#AI coding agents
2016 related articles
·2 min
BatonBot: An Open-Source Kanban Tool for Managing AI Coding Agents
BatonBot is a local-first open-source kanban tool built for AI coding agents. Features prompt queuing, pipelines, Jira integration, and multi-model support.
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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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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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·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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·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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·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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·6 min
Omnigent Open-Sourced: A Meta-Harness for AI Coding Agents Built by Databricks
Databricks open-sources Omnigent, a Meta-Harness for orchestrating Claude Code, Codex, and more AI coding assistants together—with built-in guardrails, cross-model workflows, and real-time collaboration. Get started in 10 minutes.
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·4 min
Harness Engineering: The Third Phase of AI Coding and a Practical Guide to agents.md
A deep dive into Harness Engineering — the third phase of AI coding. Based on research across 2,853 GitHub repos, explore agents.md, Skills, MCP, and eight configuration mechanisms to control your AI coding assistant.
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·4 min
AI Coding Security: A CLI Tool Designed to Block Vulnerable Dependencies for Agents
AI coding assistants (Copilot/Cursor/Claude Code) frequently introduce vulnerable dependencies and hallucinate package names. This post analyzes an Agent-native CLI security tool and the shift-left security philosophy for AI-era supply chains.
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·3 min
Getting Started with Codex: A Deep Dive Comparison of AI Coding Agents vs. Claude Code
A deep dive into AI coding agents like Codex and Claude Code — real-world comparisons, MCP protocol explained, and how these tools are transforming programming for developers and beginners alike.
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·7 min
Spec-Driven Development: Andrew Ng Teaches You to Master AI Coding Agents Efficiently
Andrew Ng partners with JetBrains on a new course systematically teaching Spec-Driven Development. By writing high-quality specs, developers can precisely control AI coding agents, eliminate context decay, and boost intent fidelity.
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·6 min
video-use: The Open-Source Tool That Lets AI Coding Agents Auto-Edit Videos
video-use from the browser-use team lets AI coding Agents auto-edit videos via natural language. 13K+ GitHub stars, batch processing, silence removal, FFmpeg integration.
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·2 min
Files as Memory: How to Finally Cure AI Coding Agents of Context Amnesia
AI coding agents suffering from context amnesia? The planning-with-files project uses Markdown file persistence to enable cross-session task continuity, compatible with 60+ tools including Claude Code and Cursor. 24K+ Stars.
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·3 min
Agentic Coding: How AI Agents Are Reshaping Legacy System Modernization
Developers spend 60%+ of their time understanding legacy code. Agentic Coding uses AI Agents to autonomously explore codebases, map hidden dependencies, and generate tests—turning legacy modernization from risky archaeology into a controlled engineering process.
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