Ryan Mitchell

Ryan Mitchell

How to Run Claude Sonnet 5.5 Agents in SharklyTutorials

How to Run Claude Sonnet 5.5 Agents in Sharkly

Run Claude Sonnet 5.5 agents in Sharkly: pin claude-sonnet-5-5 in Claude Code on a Computer, tune the Agent for medium effort, and keep Opus 5.5 as reviewer.

Ryan Mitchell

September 29, 2026

When an Agent Run Outlives Your Workday: Designing Review for 18-Hour AgentsTutorials

When an Agent Run Outlives Your Workday: Designing Review for 18-Hour Agents

Claude Opus 5.5 stays on task 18+ hours. A run that outlives your day inverts review. The stop condition, waiting state, and owned inbox that make overnight agent runs safe to return to.

Ryan Mitchell

September 23, 2026

Mixed-Model Crews: Cheap Workers, an Expensive Reviewer, and the Handoff Between ThemHuman-Agent Collaboration

Mixed-Model Crews: Cheap Workers, an Expensive Reviewer, and the Handoff Between Them

Cheap GPT-6 Luna workers plus a Claude Opus 5.5 reviewer only works if the handoff carries evidence, not a summary. The packet a worker returns, what the reviewer sends back, and the caching math.

Ryan Mitchell

September 23, 2026

How to Run GPT-6 Sol Agents in SharklyTutorials

How to Run GPT-6 Sol Agents in Sharkly

Bind gpt-6-sol as a Codex Runtime on one Computer, set up prompt caching before you scale the Crew, size the per-Task timeout for a slow first token, and assign one Task the team can review.

Ryan Mitchell

September 23, 2026

Higgsfield Without the Subscription: What You Save and What You Give UpTools

Higgsfield Without the Subscription: What You Save and What You Give Up

An even-handed look at what a Higgsfield subscription buys, what the pay-as-you-go route costs instead, and which workflows genuinely need the subscription.

Ryan Mitchell

September 22, 2026

Grok Imagine for Free: What Works and Where the Limits AreTutorials

Grok Imagine for Free: What Works and Where the Limits Are

What Grok Imagine actually gives you at no cost, the clip length and quota limits, whether an official API exists, and what changes if you route it through an aggregator.

Ryan Mitchell

September 22, 2026

How to Review AI-Generated Code With Task-Level EvidenceTools

How to Review AI-Generated Code With Task-Level Evidence

Review AI-generated code at the task level, not the diff. Learn the roles, statuses, and review gates that let agents produce and verify while humans accept.

Ryan Mitchell

September 20, 2026

Why the Best Coding Agent Matters Less Than How You Manage ThemTutorials

Why the Best Coding Agent Matters Less Than How You Manage Them

The best coding agent changes every month. What decides your output is the management layer around it: which agent is on what, what finished, and how fast you can review it. Here's why, and what to do this quarter.

Ryan Mitchell

September 20, 2026

Coding-Agent Handoff Templates: Roles, Statuses, and Review GatesTutorials

Coding-Agent Handoff Templates: Roles, Statuses, and Review Gates

A coding-agent handoff template is a fixed structure for what a task carries when it changes hands. Two copy-paste templates, the roles and statuses behind them, and a worked example from ticket to merged PR.

Ryan Mitchell

September 17, 2026

AI backlog management and triage: deciding what agents work on nextTutorials

AI backlog management and triage: deciding what agents work on next

How to triage a mixed human-agent backlog when moving a task can start a coding agent. Definitions, failure modes, a step-by-step flow, and a checklist you can run today.

Ryan Mitchell

September 17, 2026

Sharkly Pricing Explained: Free for Teams of 10, and Why Agents Never Take a SeatTutorials

Sharkly Pricing Explained: Free for Teams of 10, and Why Agents Never Take a Seat

Sharkly is currently free for organizations up to 10 people, $7/user/month past that. Agents, Crews, Computers, and Runtimes never occupy a seat, and Sharkly does not sell tokens.

Ryan Mitchell

September 15, 2026

Coding Agents While You're Away: Unattended Runs and the Review QueueTutorials

Coding Agents While You're Away: Unattended Runs and the Review Queue

Running a coding agent unattended has two halves: keeping the run alive while you're away, and the review queue you come back to. A step-by-step DIY setup with the failure mode at each step, where it stops scaling, and a checklist you can run today.

Ryan Mitchell

September 15, 2026

How to Track Work Completed by AI Coding AgentsTutorials

How to Track Work Completed by AI Coding Agents

Track work completed by AI coding agents without losing the thread. See where the git-and-terminal setup breaks, and what a shared task board adds.

Ryan Mitchell

September 10, 2026

From Group Chat to Traceable Code TasksTools

From Group Chat to Traceable Code Tasks

Turn a group chat message into a traceable, assigned, reviewable code task. Where the DIY worktree-and-PR loop works, where it breaks, and a checklist to run today.

Ryan Mitchell

September 10, 2026

How to compare coding agents on your own codebase (not a benchmark)Tutorials

How to compare coding agents on your own codebase (not a benchmark)

Public benchmark scores don't predict how a coding agent behaves in your repo. Here's a method to compare Claude Code, Codex, and Gemini on your own codebase, plus the five criteria that decide it.

Ryan Mitchell

September 9, 2026