What AI engineers are building

Developers are building and sharing AI-powered tools for automation, evaluation, and inference, with a focus on agents, LLMs, and RAGs.

3 deep dives · 2 builder stories · 10 quick hits · 348 items scanned

LLMAI AgentsRAGInferenceAutomation

Deep dives

GitHub

LLMTradingResearch

EthanXiang777/circuit-framework

Ethan Xiang built Circuit Framework, a multi-agent LLM trading research system. The system allows for the creation and testing of trading strategies using LLMs. The framework is designed to be flexible and adaptable to different market conditions.

Why it matters

Circuit Framework is significant because it demonstrates the potential of LLMs in trading research. The system's ability to adapt to different market conditions makes it a valuable tool for traders and researchers.

Try thisExplore the Circuit Framework repository and experiment with creating your own trading strategies using LLMs.

View on GitHub↗

GitHub

AICodingTerminal

KlaatAI/klaatcode

The KlaatAI team built KlaatCode, an open-source AI coding agent for the terminal. KlaatCode uses smart model routing to cut costs and supports multiple AI models, including Claude, GPT, and Gemini.

Why it matters

KlaatCode is important because it provides a cost-effective and flexible solution for coding tasks. The use of smart model routing makes it an attractive option for developers and researchers.

Try thisInstall KlaatCode and experiment with using it for coding tasks, exploring the different AI models and routing options.

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GitHub

AIAgentsModel-Agnostic

PromptPartner/agentsmith

The PromptPartner team built AgentSmith, a universal, model-agnostic operating harness for AI agents. AgentSmith provides a lean core and work-type profiles assembled by a single setup script.

Why it matters

AgentSmith is significant because it provides a flexible and adaptable solution for working with AI agents. The model-agnostic design makes it a valuable tool for researchers and developers.

Try thisExplore the AgentSmith repository and experiment with using it to manage and deploy AI agents.

View on GitHub↗

What people actually built

Hacker News

Show HN: A Pipeline for Making 10-minute AI Movies with Claude Code and Seedance

A pipeline for making 10-minute AI movies using Claude Code and Seedance. The pipeline glues together Seedance, Nano Banana, and ElevenLabs to create a movie.

How it works

The pipeline uses Claude as the director and combines the outputs of Seedance, Nano Banana, and ElevenLabs to create a movie.

Steal thisThe use of a pipeline to combine multiple AI tools can lead to the creation of complex and interesting outputs, such as movies.

View on GitHub↗

Hacker News

Show HN: The0 – self-hosted runtime for trading bots, bring your own language

A self-hosted runtime for trading bots that allows users to bring their own programming language. The runtime provides a flexible and adaptable solution for trading bot development.

How it works

The runtime uses a modular design to allow users to plug in their own programming language and trading strategy.

Steal thisThe use of a self-hosted runtime can provide a high degree of flexibility and customizability for trading bot development.

View on GitHub↗

Quick hits

thinkingmachines/Inkling ↗

Hugging Face

prism-ml/Ternary-Bonsai-27B-gguf ↗

Hugging Face

LoRA Speedrun – a public wall-clock leaderboard for fine-tuning techniques ↗

Hacker News

A public leaderboard for comparing fine-tuning techniques for LLMs.