Can Agents Go Beyond Reporting? They Now Rewrite Code and Submit Their Own PRs

The article explains how AI agents can run overnight tests, automatically detect faulty modules, modify production code, and open pull requests, creating a closed-loop evaluation system that shifts testing from post‑hoc error spotting to proactive code iteration, provided three key prerequisites are met.

AI agentsContinuous IntegrationLLM-as-Judge

0 likes · 7 min read

Can Agents Go Beyond Reporting? They Now Rewrite Code and Submit Their Own PRs

PaperAgent

Mar 29, 2026 · Artificial Intelligence

Why Model Power Isn’t Enough: Inside Anthropic’s Harness for Building Real AI Applications

The article analyzes Anthropic’s Harness framework, showing how combining a planner, a generator model, and an automated evaluator transforms powerful language models into reliable, end‑to‑end AI applications, highlighting the engineering challenges, iterative feedback loops, cost trade‑offs, and evolving design as models improve.

AI agentsAnthropicevaluation loop

0 likes · 9 min read

Why Model Power Isn’t Enough: Inside Anthropic’s Harness for Building Real AI Applications

o-ai.tech

Mar 18, 2026 · Artificial Intelligence

How Anthropic Builds Effective AI Agents: Practical Patterns and Principles

This guide distills Anthropic’s frontline experience into a concise framework for building high‑performing AI agents, covering the workflow‑vs‑agent distinction, five composable architecture patterns, core design principles, tool‑centric optimization, and pragmatic advice on using or bypassing agent frameworks.

AI agentsAnthropicLLM

0 likes · 9 min read

How Anthropic Builds Effective AI Agents: Practical Patterns and Principles