HomenShum

61 mods across 1 repository, 14 stars between them.

ta-studio

49

HomenShum/NodeBenchAI

MCP server Claude CodeCodexCursor +2

TA Studio MCP server for Claude Code — AI-powered QA automation. Runs locally from the ta-studio-mcp npm package. Needs 2 environment variables to run.

14 18d ago A tokens not measured original MIT

HomenShum/NodeBenchAI

Instructions file CodexOpenCode

AGENTS.md instructions for HomenShum/NodeBenchAI, covering nodebench agent workflow, agent coordination (codex ↔ claude) — read first, prod-parity and ui kit workflow, social post quality, dedup, and cleanup and scope and goals.

14 18d ago C 30,200 tokens original MIT

HomenShum/NodeBenchAI

Instructions file

Claude Code instructions for HomenShum/NodeBenchAI, covering nodebench ai — claude code project instructions, deploy & merge workflow (p0 — read before merging anything), start here: prod-parity source of truth, legacy project overview and key files.

14 18d ago A 4,629 tokens original MIT

HomenShum/NodeBenchAI

Agent

Before: The Morning Dossier page rendered raw RSS-style log lines ("Trending on Hacker News with 35 points and 6 comments") instead of editorial prose synthesis. Backend failures ("Pending — run this follow-up") leaked into the UI. No structured brief generation existed.

14 18d ago A 0 tokens original MIT

HomenShum/NodeBenchAI

Agent

Make every in-app agent run capable of producing a final operator-facing verdict with open-source citations, trace-backed evidence, and explicit next actions, all surfaced through the existing UI.

14 18d ago A 0 tokens original MIT

HomenShum/NodeBenchAI

Agent

A unified NodeBench subsystem enabling agents to self-heal from both semantic errors (rollback + lessons) and infrastructure failures (capability-aware model failover + budget gates), so long-running research jobs keep making progress when the user steps away.

14 18d ago A 0 tokens original MIT

HomenShum/NodeBenchAI

Agent

Implemented comprehensive streaming UI optimization patterns to ensure smooth, animated streaming with per-step updates at 30-60fps without layout thrashing.

14 18d ago A 0 tokens original MIT

QUICK_START

60

HomenShum/NodeBenchAI

Agent

A complete streaming UI optimization system for FastAgentPanel that ensures smooth 30-60fps rendering with per-step updates and no layout thrashing.

14 18d ago A 0 tokens original MIT

HomenShum/NodeBenchAI

Agent

This document describes the streaming UI optimization patterns implemented in FastAgentPanel to ensure smooth, animated streaming with per-step updates at 30-60fps without layout thrashing.

14 18d ago A 0 tokens original MIT