Articles
Everything written so far.
Every Starkslab article: OpenClaw source reads, agent architecture, coding-agent workflows, and reviews of the tools around them.
- AI Agent ToolsPydantic AI Agent Framework: Typed Control Surface, Not MagicPydantic AI is useful because it makes typed agent contracts visible. The current evidence supports a control-surface map, not runtime, safety, benchmark, or adoption claims.
- AI Agent ToolsMastra Agent Framework: What Its TypeScript Control Surface ShowsMastra is useful Starkslab evidence because its public repo and docs expose a TypeScript agent framework with clear control surfaces. That supports inspection, not adoption guidance.
- AI Agent ToolsOpen Computer Use MCP: The Computer Runtime BoundaryOpen Computer Use MCP is useful Starkslab evidence because it makes the computer-use runtime boundary visible. That supports inspection, not adoption guidance.
- AI Agent ToolsHerdr Agent Multiplexer: Terminal Control Surface for AgentsHerdr is useful Starkslab evidence because its repo and docs expose an agent-aware terminal multiplexer: real panes, persistent sessions, state rollups, and CLI/socket controls.
- AI Agent ToolsEntire CLI AI Agent Sessions: Git-Native Provenance for Agent WorkEntire CLI is useful Starkslab source stock because it treats AI agent sessions as Git-indexed provenance. The source read supports workflow-inspection lessons, not adoption, runtime, security, or compliance claims.
- AI Agent ToolsQwen Code Agent CLI: What the Source Shows About Its Control SurfaceQwen Code is useful Starkslab evidence because its official source and docs expose a modern agent CLI control surface. That supports inspection, not adoption guidance.
- AI Agent ToolsAntigravity CLI: What Changed After Gemini CLI Became A Transition StoryAntigravity CLI changes how operators should read Gemini CLI guidance: currentness and control-surface evidence, not runtime, migration, security, or adoption proof.
- AI Agent ToolsOpenCode Shows the Real Boundary of Terminal Coding AgentsSource-read note on what OpenCode reveals about terminal coding-agent workflows, and why source evidence is enough to map the boundary but not enough to recommend adoption.
- AI Agent ToolsBrowser Harness Is an Editable CDP Sidecar, Not a Magic Browser AgentBrowser Harness is useful because it makes the browser-agent control boundary visible. The source read supports a small CDP/helper/domain-skill harness, not claims about safe accounts, runtime reliability, pricing, adoption, or production readiness.
- AI Agent ToolsUI-TARS Desktop: The Four Operator Surfaces Behind Computer-Use AgentsUI-TARS Desktop is useful Starkslab source stock because it exposes the topology behind computer-use agents. The source read supports an operator-surface map, not a benchmark, safety claim, or adoption recommendation.
- AI Agent ToolsAI Agent Sandbox Substrates: What CubeSandbox Makes VisibleAn AI agent sandbox is a substrate contract, not a checkbox on an SDK. CubeSandbox is useful because its source makes the substrate layers visible, but the current evidence does not prove runtime safety, production use, E2B parity, benchmark performance, or Starkslab adoption.
- AI Agent ToolsOpenAI Agents SDK Is a Workflow-Control Stack, Not Just an Agent LoopOpenAI Agents SDK is useful because its source-visible surfaces expose workflow-control boundaries without proving runtime quality, production readiness, sandbox safety, benchmarks, or adoption value.
- AI Agent ToolsAgent CLI Control Surfaces: What To Compare Before You Trust a Coding AgentThe useful agent CLI comparison is not a winner ranking. It is a control-surface audit: what the tool can see, edit, execute, delegate, extend, report, and recover from before an operator trusts it.
- AI Agent ToolsSuperpowers Skills Framework: Source Read, Control-Plane Lessons, and Adoption BoundariesSuperpowers is useful proof stock for agent skills as behavior-changing source artifacts, but the source read does not prove install safety, runtime enforcement, or adoption readiness.
- AI Agent ToolsHow Agent Tool Radar Scores Open-Source AI Agent ToolsA methodology note for Agent Tool Radar: public GitHub signals, deterministic scoring, evidence boundaries, and why scores are research leads, not recommendations.
