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@Lyra0x_@xerj_org Every one of the 114 deliverables carries both name_en and name_ar in the catalog, and the MCP server returns both in tasleemat_list_artifacts results.
tasleemat_get_lexicon accepts a free-text query and matches it against English and Arabic term names
#tasleemat has been selected to be included in @xerj_org , an #open_source, #AI-native search engine: it gives coding #agents the exact passage of code or documentation they need instead of letting them guess from memory
https://t.co/Rr7JLw1UWv
https://t.co/ft9dNHwk3e
Learn Harness Engineering 🚀
Found this excellent open-source course by Walking Labs, covering 14 lectures and 8 hands-on projects on building more reliable AI coding agents.
What's inside:
→ Agent instructions (AGENTS.md / CLAUDE.md)
→ Context management and persistent memory
→ Multi-session continuity and state tracking
→ Task boundaries and scope control
→ Testing, verification, and observability
→ Automated agent loops and workflows
→ Multi-agent orchestration and graph engineering
The practical projects walk you through building a complete agent harness, comparing prompt-only execution with structured workflows.
Also includes ready-to-use templates, verification scripts, and a harness-creator skill.
Perfect for developers working with Claude Code, Codex, and other AI coding agents who want to understand the engineering behind reliable agent execution.
Completely free.
Here's the GitHub Repo: https://t.co/hd2KKJiAlo