#AI Coding Agent
3052 related articles
·2 min
Karma: An AI Coding Agent Orchestration Tool for Building Multi-Agent Collaborative Systems
Karma is an orchestration layer for AI coding agent frameworks, solving multi-agent collaboration, task decomposition, state management, and observability challenges. Compatible with Aider, OpenHands, and more.
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·2 min
Waveloom: An Open-Source Terminal AI Coding Agent Deeply Optimized for DeepSeek
Waveloom is an open-source terminal coding Agent deeply optimized for DeepSeek, with cache hit rates near 99% to drastically cut token costs. Supports Linux, Windows, macOS, and Claude Code Skills.
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Getting Legal AI Right: Why the Coding…
·2 min
Getting Legal AI Right: Why the Coding Agent Paradigm Doesn't Translate
Most legal AI products are just general-purpose models wrapped in RAG and prompt engineering scaffolding. Learn why the coding agent paradigm fails in law and what real legal AI requires.
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·3 min
AI Coding Agents Explosion: CodeWell Goes Open Source, Kimi K3 Launches, Claude Gets Browser Access
CodeWell open-sources a multi-model terminal coding agent, Kimi K3 launches with ultra-long context, MiniMax Code 2.0 rebuilds its Agent architecture, and Claude gets browser access. AI is accelerating from content generation to task execution.
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·3 min
AI Coding Agents in Practice: An Efficient Configuration Guide for Cursor and Codex
How to configure Cursor, Codex, Devin, and other AI coding agents for context management, code quality, and cross-tool collaboration. Practical tips on rule files, TDD, and structured context storage.
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AI Coding Agents Have Amnesia — An Ope…
·2 min
AI Coding Agents Have Amnesia — An Open-Source SSH-Synced Memory System Wants to Fix That
Tired of AI coding agents forgetting everything? Explore an open-source SSH-synced memory system that lets Cursor, Claude Code, and other agents retain project context across sessions and devices — no cloud required.
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Smart Proxy: The Key Architecture for …
·3 min
Smart Proxy: The Key Architecture for Running AI Coding Agents Safely and Autonomously
Too much AI permission is risky; too little kills productivity. A smart proxy acts as a controllable middleware layer — intercepting, auditing, and policy-gating AI agent actions in tools like Claude Code and Cursor for safe autonomous operation.
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·2 min
Vibe Coding in Practice: AI Agents Complete Full Research Experiments in Minutes
No coding required — just describe your needs in natural language. AI Agents handle data cleaning, model training, and visualization automatically. We tested Codex and Claude Code on a heart disease prediction task.
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PlanWright: A Control Plane and Multi-…
·2 min
PlanWright: A Control Plane and Multi-Agent Orchestration Layer for AI Coding Agents
PlanWright is a control plane for AI coding agents, drawing on Kubernetes orchestration principles to tackle multi-agent task assignment, state tracking, and collaboration conflicts.
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·1 min
Juggler: An AI Coding Agent Built for Programmers Who Demand Full Control
Juggler is an open-source AI coding agent for hardcore programmers that treats LLM context as an editable document, offering deep inspection, fast navigation, and flexible local/remote deployment.
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Terrence Tao on AI Coding Agents: How …
·2 min
Terrence Tao on AI Coding Agents: How a Mathematician Sees the Transformation of App Development
Fields Medalist Terry Tao shares his experience with AI coding agents—rebuilding legacy apps and rapidly building new tools. A mathematician's view on their capabilities and impact.
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·1 min
Four Weeks to AI Coding: A Complete Learning Path for Codex and AI Agents
How to learn AI coding from scratch? This article breaks down a four-week framework for Codex and AI Agents: master core skills, build workflows, develop Agents, and complete real projects.
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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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·3 min
OpenAI Codex CLI Hands-On Tutorial: A Guide to Using the Local Terminal AI Coding Agent
An in-depth guide to installing, logging in, and using OpenAI Codex CLI: call AI directly in your local terminal to modify code, refactor components, and add file and image context, with Git branch management for an efficient local AI coding workflow.
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·2 min
Microsoft Open-Sources .NET Skills: Making AI Coding Agents Master C# Development
Microsoft open-sources dotnet/skills, packaging .NET/C# best practices as structured skills for AI coding agents. Bridges domain knowledge gaps in general LLMs, improving code quality for GitHub Copilot and other tools.
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·3 min
Building a Local AI Coding Agent on Mac: A Complete Guide with Ollama, OpenCode, and MCP
A complete guide to building a local AI coding agent on a 32GB Mac: Ollama for local inference, OpenCode as the agent framework, and MCP memory servers for cross-session context. Code stays on-device, no subscription fees.
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·2 min
SubjectiveZero: A New Creative Coding Paradigm with AI Agents and Node Editors
SubjectiveZero is an open-source agentic node editor for creative coding, merging AI agents with visual node programming. Explore its technical vision and value for digital artists.
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·5 min
ECC: An Agent Enhancement Framework for AI Coding Assistants — Five Core Capabilities Explained
ECC is an agent optimization framework for AI coding assistants like Claude Code, Cursor, and Codex, enhancing them with skills, memory, security, and research-first development capabilities.
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·2 min
Agent Skills: Bringing Production-Grade Engineering Capabilities to AI Coding Agents
Google engineer Addy Osmani's open-source project agent-skills (76k+ GitHub stars) injects production-grade engineering skills into AI coding agents, covering performance, security, and code quality.
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·4 min
Kun: An Open-Source AI Coding Agent Deeply Optimized for DeepSeek
Kun is an open-source AI coding agent optimized for DeepSeek and domestic users, with nearly 5,000 GitHub stars. Features include requirements drafting, inline diffs, cost visualization, and mobile monitoring. Real-world cache hit rates reached 97%, keeping costs extremely low.
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