Latest Picks

Handpicked repositories selected for utility and relevance.

get-shit-done interface preview

Context Rot Is Killing Your Claude Sessions. Here's The Fix

Claude's context window fills with garbage during extended coding sessions, causing response quality to plummet. GSD attacks this 'context rot' problem with meta-prompting, context engineering, and spec-driven development—letting developers work with Claude for hours without degradation. 13.7k stars in three months suggests they've hit a nerve.

gsd-buildGS

get-shit-done

gsd-build

index-tts interface preview

IndexTTS: Controllable Duration for Production TTS

An analysis of IndexTTS's approach to controllable duration in text-to-speech systems, examining how it addresses production requirements for video dubbing and time-constrained audio generation. We compare its architecture against FishSpeech, XTTS_v2, F5TTS, and CosyVoice, exploring the trade-offs between duration control, voice similarity, and generation speed.

index-ttsIN

index-tts

index-tts

nanobot interface preview

How HKUDS Built an AI Agent Framework in 4,000 Lines

University researchers built nanobot from scratch as a focused, Python-native alternative to comprehensive frameworks like OpenClaw. The 99% code reduction demonstrates how starting fresh can serve researchers and developers who need accessibility over feature completeness.

HKUDSHK

nanobot

HKUDS

qwen-code interface preview

Qwen-Code: AI Coding Assistant Built for the Terminal

While commercial AI coding tools focus on editor integrations, qwen-code built an open-source alternative optimized for terminal workflows. This piece examines the design decisions behind its CLI-first approach and addresses reported concerns around destructive modifications and benchmark accuracy.

QwenLMQW

qwen-code

QwenLM

TradingAgents-CN interface preview

TradingAgents-CN: A股 Market Infrastructure Gap

Western multi-agent trading frameworks like LangGraph and AutoGen weren't built for Chinese equity markets. TradingAgents-CN addresses the fundamental infrastructure gap: native A股/港股 support, domestic LLM integration, and real-time Chinese financial media analysis. The framework has growing pains, but it solves a localization problem that goes far deeper than translation.

hsliupingHS

TradingAgents-CN

hsliuping

picoclaw interface preview

PicoClaw: AI Agents That Run on $10 Hardware in 10MB RAM

OpenClaw proved AI agents could automate complex workflows. PicoClaw asked a different question: what if those agents ran on edge hardware with minimal resources? The answer opens new deployment scenarios—from isolated security contexts to $10 devices—through aggressive optimization.

sipeedSI

picoclaw

sipeed