Operations Research for Birdsong: An Introduction to Optimizing 'Measure, Select, and Cycle' in Acoustic Monitoring with Rust

Operations Research for BirdsongAn Introduction to Optimizing 'Measure, Select, and Cycle' in Acoustic Monitoring with ...

A CLI Audit Tool to Automatically Detect and Compress 'Dirty DB Schemas' That Burn Tokens and API Costs in AI Coding [Implemented Using Only Standard Python Feat…

As autonomous coding agents like Cursor and Claude Code are fed DB schemas, token consumption is exploding, leading to the ...

Researchers made AI agents better by turning academic papers into working code — no retraining required

ScholarEvolve uses published research to improve AI agents, raising Qwen's AppWorld task completion from 69% to 81.4% without retraining the model.
HackerNoon

Tailoring a Multi-agent LLM System for a Mid-sized Business

Treat the LLM as a brain, not a source of facts. A practical guide to multi-agent LLM systems: prompts, orchestration, RAG, ...
xenospectrum

ScholarEvolve Lets AI Agents Rewrite Their Own Code From Research Papers, Lifting Task Completion 12.4 Points

UCSB and Microsoft's ScholarEvolve generates code from academic papers to improve an agent's harness without retraining model ...