Z.ai open-sourced ZCode at github.com/zai-org/ZCode in response to community-reported security issues, releasing the desktop app, web workspace, backend, Agent CLI, and runtime. The company apologized, disabled the Repo Wiki feature and local repository snapshot uploads, and published third-party security assessments from CAICT and NSFOCUS. It also committed to an ongoing vulnerability reporting process with severity-based rewards.
A developer ported the pstack plugin, originally built by Lauren Tan at SpaceXAI for Cursor, to work with ZCode. The adaptation involved rewriting skills to fit ZCode's plugin model, using GLM 5.3 to assist the process.
A developer ported the pstack plugin, originally built by Lauren Tan at SpaceXAI for Cursor, to work with ZCode. The adaptation involved rewriting skills to fit ZCode's plugin model, using GLM 5.3 to assist the process.
A Reddit user reports GLM-5.3-Flash marks a clear step change in agentic capability but questions whether it is reliable enough to trust at scale, citing failures in the long tail of agent work. They suggest orchestrating locally served agents with stronger cloud agents as an interim approach. They also observe fewer issues in GLM's own harness ("ZCode") than in Droid, speculating the harness policies are tuned to the model.
A Reddit user reports GLM-5.3-Flash marks a clear step change in agentic capability but questions whether it is reliable enough to trust at scale, citing failures in the long tail of agent work. They suggest orchestrating locally served agents with stronger cloud agents as an interim approach. They also observe fewer issues in GLM's own harness ("ZCode") than in Droid, speculating the harness policies are tuned to the model.
Z.ai released GLM-5.3, a new model positioned as a frontier coding model with emergent cyber capabilities. The release is notable for its claimed performance in coding benchmarks and its potential security implications.
Z.ai released GLM-5.3, a new model positioned as a frontier coding model with emergent cyber capabilities. The release is notable for its claimed performance in coding benchmarks and its potential security implications.
Z.ai announced GLM-5.3, an open-weight model built on the same mixture-of-experts base as GLM-5.2, with all gains from extended post-training. It scores 84.5% on CyberGym, edging Claude Mythos 5 and GPT-5.6 Sol, and shows large jumps on Terminal-Bench 3.0 and DeepSWE v1.1. The company is holding back weights for a cyber safety review.
Z.ai announced GLM-5.3, an open-weight model built on the same mixture-of-experts base as GLM-5.2, with all gains from extended post-training. It scores 84.5% on CyberGym, edging Claude Mythos 5 and GPT-5.6 Sol, and shows large jumps on Terminal-Bench 3.0 and DeepSWE v1.1. The company is holding back weights for a cyber safety review.
Z.ai released GLM 5.3 Flash (Ox Alpha), a new model variant positioned as offering frontier-level intelligence at a lower cost. The release is detailed in their blog post, which includes benchmark comparisons.
Z.ai released GLM 5.3 Flash (Ox Alpha), a new model variant positioned as offering frontier-level intelligence at a lower cost. The release is detailed in their blog post, which includes benchmark comparisons.