DeepSeek Harness Plugin Hub: The 4000+ Plugin Marketplace Explained

DeepSeek Harness Plugin Hub: The 4000+ Plugin Marketplace Explained

The DeepSeek Harness plugin hub is a decentralized, source-backed marketplace where every capability of the harness — models, tools, skills, sessions, sandboxes, storage, loops, scheduling, and the UI — is a swappable plugin. It grew from 0 to 7,740 plugins in under three weeks, making it one of the fastest-growing plugin ecosystems ever built. This guide explains how the hub works, how to install and publish plugins, and what to check before you trust one. ...

August 29, 2026 · 11 min · baeseokjae
Project Wiki: Durable Traceable Project Memory for AI Coding Agents

Project Wiki: Durable Traceable Project Memory for AI Coding Agents

A project wiki is a durable, versioned set of instructions and context that AI coding agents load into every session, so they never start from zero. The open AGENTS.md format — used by over 60,000 open-source projects — and Claude Code’s CLAUDE.md files give agents a predictable place to find build steps, conventions, and architecture. Because these files live in git, they are traceable: every change is recorded, reviewable, and honest. This guide shows you how to build one. ...

August 23, 2026 · 10 min · baeseokjae
Trending Radar 2026: Self-Updating Weekly Radar of Trending GitHub Repos

Trending Radar 2026: Build a Self-Updating Weekly Radar of Trending GitHub Repos

A self-updating weekly radar of trending GitHub repos is a scheduled pipeline that scrapes github.com/trending or the GitHub search API, deduplicates and ranks the results, and emits a markdown digest to your repo or blog with zero manual effort. In 2026, when AI tooling can add 100,000+ stars in a week, a manual weekly roundup is no longer fast enough. This guide shows you how to build one with GitHub Actions. ...

August 17, 2026 · 12 min · baeseokjae
Gemini 3.7 Flash: Developer Benchmark and Coding Performance Review

Gemini 3.7 Flash: Developer Benchmark and Coding Performance Review

Gemini 3.7 Flash is Google’s latest workhorse model for coding and agentic workflows, scoring 43.6% on the FrontierCode 1.1 Main benchmark (up from 34.4%) and 65.3% on DeepSWE v1.1 (up from 49.0%). Released just three weeks after 3.6 Flash, it also carries an introductory price of $0.75 per 1M input tokens — half the cost of its predecessor. For developers deciding whether to switch, this review breaks down the raw numbers. ...

August 16, 2026 · 9 min · baeseokjae
Goose AI Agent Review: Open Source Extensible AI Agent Beyond Code Suggestions

Goose AI Agent Review: Open Source Extensible AI Agent Beyond Code Suggestions

What Is Goose and Why Should You Care? Goose is a free, open-source AI agent built by Block (Jack Dorsey’s payments company) and now stewarded by the Linux Foundation’s Agentic AI Foundation (AAIF). Unlike AI coding assistants that only suggest code in your editor, Goose is a general-purpose automation agent that runs as a desktop app, CLI, or API — connecting to over 70 tools through MCP extensions, executing parallel subagents, and automating entire workflows with reusable YAML recipes. It has amassed over 52,000 GitHub stars and 500+ contributors, and Block deployed it to all 12,000 employees by October 2025, with engineers reporting 8–10 hours saved per week. ...

August 6, 2026 · 11 min · baeseokjae
TokenBar: AI Token Usage and Quota Monitor for macOS Menu Bar — Tracks 25+ Agents Locally

TokenBar: AI Token Usage and Quota Monitor for macOS Menu Bar — Tracks 25+ Agents Locally

TokenBar is a free, open-source macOS menu bar application that tracks AI token usage and API spending across 25+ coding agents entirely on your local machine. Built as a native Swift rewrite of the earlier Tauri-based tokcat, TokenBar gives developers real-time visibility into how many tokens Claude Code, Codex, Cursor, Copilot, Gemini CLI, and two dozen other agents consume — without sending any data to external servers or requiring an account. ...

August 2, 2026 · 11 min · baeseokjae
Succubus: Cross-Agent Coordination Daemon for AI Coding Agents — Full Review

Succubus: Cross-Agent Coordination Daemon for AI Coding Agents — Full Review

What is Succubus? Succubus is an open-source, single-binary daemon written in Go that coordinates multiple AI coding agents working on the same repository. It prevents the “blind multi-agent” problem — where two or more AI agents edit the same files without knowing about each other — by providing file claims with lease-based locking, a shared task board, inter-agent communication, and a real-time dashboard. Created by enowx labs and released on July 28, 2026, Succubus supports eight different AI coding tools including Claude Code, Codex CLI, Gemini CLI, Cursor CLI, and Aider, and integrates via both MCP server and mandatory lifecycle hooks. ...

July 30, 2026 · 12 min · baeseokjae
The Complete AI Coding Agent Setup Config: 17 Plugins and 18 Skills for Maximum Productivity

The Complete AI Coding Agent Setup Config: 17 Plugins and 18 Skills for Maximum Productivity

An AI coding agent setup config is a structured collection of plugins, skills, MCP servers, and custom commands that transforms a general-purpose AI coding tool into a specialized development assistant tailored to your tech stack and workflow. The most comprehensive community configurations now bundle 17 plugins and 18 skills, enabling developers to automate code generation, testing, deployment, research, and documentation from a single terminal interface. What is an AI Coding Agent and Why Configure It? An AI coding agent is a terminal-based assistant that understands your codebase, executes commands, reads and writes files, and interacts with external services through plugins and MCP servers. Unlike a simple chat interface, a configured agent operates inside your project directory, understands your dependency structure, runs tests, commits code, and deploys applications. ...

July 28, 2026 · 13 min · baeseokjae
Teach Yourself Skill Course Creator — Open-Source Self-Learning Platform Comparison

Teach Yourself Skill Course Creator: The Best Open-Source Self-Learning Platforms in 2026

Introduction — The Rise of Open-Source Self-Learning Course Creators The way developers learn new skills has fundamentally changed. Instead of enrolling in expensive bootcamps or subscribing to monthly platforms, a growing number of self-taught engineers are turning to open-source course creator tools that let them build, host, and share their own learning paths. A teach yourself skill course creator is an open-source platform that enables developers to design interactive courses, auto-grade code exercises, visualize skill trees, and even generate AI-powered lessons — all while retaining full control over their data and infrastructure. This article reviews the top open-source tools in 2026 for building self-learning courses, comparing features, community adoption, and real-world use cases. ...

July 27, 2026 · 10 min · baeseokjae
Claude Opus 4.5 Agent Experience — A Developer's Perspective

Claude Opus 4.5 Agent Experience: A Developer's Perspective on the New AI Coding Paradigm

Claude Opus 4.5 represents a paradigm shift in AI coding agents — it is the first model where developers can test behaviors instead of reviewing every line of code. Early adopters report building complete utilities in a single session, self-iterating on errors without human intervention, and experiencing a level of autonomy that fundamentally changes what it means to be a developer in 2026. What Makes Opus 4.5 Different from Previous AI Coding Agents? The short answer is reinforcement learning from human feedback (RLHF) applied at scale. According to Silen Naihin, a top 0.01% Cursor user who switched to Claude Code 2.0 with Opus 4.5, RLHF “completely changed the equation.” Developers no longer need to review code line by line — they can test behaviors instead. This shift from micro-review to macro-validation is the defining characteristic of the Opus 4.5 experience. ...

July 21, 2026 · 13 min · baeseokjae