Use ShardStitch with Z.ai GLM.
This Z.ai GLM profile covers a paste-based web continuation and a portable memo file. It does not claim a native MCP route for the web client in this build.
Integration paths.
Generic continuation prompt or .handoff_memo.md.
No native MCP path listed in this build.
Paste-based; test execution and repository access remain local to your workflow.
Setup path.
Build the handoff from the local project, then paste it into a new Z.ai GLM chat or keep .handoff_memo.md with the project. Maintain local control of code and verification.
Generate the continuation packet and paste or attach it as supported by the target UI.
Ask GLM to identify the next step and the evidence it needs, then run that check against the local repository before applying advice.
Limits to know.
A web chat receives only what you provide; it cannot inspect a local path or confirm a test result from the memo alone. Share only relevant current code and output.
Best use case.
Using GLM as a next model with verified project context.
FAQ.
Can Z.ai GLM verify a local test from the packet?
No. It can reason about supplied output, but you must execute the test locally and provide the result. Mark unrun checks as pending.
Resume this workflow.
If the session ends during a code change, paste the current goal, diff summary, failed approaches, and one next command into a fresh chat. Run that command yourself and use its actual output to guide the next edit.
Paste the GLM checkpoint into the selected Z.ai surface and identify the exact files available there; do not imply that the web chat can inspect a local memo.
Primary source and delivery boundary.
Z.ai API quick start (checked September 27, 2026). Z.ai documents API keys, models and calling methods. Distinguish a configured coding-tool backend from the web-chat paste path; neither restores unsaved reasoning by itself.
Tool-specific troubleshooting
For symptom-specific diagnostics and recovery steps, use the focused guide: Troubleshoot Z.ai GLM.