byline-ethan-shaw

ai-agents-2-2

Agents • Cookbook

Hands-on examples for coding agents end to end with realistic tool and memory patterns.

• 

Ethan Shaw

9 Jun 2026 · 1 min read

ai-agents-2-2

Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents

Software engineering agents are increasingly deployed in evaluable engineering environments, yet post-failure recovery remains costly, manual, and ad hoc. Existing systems expose traces or generate follow-up feedback, bu...

• 

Ethan Shaw

9 May 2026 · 1 min read

ai-agents-2-2

Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases

Real-world software engineering tasks require coding agents that can operate on massive repositories, sustain long-horizon sessions, and reliably coordinate complex toolchains at test time. Existing research-grade coding...

• 

Ethan Shaw

11 Dec 2025 · 1 min read

ai-agents-2-2

SetupBench: Assessing Software Engineering Agents' Ability to Bootstrap Development Environments

Modern Large Language Model (LLM) agents promise end to end assistance with real-world software tasks, yet existing benchmarks evaluate LLM agents almost exclusively in pre-baked environments where every dependency is pr...

• 

Ethan Shaw

11 Jul 2025 · 1 min read

ai-agents-2-2

Ask-before-Plan: Proactive Language Agents for Real-World Planning

The evolution of large language models (LLMs) has enhanced the planning capabilities of language agents in diverse real-world scenarios. Despite these advancements, the potential of LLM-powered agents to comprehend ambig...

• 

Ethan Shaw

18 Jun 2024 · 1 min read