Halv is open source
The desktop app and its local savings engine now use the Apache 2.0 license. Halv Cloud, the part that runs on our servers, is the only paid part. Here is why.
Read postHALV BLOG
News about Halv and notes from the team building it.
The desktop app and its local savings engine now use the Apache 2.0 license. Halv Cloud, the part that runs on our servers, is the only paid part. Here is why.
Read postCompare Claude Code and Codex for terminal work, cloud tasks, permissions, and usage limits. Choose with a practical test on your own repository.
Read postReduce avoidable ChatGPT usage with focused chats, relevant files, controlled tools, shorter outputs, and the right workspace for coding.
Read postReduce Claude and Claude Code usage with smaller context, focused Projects, clear model choices, controlled tools, and complete measurement.
Read postReduce Codex plan usage with tighter context, scoped tools, suitable models, measured workflows, and task-aware routing.
Read postHalv and vanilla Codex each passed 25 of 42 benchmark runs. Halv recorded $144.67 in model cost versus $337.50. Here is the result in plain language.
Read postAcross 14 tasks and three repetitions each, Halv and vanilla Codex both passed 25 of 42 runs. Halv recorded $144.67 in model cost versus $337.50.
Read postAudit AGENTS.md without losing project rules. Learn how Codex loads instructions, why bytes differ from tokens, and how to verify a shorter file.
Read postChoose between Codex /compact and /new. Learn what each keeps, when a reset creates repeated work, and how to compare total task usage.
Read postUnderstand MCP token usage in Codex and Claude Code. Separate tool definitions, discovery, and results, then measure the cost of useful work.
Read postFind what drives Codex token usage: context, repeated reads, reasoning, tools, and subagents. Use a practical checklist before changing your plan.
Read postOn 20 paired SWE-rebench tasks, Halv used fewer tokens, cost less, and solved more tasks than vanilla Codex under the same model and verifier.
Read postReduce avoidable ChatGPT and Codex usage with smaller context, scoped instructions, suitable models, lower effort, and measured results.
Read postReduce avoidable Claude Code usage with smaller context, focused instructions, suitable models, lower effort, and complete workflow measurement.
Read postLearn how Codex tokens, credits, usage limits, ChatGPT subscriptions, and API billing differ.
Read postLearn how Claude session limits, weekly limits, context length, usage credits, API costs, and subscriptions differ.
Read postThe follow-up benchmark: Crux in real multi-question coding sessions on django and sympy. 90% correct answers versus grep's 58% — at 47% less cost per correct answer.
Read postMethodology and full data for the session-shaped Crux benchmark, the 2.3x token blowup it exposed on sympy, and the Crux 0.6.2 output redesign that turned it into a 59% saving.
Read postWe benchmarked an AI coding agent with and without Crux, our code-index MCP server, in Codex on django and sympy: 45% more correct answers, 24% less cost per answer.
Read postMethodology and full data for the Crux benchmark: an SCIP code-index MCP server vs grep in Codex CLI, with token-metered paired runs, ablations, and the tuning trail.
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