Tagged "coding-agents"
14 articles tagged coding-agents, 31 March 2026 to 9 October 2026. Newest first.
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JetBrains Releases Mellum 2.1: 12B MoE Model Optimised for Coding Agents
JetBrains released Mellum 2.1, a 12 billion parameter Mixture-of-Experts model designed specifically for coding tasks and agentic workflows, available as an open-source model.
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Meta's Muse Glimmer Now Available Across All Platforms in Ollama
Meta's latest open-source model Muse Glimmer is now fully available on all platforms in Ollama v0.32.8, with optimized performance on Apple Silicon through the MLX engine. The model is designed for coding agents and long-running personal assistants running entirely on local hardware.
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Claude Code With a Local LLM Running Offline Is the Hybrid Setup I Didn't Know I Needed
Developers are discovering powerful hybrid workflows that combine Claude's capabilities for complex reasoning with local LLMs for offline coding assistance and privacy. This practical approach offers the best of both worlds for development environments.
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Shikigami: Run AI Coding Agents in Parallel Using Git Worktrees
A new tool enabling developers to execute multiple AI coding agents concurrently through isolated Git worktrees, improving development workflows for local model-based code generation.
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AI Coding Agents Should Optimize for Less Owned Code
An analysis of how AI coding agents should be designed to minimize technical debt and proprietary code ownership, offering principles for sustainable local LLM-based code generation.
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Show HN: Brain.md – A Persistent Memory Layer for Your Coding Agents
Brain.md introduces a persistent memory system for coding agents, enabling stateful AI workflows that can maintain context and learn from interactions across sessions.
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Using Local Coding Agents
A practical guide to deploying and running coding agents locally, exploring how to leverage LLMs for code generation and automation without relying on cloud APIs.
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DeepSWE v1.1 – Updated Execution and Grading for Software Engineering Tasks
DeepSWE v1.1 enhances the benchmarking and evaluation framework for AI agents performing software engineering tasks. Updated execution and grading mechanisms improve assessment accuracy for locally-deployed coding LLMs and agents.
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Build Your Own Local AI Coding Agent with Gemma 4 and OpenCode
A practical guide to building a local AI coding agent using Google's Gemma 4 model and OpenCode framework, enabling developers to run code generation tasks entirely on-device without cloud dependencies.
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Community Survey: AI Coding Tools Usage Patterns and Local Deployment Preferences
Hacker News community discussion reveals current practices and preferences for AI-assisted coding tools, including insights into local versus cloud-based deployment choices.
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Maybe Coding Agents Don't Need a Bigger Memory. Maybe They Need Continuity
A thought-provoking analysis suggesting that the key to better coding agents isn't larger model size or context windows, but rather better continuity and persistent memory mechanisms.
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Developer Builds Local AI Coding Setup with Editor Integration, Zero Cloud Dependency
A practical guide demonstrates integrating local AI capabilities directly into code editors, creating a fully on-device development environment. The approach eliminates cloud dependencies while maintaining the productivity benefits of AI-assisted coding.
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llama.cpp Checkpoint Fix Accelerates Local Coding Agents
An optimization to llama.cpp's checkpoint handling improves inference speed for coding agent tasks, delivering faster token generation for local development workflows.
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Ollama Launches Pi: The Minimal Coding Agent That Powers OpenClaw Is Now Yours to Customize
Ollama releases Pi, a lightweight coding agent framework designed for customization and local deployment, extending the popular model management platform into agentic AI workflows.