Claude Code pricing: same tokens, same model, up to 40x the price
Claude Code buyer’s guide, August 2026: what Max, Team, and Enterprise cost, how to get the best deal, and how Uber and Shopify cap the spend.
Insights on agentic coding tools, LLM evaluation, benchmarking, and simulation environments.
Stay tuned for future posts and releases
Subscribe via RSSClaude Code buyer’s guide, August 2026: what Max, Team, and Enterprise cost, how to get the best deal, and how Uber and Shopify cap the spend.

Four Claude models wired together in Claude Code: model refusals on delegated security tasks, seventh place, twice the cost of the top single-model run.
Quantization is a lossy compression, and factual knowledge is incompressible. We test Qwen3.6 27B GGUF quantizations from Hugging Face (by Unsloth and Bartowski) and llama.cpp on the Incompressible Knowledge Probes (IKP) benchmark.
We evaluate July 2026 fresh releases Kimi K3, Claude Opus 5, Grok 4.5, Gemini 3.6 Flash, and DeepSeek V4 Flash 0731 on Baba Is Bench, an LLM agent benchmark based on the puzzle game Baba Is You, comparing pass rate, speed, and cost with Claude Fable 5 and GPT-5.6.
A warning hidden in the DeepSeek-V4 paper says retrying interrupted LLM requests is mathematically incorrect — it introduces length bias. I reproduced it on 100,000 poems.
We tested Qwen3.6 27B quantizations by Unsloth on Hugging Face, with pelicans on bikes, gears, Terminal-Bench 2.1, and AIME-120.
HN How I burned a full Claude limit in 30 minutes and built my own deep research pipeline instead: 3 subscriptions, shared memory, a clear role for each model. You can build the same from what you already pay for.
We ported the puzzle game Baba Is You to the Harbor framework, and benchmarked current models, including Claude, GPT, Gemini, GLM, and DeepSeek. A human Twitch streamer is 4x faster than Claude Fable 5.
Featured Tokenflation: simple tasks consuming ever more context, reasoning, and tool calls without more useful output. We benchmarked 14 models; one answered “Hi” with 33 tool calls and an unsolicited commit.
HN Qwen3.6 27B is finally a smart model we can use for coding on MacBook or NVIDIA RTX - with llama.cpp and OpenCode.

An independent audit of agentic scaffolding and harnesses. We analyze how agent workflows, codebase documentation, and test verification impact performance compared to raw base models like GPT-5.4, Gemini 3.1 Pro, and Claude Code.

Decompiling the classic laser puzzle game Chromatron from Windows XP and PowerPC executables into Rust. A pixel-perfect port using Claude Code, Opus 4.6, Cursor, GPT-5.2-Codex, and Ghidra.
BinaryAudit benchmarks AI agents using Ghidra to find backdoors in compiled binaries of real open-source servers, proxies, and network infrastructure.
Connecting Claude to Ghidra via MCP to reverse engineer River Raid. A test of AI agents against 6502 assembly, memory mapping, and 80s game logic.
A lot of vendors pitch AI SRE. We tested 14 models across 11 programming languages; even the best ones struggle with instrumenting code with the leading open-source standard, OpenTelemetry.