#composable tools
178 related articles
How NVIDIA BioNeMo Breaks Through Co-F…
·2 min
How NVIDIA BioNeMo Breaks Through Co-Folding End-to-End Performance Bottlenecks
How NVIDIA BioNeMo Agent Toolkit uses agent-based orchestration to solve MSA preprocessing, pipeline scheduling, and end-to-end bottlenecks in OpenFold3 co-folding workloads for drug discovery.
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·4 min
From 50% to 92%: A Practical Methodology for Teaching AI Agents to Master Spreadsheets
An engineering team spent four months raising an AI coding agent's spreadsheet accuracy from 50% to 92%. Deep dive into REPL architecture, validation loops, and domain knowledge injection.
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·3 min
Getting Started with Agent Skills: Structure, Principles, and Practical Usage
A deep dive into Agent Skills: learn the file structure (SKILL.md, references, scripts, assets), core principles, and how they differ from prompts. Build your own AI skill bundle from scratch.
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·3 min
Spring AI 2.0 Deep Dive: A Java Developer's Guide to LLM Application Development
A deep dive into Spring AI 2.0: provider-agnostic APIs, RAG with vector databases, and how Java developers can build LLM apps using the Spring ecosystem.
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Relm: An Open-Source Tool for Integrat…
·3 min
Relm: An Open-Source Tool for Integrating Local LLMs as Native R Objects
Relm wraps local LLMs as native R objects, enabling local inference, data privacy, and interpretability analysis. A deep dive for R-based data scientists.
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·2 min
GPT-5.6 Three-Tier Model Breakdown: How Sol/Terra/Luna Rewrite the Agent Cost Structure
OpenAI releases GPT-5.6 with three tiers: flagship Sol, balanced Terra, and budget Luna. Sol leads competitors by 13 points on Agent benchmarks at one-quarter the cost, rewriting Agent economics.
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·3 min
Does Vim Still Matter in the AI Era? Three Strategies to Find Your Answer
As Cursor and GitHub Copilot redefine programming, where do Vim users go? This article analyzes the tension between AI tools and Vim, and three key strategies.
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·2 min
VersatIL: A Modular PyTorch Framework Tackling Code Fragmentation in Imitation Learning
VersatIL is a modular PyTorch framework for robot imitation learning that decouples data, network architecture, algorithm, and objective. Supports ACT, Diffusion Policy, pi0, and LeRobot format.
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·3 min
Biome's Missing ESLint Rule: A Community Voting Guide for padding-line-between-statements
Biome.js currently lacks the popular ESLint rule padding-line-between-statements. This article explains the rule's purpose and configuration, and explores how community voting can drive Biome's feature completeness and aid ESLint migration decisions.
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·2 min
A Complete Guide to Nuxt: Core Features and Best Practices of the Vue Full-Stack Framework
An in-depth look at Nuxt—the full-stack meta-framework built on Vue.js. Covers SSR, SSG, the Nitro server engine, file-system routing, and more.
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·6 min
GPT-5.6 Sol Hands-On: How Multi-Agent Parallelism Is Reshaping AI Coding Workflows
Based on Fireship's review, an in-depth look at GPT-5.6 Sol's Ultra Mode multi-agent parallelism, its 91.9% Terminal Bench score, and how it differs from Claude Fable in cost, speed, and precision.
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·6 min
Jacobian-Lens in Practice: Manually Reshaping LLM Behavior with J-Space
After Anthropic released Jacobian-Lens, a developer reversed it from an interpretability tool into a behavior editor, manually tuning J-Space to reshape LLM outputs. An in-depth look at the tech, representation engineering, and AI safety risks.
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·4 min
Superpowers: Enabling AI Agents to Truly Master Software Development Methodology
Superpowers is a trending GitHub project that builds an agentic skills framework with Shell scripts, injecting software engineering methodology into AI coding workflows. A deep dive into its architecture and value.
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·5 min
Getting Started with LangGraph: Building AI Agent Workflows with Graph Structures
Master LangGraph core concepts: nodes, edges, and routing functions. Learn StateGraph, MemorySaver, and ToolNode through a weather-query Hello World example, and understand how LangGraph relates to LangChain and powers Agent workflows.
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·6 min
The Eight-Step Method for Agent Development: A Practical Path from Pitfalls to Production
Many enterprises fail at AI Agents due to choosing the wrong tools and lacking methodology. This article outlines an eight-step Agent development method—from cognitive foundations, scenario selection, hand-writing ReAct, and structured output to Tool Use, RAG, evaluation sets, and production fallback.
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·2 min
Deep Dive into Claude Skills Open Source Project: A Practical Guide to Building an AI Skill Library for Engineers
Matt Pocock open-sources the mattpocock/skills project, publicly sharing his personal .claude directory config. An in-depth look at the Claude Skills mechanism, skill library methodology, and the shift from prompt engineering to skill engineering.
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·3 min
Google Open-Sources Stitch Skills: A New Practice in AI Agent Skill Standardization
Google Labs open-sourced stitch-skills, a standardized skill encapsulation solution for AI Agents, compatible with Gemini CLI, Claude Code, Cursor and more.
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·5 min
AI Agent Custom Tool Development Guide: Boost Efficiency by One-Click Reuse of Repetitive Tasks
An in-depth guide on developing Custom Tools for AI agents, compressing repetitive tasks like Excel-to-Markdown conversion from 30 minutes to under 5 seconds. Covers AGENTS.md registration, tool directory setup, and AI-assisted development.
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·4 min
Four Major LangChain Updates: OpenWiki, Voice Agents, and Sub-Agent Orchestration Explained
LangChain releases four major updates: OpenWiki for auto-generating codebase docs, voice agent tutorials, Harbor evaluation integration, and deepagents programmable sub-agents.
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·3 min
GitHub Daily · July 12: The Explosion of the Agent Skills Ecosystem and the Rust Rewrite Wave
July 12 GitHub trending: Agent Skills/MCP ecosystem explodes with superpowers hitting ~900 stars, pgrust rewrites Postgres in Rust passing 100% tests, plus solid engineering foundations.
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