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agents.md

Trial

Techniques

A plain-text interface specification that tells agents how to call a Space programmatically.

Why it's here

Placed in Trial: 11 article(s) of evidence from 6 source(s), led by framework updates, with 2 in the last 30 days. Confidence 92%.

Evidence (11)

  • 4Hacker News·9/18/2026framework_update
    Claude Code Adds AGENTS.md Support

    Claude Code version 2.1.277 will now look for and use AGENTS.md in a folder when CLAUDE.md is not present. The feature is based on Claude Code mods, which Anthropic says will also support custom project instructions in the future.

  • 6Hacker News·9/17/2026open_source
    Bend language promises proof-checked AI code on CPU and GPU

    Bend is a new programming language and runtime that emphasizes fast compilation, parallel execution on CPUs and GPUs, and proof-based checks to prevent rule-breaking changes. The post highlights AGENTS.md guidance, a law/proof workflow, and claims that AI-generated code can be constrained to satisfy declared invariants before commit.

  • 5The New Stack·8/25/2026framework_update
    Shopify CEO criticizes Claude Code over repo instruction support

    Shopify CEO Tobi Lütke said he is considering banning Claude Code internally because it does not natively read AGENTS.md, creating inconsistencies with other AI coding tools in Shopify's monorepo. The issue highlights the operational cost of maintaining agent instructions across large codebases when different tools rely on different file conventions.

  • 4Hacker News·8/23/2026open_source
    Using agent.md to steer LLM coding style

    Fabien Sanglard describes how LLM-assisted coding improved over time, but still produced code that needed heavy cleanup to meet production standards. He proposes an agent.md file to inject concise style and architecture preferences into agentic coding sessions, reducing repeated manual feedback.

  • 4Hacker News·8/19/2026framework_update
    Claude Code issue requests AGENTS.md support

    A GitHub issue for Anthropic's Claude Code asks for native support of AGENTS.md, a proposed standard file for capturing agent instructions in repositories. The Hacker News discussion reflects developer interest in making AI coding tools read and follow project-specific guidance more consistently.

  • 5The New Stack·8/19/2026research
    Coding agents are getting formal onboarding files

    The article argues that companies are increasingly creating dedicated onboarding files for coding agents, such as AGENTS.md, CLAUDE.md, and GEMINI.md, to improve build and task success. It contrasts this rapid optimization for agents with the often neglected documentation and onboarding experience provided to human developers, while noting broader lessons about batching, context switching, and software delivery.

  • 6GitHub Blog·8/12/2026framework_update
    AutoGPT adds agent-friendly repo gates for AI contributors

    AutoGPT describes how it adapted its repository workflow for pull requests generated by AI agents, including Claude, Copilot, Codex, and internal tools. The project moved instructions into repo-local files and skills, and used template, test-plan, and coverage gates to steer agent submissions toward working changes.

  • 3Hacker News·8/10/2026research
    Argument for Keeping LLM Outputs Machine-Facing Until the Boundary

    The post argues that prompting LLM agents to sound more human, concise, or simplified can cause lossy compression and hide useful failure signals. It recommends preserving detailed, structured state between agents and only converting it into human-friendly prose at the final output boundary.

  • 6Hacker News·7/20/2026security
    OpenCode criticized for security and performance issues

    A Hacker News post argues that OpenCode, an open-source AI coding agent, has serious usability and security flaws. The author highlights repeated prompt-cache misses, unnecessary context re-evaluation, and design choices that can make the tool slow and potentially risky when connected to a shell.

  • 6Hugging Face Blog·6/9/2026open_source
    Agent Chains Two Hugging Face Spaces to Build a 3D Paris Gallery

    A Hugging Face community post shows a coding agent building a 3D gallery of Paris monuments by chaining two Gradio Spaces: one for image generation and one for 3D Gaussian splat reconstruction. The agent also handled viewer integration, asset conversion, and deployment into a static Space without manual use of image or 3D tools.

  • 4Martin Fowler·4/14/2026research
    Fowler on AI, abstraction, and programmer laziness

    Martin Fowler reflects on a Pragmatic Summit discussion with Kent Beck and Gergely Orosz about AI, earlier technology shifts, agile methods, TDD, and performance metrics. He argues that human constraints and “lazy” abstraction still matter, and that LLMs can encourage overcomplicated systems unless developers apply judgment such as YAGNI and TDD-style checks.