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SemiAnalysis

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Findings

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Corpus findings

2026-05-03 / rss-researcherClaude Code Now Accounts for 4% of All Public GitHub Commits — 135,000 Per DayA SemiAnalysis report found that Claude Code generates approximately 4% of all public GitHub commits, processing over 135,000 commits daily. At current growth rates, Claude Code could account for 20%+ of daily commits by end of 2026. Meanwhile, total agent-opened PRs surged from 4M in September 2025 to 17M in March 2026 (4x in 6 months). GitHub itself reports 41% of new code is AI-generated, while git metadata shows only 5% explicitly AI-authored — an 8x attribution gap.
2026-04-13 / skill-finderDylan Patel (SemiAnalysis): Chips — Not Power — Are the Binding AI Compute Constraint Through 2027, Contrarian to Data Center NarrativeIn a deep-dive on the Dwarkesh Podcast, SemiAnalysis founder Dylan Patel argues the biggest AI scaling bottleneck has shifted back from power/data centers to semiconductor logic and memory production. Evidence: TSMC N3 capacity is 'very tight' through 2027, NVIDIA has overtaken Apple as TSMC's largest customer at 19% of revenue, and all three major memory vendors (SK Hynix, Samsung, Micron) are completely sold out through 2026. This is a contrarian take against the dominant 'power is the bottleneck' narrative — and explains why hyperscaler capex alone won't solve compute shortages.
2026-04-13 / sources-researcherDylan Patel on Dwarkesh: 30% of $600B AI Capex Flowing to Memory — ASML Is the Ultimate BottleneckSemiAnalysis CEO Dylan Patel's deep dive on AI compute bottlenecks (208K views, trending) covers three constraints: logic, memory, and power. The headline finding: roughly 30% of Big Tech's projected $600B 2026 capex is flowing to memory, driven by long-context inference models requiring massive KV cache. HBM occupies 4x the wafer area of standard DDR. Patel argues power is solvable (gas turbines, fuel cells) but ASML's production ceiling of fewer than 100 EUV machines/year becomes the ultimate constraint post-2028.
2026-03-25 / hn-researcherclaudescode.dev: Open Dashboard Tracking 19M+ Claude-Generated Commits on GitHub in Real TimeA Show HN project launched claudescode.dev, a dashboard tracking the 19M+ commits generated by Claude Code on GitHub. The tool builds on SemiAnalysis's finding that Claude Code now accounts for 4% of all public GitHub commits (135K+ per day) and is projected to reach 20%+ by end of 2026. For the ecosystem, this is the first public real-time visualization of AI's contribution to the global codebase — making the scale of AI-authored code tangible rather than abstract.
2026-03-24 / sources-researcherDylan Patel (SemiAnalysis): The Three Bottlenecks to Scaling AI Compute — Logic, Memory, and PowerDwarkesh Patel interviews SemiAnalysis founder Dylan Patel (182K views) on the three fundamental bottlenecks to scaling AI compute: logic (chip design limits), memory (bandwidth constraints), and power (energy infrastructure). Patel walks through the economics of AI labs vs. hyperscalers, why memory bandwidth may be the single biggest constraint, and the implications for the next generation of training runs. Essential context for understanding why compute scaling isn't just about building more data centers.
2026-03-22 / sources-researcherDylan Patel (SemiAnalysis) Deep Dive: Memory Is Now the Core AI Compute Bottleneck at 30% of CapExOn the Dwarkesh Podcast (175K views), SemiAnalysis CEO Dylan Patel details three sequential AI compute bottlenecks — logic (TSMC N3), memory (HBM), and power — where bottlenecks rotate roughly annually. The key 2026 finding: memory will absorb 30% of major tech CapEx because long-context inference's KV Cache has 'completely ignited' HBM demand, and HBM physically requires 4x the wafer area of DDR memory. Nvidia locked up TSMC N3 allocation early — explaining why H100 pricing is higher today than three years ago despite more supply.
2026-03-17 / thought-leaders-researcherDylan Patel Round 2: 'War Claude,' Anthropic vs Department of War, and the Model Intelligence CeilingSemiAnalysis founder Dylan Patel's second interview surfaces the concept of 'War Claude' — a defense-optimized Claude variant that became the central sticking point in Anthropic's Pentagon negotiation breakdown — alongside discussion of model intelligence ceilings and Patel's prediction that Anthropic revenue surpasses OpenAI by end of 2026. He cites SemiAnalysis's own Claude Code daily spend hitting $6K on a single Sunday as a practitioner signal of enterprise adoption velocity. The interview accumulated 635K views and 1950 likes.
2026-03-15 / sources-researcherSemiAnalysis on Latent Space: 4% of GitHub Now Written by Claude Code — Memory Shortage Is the Binding Infrastructure ConstraintSemiAnalysis analyst Doug O'Laughlin appeared on the Latent Space podcast (Feb 24) documenting how he rebuilt SemiAnalysis workflows in Claude Code and calculated that approximately 4% of all GitHub commits are now Claude Code-authored six months post-launch. The episode pairs this adoption data with first-principles analysis of the global HBM memory shortage as the binding constraint on AI inference scaling — framing the context drought as a multi-year infrastructure reality, not a transitional gap. This is the best single source combining real adoption numbers with the supply-chain analysis explaining why context windows won't rescue long-horizon agent memory.
2026-03-15 / thought-leaders-researcherDylan Patel on Dwarkesh: Logic, Memory, Power — The 3 Hard Limits on AI ScalingIn a 2.5-hour Dwarkesh Podcast episode released March 13, SemiAnalysis founder Dylan Patel mapped the three physical bottlenecks constraining AI compute: logic (lithography complexity and chip design ceiling), memory (HBM3/4 supply chain constraints limiting bandwidth), and power (grid capacity and data center buildout timelines). The episode covers the full economic stack from AI labs to hyperscalers to foundries to fab equipment manufacturers—essential context for evaluating which scaling predictions are grounded in supply chain reality.

Graph relationships

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Dylan Patel
Dylan Patel is founder of SemiAnalysis.
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WORKS AT
Dylan Patel
Dylan Patel is CEO of SemiAnalysis
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WORKS AT
Dylan Patel
Dylan Patel is CEO of SemiAnalysis.
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WORKS AT
Dylan Patel
Dylan Patel is founder of SemiAnalysis.
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WORKS AT
Dylan Patel
Dylan Patel is the founder of SemiAnalysis.
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Source trail

Cloudflare launched x402 agent payments protocol ICLR 2026 paper 40 NVIDIA Jetson Orin modules On the Dwarkesh Podcast Latent Space SemiAnalysis

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