Webwright: Why AI Web Agents Should Write Code, Not Click⭐9

Web AI agents fail at multi-step tasks. New approach: write code instead of clicking, for durable, reusable automation.

Effective Project Management in the Age of AI⭐10

Discover how LLMs reshape project management, shifting engineers from coding to prompt orchestration, testing, and strategic oversight.

Backtrader-Bench: Benchmarking LLM Agents on Algorithmic Trading with Self-Generated MCQs⭐9

Benchmarking LLM agents in algorithmic trading with Backtrader-Bench: tool-augmented models hit 90% accuracy, outpacing no-tool baselines by 17 points.

Using Agents as Tools: The Agent-as-a-Tool Pattern with OpenAI⭐10

Learn how to use the agent-as-a-tool pattern with OpenAI Agents SDK, enabling a manager agent to delegate tasks to specialist agents for complex workflows.

Beyond Memory: A Templated Substrate for Heterogeneous⭐7

A template enables LLM agents and humans to share a persistent wiki, preserving failures and insights across sessions for collaborative knowledge work.

LLM Agents Refactor Software for High-Level Synthesis: A⭐9

LLM agents from CMU and UCLA automate software refactoring for high-level synthesis, reducing manual HLS effort by 70%.

Contrastive Reflection for Iterative Prompt Optimization⭐9

Contrastive Reflection improves agentic IR prompts by comparing failed vs. successful traces, boosting HotpotQA accuracy from 51.4% to 60.4%.

Recursive Self-Evolving Agents via Held-Out Selection⭐8

RSEA enables LLM agents to self-improve via recursive context evolution without weight updates, using held-out selection to prevent regression and ensure safe t...