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Add 'Last Updated: April 9, 2026' to all markdown files missing dates

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Kaloyan Nikolov
2026-04-09 17:27:57 +02:00
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AGENTS.md
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# AGENTS.md # AGENTS.md
**Last Updated:** April 9, 2026
## Research Project: Coding Agent Harness Analysis ## Research Project: Coding Agent Harness Analysis
### Objective ### Objective
README.md
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# Coding Harness Feedback Analysis # Coding Harness Feedback Analysis
**Last Updated:** April 9, 2026
Research analyzing four coding agent harnesses (opencode, pi, hermes, forgecode) to understand what works best for local/smaller models (7B-27B parameters). Research analyzing four coding agent harnesses (opencode, pi, hermes, forgecode) to understand what works best for local/smaller models (7B-27B parameters).
## What Was Done ## What Was Done
forgecode/AGENTS.md
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# AGENTS.md # AGENTS.md
**Last Updated:** April 9, 2026
## Research/Analysis Folder for forgecode ## Research/Analysis Folder for forgecode
This is the research and analysis folder for the **forgecode** coding harness. This is the research and analysis folder for the **forgecode** coding harness.
forgecode/README.md
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# ForgeCode Research & Analysis Folder # ForgeCode Research & Analysis Folder
**Last Updated:** April 9, 2026
This folder contains comprehensive research and analysis of the **ForgeCode** coding harness from antinomyhq. This folder contains comprehensive research and analysis of the **ForgeCode** coding harness from antinomyhq.
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hermes/AGENTS.md
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# AGENTS.md # AGENTS.md
**Last Updated:** April 9, 2026
## Research/Analysis Folder for hermes ## Research/Analysis Folder for hermes
This is the research and analysis folder for the **hermes** coding harness. This is the research and analysis folder for the **hermes** coding harness.
opencode/AGENTS.md
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# AGENTS.md # AGENTS.md
**Last Updated:** April 9, 2026
## Research/Analysis Folder for opencode ## Research/Analysis Folder for opencode
This is the research and analysis folder for the **opencode** coding harness. This is the research and analysis folder for the **opencode** coding harness.
opencode/opencode/feedback/SUMMARY.md
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# OpenCode Feedback Summary # OpenCode Feedback Summary
**Last Updated:** April 9, 2026
## Executive Overview ## Executive Overview
This document provides a comprehensive summary of community feedback, benchmark results, and performance observations for **OpenCode** AI coding agent. Data sourced from Reddit, GitHub issues, benchmark dashboards, community blogs, and technical documentation. This document provides a comprehensive summary of community feedback, benchmark results, and performance observations for **OpenCode** AI coding agent. Data sourced from Reddit, GitHub issues, benchmark dashboards, community blogs, and technical documentation.
opencode/opencode/feedback/localllm/local-llm-feedback.md
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# Local LLM Feedback for OpenCode # Local LLM Feedback for OpenCode
**Last Updated:** April 9, 2026
## Overview ## Overview
This document compiles community feedback, benchmark results, and performance observations for **local LLM models** used with OpenCode. Data sourced from Reddit, GitHub issues, benchmark dashboards, and community blogs. This document compiles community feedback, benchmark results, and performance observations for **local LLM models** used with OpenCode. Data sourced from Reddit, GitHub issues, benchmark dashboards, and community blogs.
pi/AGENTS.md
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# AGENTS.md # AGENTS.md
**Last Updated:** April 9, 2026
## Research/Analysis Folder for pi (pi-mono) ## Research/Analysis Folder for pi (pi-mono)
This is the research and analysis folder for the **pi** coding harness. This is the research and analysis folder for the **pi** coding harness.
pi/feedback/pi-mono-comprehensive-feedback.md
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# pi-mono Comprehensive Feedback Summary # pi-mono Comprehensive Feedback Summary
**Last Updated:** April 9, 2026
## Executive Summary ## Executive Summary
This document consolidates all community feedback and benchmark data for the pi-mono coding agent across local and frontier models. The data was collected from GitHub issues, Reddit discussions, benchmark leaderboards, and community blog posts. This document consolidates all community feedback and benchmark data for the pi-mono coding agent across local and frontier models. The data was collected from GitHub issues, Reddit discussions, benchmark leaderboards, and community blog posts.