Recent data from GitHub analytics primarily tracked via platforms like Artemis confirms a major drawdown in blockchain and crypto developer activity, with sharp declines in both the number of active developers and code commits since early 2025.
This trend has continued into early 2026. Weekly code commits to crypto/blockchain repositories have fallen roughly 75% since early 2025, dropping from around 850,000–871,000 to about 210,000–218,000. Weekly active developers in the space have declined by about 50–56%, from around 8,700 to approximately 4,600.
This contrasts sharply with overall GitHub growth: GitHub’s total developer base grew to over 180 million in 2025–2026, with platform-wide commits up ~25% year-over-year and ~36 million new developers added in 2025 alone.
Much of the shift is attributed to the boom in AI projects, which have seen explosive growth with over 4.3 million AI-related repositories, surging contributions to generative AI tools. The decline appears broad-based across major ecosystems: Ethereum: Weekly active developers down ~34% in recent months.
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Solana: Down ~40%. Base and others like Aptos, BNB Chain: Even steeper drops in some cases; 52–85% in commits or devs for certain chains. Electric Capital’s developer reports shows the sector peaked around 31,000 monthly active developers in 2022, fell to ~23,600 by 2024, with further estimated declines toward ~18,000 by mid-2025.
Some analyses suggest consolidation rather than total collapse—experienced developers (2+ years in crypto) now contribute ~70% of commits and have grown 27% year-over-year, while newcomers and part-timers exit.Reasons cited in reports include: Talent migration to higher-opportunity areas like AI infrastructure.
Market conditions, Regulatory pressures and a shift toward closed-source or app-focused development. GitHub data does indeed show a significant and ongoing drawdown in blockchain-specific developer engagement and output, even as the broader software ecosystem thrives. This is a notable trend as of March 2026.
AI developer growth trends show explosive expansion, both in adoption of AI tools among existing developers and in the creation of AI-focused projects on platforms like GitHub. This stands in stark contrast to the declines seen in blockchain/crypto developer activity (as discussed previously), with much of the broader software ecosystem’s momentum shifting toward AI.
Global software developers reached approximately 20.8 million in 2025, with strong growth in regions like China (4.04 million), India (3.85 million), and the US (3.18 million). Python’s community has added roughly 1 million developers annually for the past four years, largely driven by its dominance in AI and data science.
AI tool adoption among developers is near-universal:84-85% of developers use or plan to use AI tools in their workflows (Stack Overflow 2025 survey: 84%; JetBrains Developer Ecosystem 2025: 85% regularly use them for coding). 51% of professional developers use AI tools daily, and 62% rely on at least one AI coding assistant, agent, or editor.
80% of new GitHub developers start using tools like GitHub Copilot in their first week. GitHub’s total developer base exceeded 180 million in 2025, with 36 million new developers added in a single year (a new one every second), fueled heavily by AI interest. Platform-wide commits rose ~25% YoY, and repositories hit over 630 million.
GitHub and Open-Source AI Growth
GitHub’s Octoverse 2025 report highlights AI as the dominant driver: Over 4.3 million AI-related repositories exist, with LLM-focused projects surging 178% YoY. More than 1.1 million public repositories use LLM SDKs, including 693,867 new ones in the past 12 months.
Monthly contributors to generative AI projects jumped from ~68,000 in early 2024 to 200,000 by mid-2025. 6 of the top 10 fastest-growing open-source projects are AI-related (e.g., agent tools, model hubs, frameworks). AI compatibility influences language choice.
TypeScript overtook Python and JavaScript as the #1 language on GitHub by August 2025 due to strong AI tool support and typed safety aiding reliable generation. Python remains hugely influential for AI/ML work. This has created “convenience loops” where AI tools favor certain languages/frameworks, boosting their adoption further.
Agentic AI dominates: Autonomous agents (planning, executing, iterating) command massive attention, with predictions that 40% of enterprise apps will embed them by year-end up from <5% in 2025. AI-generated code is mainstream: 41% of code written in 2025 was AI-generated, with tools boosting productivity.
Developer roles are evolving: From pure coders to orchestrators of AI agents, with demand for skills in agent management, AI governance, and hybrid human-AI workflows. Junior roles face pressure on routine tasks, but premium pay goes to those overseeing AI systems.
AI software market growth remains robust ~27-36% CAGR in segments, with generative AI becoming embedded everywhere (multimodal models, synthetic data, etc.). AI has absorbed much of the talent and activity migrating from areas like blockchain, driving record platform growth and redefining development.
While some hype deflation or valuation corrections are discussed for 2026, adoption and infrastructure building show no signs of slowing—AI is now core infrastructure for software creation.