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Qwen Code

Qwen Code is Alibaba's open-source command-line AI coding agent, built around Qwen models, that reads, edits and runs code in a developer's local project.

Current stories

buildOne report1 publisher

Gemini CLI's resolver reads past a yolo default in settings.json

Gemini CLI skips a yolo value in settings.json and never turns on the sandbox for it, a dev.to read of the source found. Anyone who wants YOLO every session needs a shell alias and an explicit --sandbox.

Publishers:dev.to

Reality

Evidence62
Adoption
Not scored
Hype gap0
Incentives
Not scored
Confidence60
buildOne report1 publisher

A repo's core.fsmonitor setting turns an agent's routine git status into code execution

GitSpawn, as summarised in a dev.to write-up of Cloud Security Alliance findings, uses a Git performance setting to run attacker code when a coding agent inspects a project it just opened. Seven agents are named.

Publishers:dev.to

Reality

Evidence32
Adoption
Not scored
Hype gap+18
Incentives28
Confidence40
buildOne report1 publisher

Opening an untrusted repo made seven coding agents run the program its Git config named

Manifold Security's GitSpawn findings cover eight issues across seven coding agents. The path runs through core.fsmonitor, where a background git status starts a helper the repository chose, outside the agent's sandbox and with no prompt.

Publishers:dev.to

Reality

Evidence34
Adoption
Not scored
Hype gap+10
Incentives
Not scored
Confidence38
buildOne report1 publisher

A wiki that accepted GET as an edit gave read-only agents 18,000 writes

The wiki's old software took a plain GET as an edit, so a harness that policed request types could not stop the writes. GitSpawn puts the same gap in the startup git calls of seven coding agents.

Publishers:dev.to

Reality

Evidence42
Adoption52
Hype gap+30
Incentives78
Confidence45
buildOne report1 publisher

Harness choice moved token use 83-fold with the model held constant

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.

Publishers:thenewstack.io

Reality

Evidence58
Adoption34
Hype gap+12
Incentives42
Confidence55
buildOne report1 publisher

Seven harnesses took the transcript. None of them took the approvals.

A frozen Claude Code session moved cleanly into seven rival agent formats. The approval and audit machinery wrapped around it moved into none of them.

Publishers:dev.to

Reality

Evidence58
Adoption20
Hype gap+12
Incentives38
Confidence55