ponytail packs a single discipline — the "lazy senior dev" laziness ladder — into one SKILL.md and ships it to 16 agents via every mechanism (skill, hook, command, MCP, plugin), proving a ~54% code cut with a real agentic benchmark. We analyze it against Superpowers, and the idea that a skill is a bundle of discipline, distribution, and measurement rather than code.
Browser Use is a Python agent in which an LLM drives a real browser. It pre-chews the page into an indexed list of interactive elements for the LLM, drives the browser via CDP instead of Playwright, and runs the session with an event bus and watchdogs. We look at why this fits LLMs better, picking up from the earlier Playwright analysis.
Cline is a coding agent that lets you approve every action inside VS Code and roll back at any time. It also detaches its core from the host via a protobuf/gRPC boundary (ProtoBus + HostBridge), so the same core runs in the editor and in a terminal CLI. We analyze Plan/Act approval, checkpoints, and the host abstraction, contrasting them with OpenCode's headless engine.
OpenCode externalizes model metadata to models.dev and even hand-rolls its own LLM protocol layer, so any provider attaches with a single line of data. A single Effect-based HTTP engine is shared by the TUI, web, desktop, Slack, and editors (ACP), while two generations — legacy and V2 — coexist. We analyze the structure against Qwen Code's single-vendor platform.
Paper notes on InstructGPT covering its core method — the three-step RLHF recipe (SFT → reward model → PPO) — the alignment result where a 1.3B model beats 175B GPT-3, gains in truthfulness and toxicity, the alignment tax and PPO-ptx, and the limitations.