Human-Agent Collaboration

Haiku 5.5 as a Subagent or as Its Own Agent: Where Cheap Work Should LiveHuman-Agent Collaboration

Haiku 5.5 as a Subagent or as Its Own Agent: Where Cheap Work Should Live

Anthropic built Haiku 5.5 to be a subagent. A placement rule for cheap work: in-run subagent when the lead checks it, its own Agent and Task when it ships.

Lucas Hayes

October 8, 2026

How to Run Claude Haiku 5.5 Agents in SharklyHuman-Agent Collaboration

How to Run Claude Haiku 5.5 Agents in Sharkly

Run Claude Haiku 5.5 agents in Sharkly: pin claude-haiku-5-5 in Claude Code, set it in the Agent's Custom arguments, and keep runs under the 100K price step.

Sophia Carter

October 8, 2026

Codex Cloud Is Here. When Should Your Agents Still Run on Your Own Computers?Human-Agent Collaboration

Codex Cloud Is Here. When Should Your Agents Still Run on Your Own Computers?

Codex cloud runs tasks in reusable environments while your laptop sleeps. When your own Computers still win: other Runtimes, private networks, custom hardware.

Lucas Hayes

October 2, 2026

OpenAI's Agents API Runs the Loop for You. Who Runs the Agents?Human-Agent Collaboration

OpenAI's Agents API Runs the Loop for You. Who Runs the Agents?

OpenAI's Agents API hosts the Codex harness and, since DevDay, computer use with approval events. What stays with your team: assignment, review, acceptance.

Leo Harrison

October 2, 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

Ten Agents on GPT-6 Luna or One on Opus 5.5: Which Configuration Actually Ships MoreHuman-Agent Collaboration

Ten Agents on GPT-6 Luna or One on Opus 5.5: Which Configuration Actually Ships More

GPT-6 Luna is 93% cheaper per task than Claude Opus 5 on DeepSWE 1.1 while scoring 66.6%. Ten cheap agent runs or one expensive one: it depends on whether a test suite or a person picks the winner.

Sophia Carter

September 23, 2026

Coding Agent Permissions: What an Agent Should and Shouldn't Be Allowed to DoHuman-Agent Collaboration

Coding Agent Permissions: What an Agent Should and Shouldn't Be Allowed to Do

Coding agent permissions in three layers: runtime tools, the machine and its credentials, and task scope. The failure mode at each step, plus a checklist for what an agent should and shouldn't do.

Leo Harrison

September 20, 2026

Human Review Is the Bottleneck: Designing Review for Parallel AgentsHuman-Agent Collaboration

Human Review Is the Bottleneck: Designing Review for Parallel Agents

Run agents in parallel and review becomes the constraint. An operating model, statuses, and review gates: agents move to Ready for review, humans move to Done, with a worked example from ticket to merged PR.

Ashley Innocent

September 17, 2026

Operations Teams and AI Agents: Triage, Automate, Close the LoopHuman-Agent Collaboration

Operations Teams and AI Agents: Triage, Automate, Close the Loop

Operations work arrives unpredictably. Here's how Sharkly splits it: Triage for the unpredictable third, Automations for the recurring rest, and results that return to the Task for human review.

Leo Harrison

September 15, 2026

Coding Agent Observability: Status, Logs, and Failure Signals That MatterHuman-Agent Collaboration

Coding Agent Observability: Status, Logs, and Failure Signals That Matter

Coding agent observability is more than status and logs. Learn the three signal layers, the six failure signals that actually matter, and how much you need by team size.

Mia Parker

September 15, 2026

What Happens When Two Coding Agents Edit the Same FileHuman-Agent Collaboration

What Happens When Two Coding Agents Edit the Same File

Point two coding agents at the same file and there is no lock, just whoever saves last. Here is the collision step by step: silent clobber, visible merge conflict, invisible semantic break, plus a checklist to run before your next parallel session.

Ashley Innocent

September 15, 2026

AI Assistants vs AI Agents: What Changes When You Stop Watching?Human-Agent Collaboration

AI Assistants vs AI Agents: What Changes When You Stop Watching?

An AI assistant works inside your session; an AI teammate is assigned work that outlives it. The five things that change at work, and where the teammate metaphor breaks.

Aiden Flux

September 10, 2026

Codex Lets You Raise the Subagent Cap to 64. Here Is What Breaks First.Human-Agent Collaboration

Codex Lets You Raise the Subagent Cap to 64. Here Is What Breaks First.

agents.max_concurrent_threads_per_session is real, but the default is unpublished. What the Codex reference says, and the three things that break when 64 subagents share one session.

Sophia Carter

September 10, 2026

Project Management Tools for Human-Agent CollaborationHuman-Agent Collaboration

Project Management Tools for Human-Agent Collaboration

Compare project management tools for human-agent collaboration on parallel execution, team visibility, review, and own-machine runs, then pick one by team size.

Sophia Carter

September 10, 2026

Codex Parallel Agents: How to Run Multiple Codex Tasks at OnceHuman-Agent Collaboration

Codex Parallel Agents: How to Run Multiple Codex Tasks at Once

Run multiple Codex tasks in parallel without merge collisions. Step-by-step worktree setup, the failure mode at each step, and where a task board takes over.

Aiden Flux

September 10, 2026