Project
Open-source command-line AI pair-programming tool that edits local codebases via git, working with various LLM backends.
The same model scored twice under two scaffolds. A dev.to post uses that gap to argue the dividing line in AI coding is whether the model can run your repo's own commands and read the failure.
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The trailer Cursor actually writes keys on an address, so a search on the display name pulls in every co-author who shares it. Switching to addresses moved one developer's Claude count by seven commits.
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Coding-agent failures cluster in the plumbing between knowing what to change and changing it. One harness builder measured what that costs and published the failure rates for Grok 4 and GLM-4.7.
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klypix-mcp keeps a team's changing decisions in a brain.klypix file inside the repo, where a correction supersedes a stale card and keeps its history. How much it helps depends on whether the host actually calls the tools.
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Sergi Corruchaga reports his D-Engine harness produced the same diff as DeepSeek's official agent on 42 times fewer tokens, by letting the model propose SEARCH/REPLACE blocks and a local runtime apply them.
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The New Stack's case for moving architecture rules out of the wiki and into pytest holds up on mechanism. The two sample rules also show the bill: enforcement runs on module-name globs, and the domain-purity check bans two libraries where its own docstring promises an allowlist.
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A CDN rule aimed at AI crawlers matched the Vendor/Language User-Agent shape that the official OpenAI and Anthropic SDKs send by default. The harness meant to catch it sent an allowlisted string of its own and reported green.
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The spread traces to two numbers you can read off your own logs: the tokens a harness spends before any work starts, and how many turns it takes. Together they predicted total token use with an R-squared of 0.99.
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Token traffic, survey reach and production-model ledgers rank different vendors because they count different things. The autonomy figures say the hard part is still unbought.
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JetBrains has taken the assembly work out of running a coding agent offline. What it could not take out is the hardware, and that is now the thing deciding who adopts.
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Hermes Agent treats the runtime as the durable asset and the model as a swappable input. The lock-in moves into your own repo, and the administrator's job moves with it.
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A dev.to writeup makes a point worth stealing: the secret leaves your machine in a prompt, not a commit. The proposed fix is a local proxy that masks values before egress.
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