news
Obsidian Starter Kit v4 Improvements since 4.0.0
Since shipping v4.0.0 two days ago, I've pushed three patch releases in quick succession: v4.0.1, v4.0.2, and v4.0.3. Here's the short version of what each one brought to the table.
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Oh My OpenAgent
Oh My OpenAgent (omo) is an agent-orchestration harness built on top of OpenCode; it coordinates multiple specialized agents to handle complex development work end-to-end with limited supervision. It was previously called oh-my-opencode.
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Plannotator
Plannotator is an open-source review surface for AI coding agents; it lets you annotate the agent's plan before execution and review the resulting diff in a PR-style interface, then send structured feedback back to the agent with one click.
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OpenChamber
OpenChamber is an open-source desktop and web interface built on top of OpenCode; it packages the agent harness into a multi-surface workspace for "engineering with agents".
Newsletter Archive
DeveloPassion's Newsletter #212 - Obsidian Starter Kit v4 Is Live
Four weeks of intense shipping; OSK v4 went live on May 15th as a fully AI-native release. Eight new AI agents, a complete tutorial library, the Book Exporter plugin, five articles published, a new YouTube video on AI context management, the Obsidian Community site launch, sales records,…
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Claude Code Agent View
Agent view, opened with `claude agents`, is one screen for dispatching and managing many background Claude Code sessions. Each row shows what a session is doing, what it needs, or what it produced — without scrolling through transcripts. Requires v2.1.139+; in research preview, so the UI and shortcu
Blog
Don't keep AI out of your vault. Put it in charge of the plumbing.
The standard 'keep AI away from your vault' advice solves the wrong problem. AI doesn't belong outside your knowledge base; it belongs inside, in charge of the plumbing while you stay in charge of the thinking. Here's the mindset and the structure that make that work.
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RTK
RTK (Rust Token Killer) is an open source CLI proxy written in Rust that intercepts shell command output and compresses it before it reaches an AI coding agent's Context Window. It sits as a transparent hook between the agent and the underlying tools (git, cargo, npm, docker, kubectl, AWS CLI, etc.)
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Software 3.0
Andrej Karpathy's term for software in which the runtime is a Large Language Model) and the program is a prompt (in natural language, structured prose, or markdown). The model interprets the prompt against the current input and emits behavior, optionally calling tools to interact with the world.
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Agent Development Lifecycle (ADLC)
The Agent Development Lifecycle (ADLC) is the engineering discipline for building, evolving, and operating AI Agents in production. It is the agent-era counterpart to the Software Development Lifecycle (SDLC); the stages share names, but the failure modes, evaluation methods, and operational concern
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LLM Tool Calling
Also called function calling. The pattern where a LLM) is given a list of available functions/tools (with names, descriptions, and parameter schemas), and the model decides when to invoke them and what arguments to pass. A host (an AI Agent Harness, an SDK, or the model provider's own platform) exec
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Software Design Patterns for AI Skills and Agents
Software architecture principles transfer to AI skill and agent design with minimal translation. Skills behave like pure functions. Agents behave like microservices. The system forms a dependency graph governed by the same principles that make software maintainable.