- AI Agent ToolsComputer Use Agents Are Website QA Sensors, Not Site FixersA proof-safe operator note for computer use agents website QA: visible-state sensors, route parity checks, and browser evidence without source-truth overreach.
- AI Agent ToolsWhat Is a Coding-Agent Control Plane? Skills, MCP, Config, and Safety GatesA coding-agent control plane is the operator-owned layer around skills, MCP servers, config, memory, sessions, and safety gates.
- AI Agent ToolsThe AI Developer Tools I Built and Open Sourced
- AI Agent ToolsMCP Gateway for AI Agents: Why Tool Access Needs a Sandbox ContractAgent tool access is getting more serious than "give the model another integration." Once an agent can touch repositories, analytics, Search Console, deployment, public publishing, or account state, the real question becomes: what is it allowed to read, whe...
- AI Agent Toolsdmux Shows the Useful Coding-Agent UI Is a Worktree CockpitA proof-support note for AI Agent Tools: dmux is useful as a worktree cockpit pattern, not a validated runtime recommendation.
- AI Agent ToolsLangSmith Observability: The Trace Layer AI Agents Need Before ProductionLangSmith observability gives AI agents traces, runs, threads, dashboards, evals, and OpenTelemetry support. Here is what matters, what to steal, and where local traces still win.
- AI Agent ToolsThe Coding Agent Harness Layer: How to Orchestrate Claude Code, Codex, Gemini CLI, and More Without Workflow RotA practical field guide to the coding agent harness layer: when to stay native, when wrappers help, and when a harness earns its complexity.
- AI Agent ToolsCoding Agent Wrappers: Convenience, Durability, and Policy Risk Without the HypeA practical guide to coding agent wrappers: where they help, where they degrade workflow quality, and how to judge native CLI vs wrapper vs harness without policy melodrama.
- AI Agent ToolsCross-Agent Handoff: How to Move Work Between Coding Agents Without Losing ContinuityA practical field guide to cross-agent handoff: what belongs in the packet, when to resume instead of switch, and how to move work between coding agents without turning the workflow into mush.
- AI Agent ToolsClawSweeper Review: What It Actually DoesClawSweeper is an AI repo-maintenance worker with typed decisions, durable artifacts, and a proposal/apply split. Here’s what it actually does and why the design matters.
- AI Agent ToolsOpenAI Symphony Review: What It Actually DoesOpenAI Symphony is an issue-driven coding-agent orchestrator with repo-owned workflow contracts, reconciliation loops, and per-issue workspaces. Here’s what it actually does and what builders should steal.
- AI Agent ToolsHermes Agent Review: What It Actually Does, What Works, and What Is HypeCode-first Hermes Agent review for builders: runtime architecture, memory, skills, messaging, scheduler, validation boundary, and what to trust versus ignore.
- AI Agent ToolsDatafast CLI for AI Agent Tools: Workflow, Artifacts, HandoffsA support page for the AI Agent Tools cluster: why Datafast CLI works as a JSON-first analytics workflow after the tool already exists.
- AI Agent ToolsSEO CLI for AI Developer Tools: SERPs, Audits, HandoffsA CLI-first SEO workflow for Starkslab: keywords, SERPs, audits, rank checks, and failure logs turned into reusable artifacts for AI agent tools.
- AI Agent ToolsAI Developer Tools: The Starkslab Operating System We Run in ProductionAI developer tools mapped as a production operating system: orchestration, coding delegation, SEO, analytics, intake, artifact gates, and support routes.
- AI Agent ToolsHow to Build CLI Tools That AI Agents Can Actually UseI built datafast-cli and pointed an autonomous AI agent at it. 13 commands, 2 bugs found, and the 5 principles that make CLI tools genuinely useful as AI agent tools.
- AI Agent ToolsWhat Is a Coding-Agent Control Plane? Skills, MCP, Config, and Safety GatesA source-observed field guide to the operator layer around coding agents: runtime routing, skills, MCP tools, project memory, sessions, and safety gates.