Thoughts, experiences, and technical insights from my journey in software development.
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MCP drops sessions entirely in the 2026-07-28 spec, switching to a stateless request/response model. No sticky sessions. No shared storage. But migration has a cost — here's what developers need to know.
Bun's AI rewrite was hailed as a triumph: 535K lines ported in 11 days for $165K. Six weeks later, 2,475 open PRs and costs nearing $800K tell a different story.
Formal verification used to cost 10x the coding effort. LLMs are collapsing that barrier — proving Zstandard correct in Lean, end to end, took just 20 minutes.
An ADB maintainer at Google proposes blocking local ADB loopback — a move that could wipe out Shizuku and dozens of open-source developer tools.
Anthropic launches Claude Opus 5: #1 SWE-bench 97%, near-Fable 5 quality at half the cost. Same $5/$25 pricing, double Frontier-Bench vs Opus 4.8.
Etched just raised $300M at a $10.3B valuation — doubling in 7 months. Its Sohu ASIC for transformer inference is a direct challenge to Nvidia.
A Rust tokenizer hits 24.53 GB/s — ~1000x faster than HuggingFace, ~700x faster than tiktoken. Drop-in replacement. It changes how you handle LLM data pipelines.
Google released Gemini 3.6 Flash — 17% fewer output tokens, lower price, higher benchmarks. Flash-Lite hits 350 tok/s at $0.3/1M input, built for scaling agentic workflows.
US AI market share on OpenRouter collapsed from 70% to 30% in a year. Chinese open-weight models dominate token volume — and developers are the first to benefit.
In just 3 days, Alibaba and Moonshot AI unveiled Qwen 3.8 (2.4T params) and Kimi K3 (2.8T params) — both going open-weight. Here's what it means for developers and the global AI race.
PrismML's Bonsai 27B compresses a full 27B-parameter model to 3.9GB, running on an iPhone 17 Pro at 11 tokens/s. The ternary variant retains 95% of full-precision benchmarks across 15 evaluation suites.
Ollama just closed a $65M Series B, reaching 8.9 million monthly developers with only 14 employees. Here's what this says about the local AI trend.