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

On the day of the release, the Chinese AI company Moonshot AI essentially announced Kimi K3.1 Pro twice. One was K3.1 Pro, ...

What an AI engineer needs is not to master cutting-edge theory, but to be able to build functional products using existing ...

Run claude mcp list afterward to confirm the server registered, then open a Claude Code session in the same project and ask ...

This tutorial step shows you how to use function tools that require human approval with an agent, where the agent is built on the Azure OpenAI Chat Completion service. When agents require any user ...

Argon2, bcrypt, and scrypt compared on OWASP 2026 parameters, real benchmarks, memory cost, and migration steps for password ...

Learn how to generate PDFs from Cloudflare Workers using Tectonic and Cloud Run, with practical lessons on Docker, security, ...

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

I've always wanted to create my own app but never had the skills to do so. AI has changed that, so I tried my hand at app ...

A decade-long effort at ETH Zurich and TU Darmstadt has distilled empirical performance modeling into a Python tool that ...

In sequential orchestration, agents are organized in a pipeline. Each agent processes the task in turn, passing its output to the next agent in the sequence. This is ideal for workflows where each ...

Debugging is the process of finding and fixing errors or bugs in software source code. When software does not work as expected, computer programmers study the source code to determine why any errors ...