so much anymore.
Nearly every ecosystem is bleeding. Ethereum's weekly active developer count dropped 34% over three months to 2,811, while commits fell 54%. Solana shed 40% of its developers, landing at 942. Base, the Coinbase-incubated Layer 2 that was one of 2024's fastest risers, saw its developer count slide 52% to around 378.
Newer chains got hit even harder:
The only bright spot? Wallet infrastructure, which grew about 6% to 308 developers. That's a tiny pocket of growth in an otherwise shrinking field.
Electric Capital's developer report, updated March 9, adds important context. Monthly active crypto developers currently sit at around 31,096, with 9,366 classified as full-time. The sector peaked at roughly 31,000 monthly active developers in 2022, then dipped to about 23,600 in 2024. The current figure suggests a stabilization around peak levels in terms of headcount, but the composition has shifted dramatically.
It is worth noting that Electric Capital's monthly figures track a broader set of repos than Artemis's weekly public-chain data, which accounts for the difference in severity between the two datasets.
Developers with two or more years of tenure grew 27% year over year and now produce about 70% of all commits. The ones leaving are newcomers and part-timers. Contributors with less than 12 months of experience dropped 58%.
The casual builders are gone. The veterans are still here, doing most of the work.
Some full-time growth does exist. Bitcoin's full-time developer base grew 77.5%, and Solana's full-time cohort expanded nearly 40% over two years. So while the headline numbers look grim, the remaining workforce is more concentrated and more experienced.
The math is not complicated. AI venture capital funding hit roughly $211 billion in 2025, accounting for nearly half of all global VC. Crypto venture funding landed around $19.7 billion over the same period. That is a 10-to-1 gap.
LinkedIn's January 2026 labor market report tracked 1.3 million new AI jobs created between 2023 and 2025. AI engineer roles grew 13x. Certain forward-deployed and product management positions expanded 42x. Salary-wise, AI engineers often pull $150,000 to $400,000 in base compensation, while crypto developer averages hover between $110,000 and $150,000 plus equity tied to token prices.
The talent drain is not hypothetical. Several prominent builders have already made the jump. Akshay BD, a five-year Solana ecosystem veteran, stepped away. Anthony Rose departed zkSync after four years. Nader Dabit left Eigen Labs for Cognition AI. Kyle Samani, managing partner at Multicoin Capital, shifted focus toward AI and robotics.
These are not junior developers chasing hype. These are senior infrastructure builders, and their exits make the point clearer than any dashboard can.
Historically, crypto developer activity follows market cycles. Bear markets lose casual contributors, bull markets attract fresh talent. But this cycle is different because the alternative is so strong. AI's commercial demand, funding scale, and visible pace of innovation create a gravitational pull that previous downturns never had to compete with.
There is a silver lining worth noting. AI coding tools like GitHub Copilot mean fewer commits can produce the same output. Some of the decline in raw numbers may reflect efficiency gains, not just attrition. And the growing intersection between AI and crypto, from decentralized AI agents to on-chain machine learning, could eventually bring developers back.
But for now, the industry faces a real question: Can a leaner, more experienced developer base maintain the pace of protocol innovation? Or does losing fresh blood hurt in ways that won't show until the next cycle demands it?
Sources:
Disclaimer
Disclaimer: The views expressed in this article do not necessarily represent the views of BSCN. The information provided in this article is for educational and entertainment purposes only and should not be construed as investment advice, or advice of any kind. BSCN assumes no responsibility for any investment decisions made based on the information provided in this article. If you believe that the article should be amended, please reach out to the BSCN team by emailing info@bsc.news.
Author

Crypto Rich
Rich has been researching cryptocurrency and blockchain technology for eight years and has served as a senior analyst at BSCN since its founding in 2020. He focuses on fundamental analysis of early-stage crypto projects and tokens and has published in-depth research reports on over 200 emerging protocols. Rich also writes about broader technology and scientific trends and maintains active involvement in the crypto community through X/Twitter Spaces, and leading industry events.
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