Local-First AI Coding Agents
Local-first Junction notes on keeping code, credentials, agent execution, and project tooling on your machines.
How to Supervise a Long-Running Refactor With AI Agents
Keep a Claude Code or Codex refactor on track with checkpoints, diffs, approvals, and explicit stop points.
Why a Browser Control Surface Beats Remote Desktop for Claude Code and Codex
Compare browser-based agent control with remote desktop when supervising local Claude Code and Codex sessions from phones or laptops.
How to Structure One Junction Account for a Small Team
Plan a small-team Junction setup with clear daemon ownership, provider auth boundaries, plan limits, review habits, and Switchboard timing.
How to Keep One Junction Account Clean When Machines Come and Go
Keep your Junction account understandable as laptops, workstations, and servers are added, retired, renamed, or repurposed.
How to Run AI Coding Agents During a Release Freeze
Use a release-freeze policy to keep Claude Code and Codex moving on safe work while protecting release-critical branches and approvals.
How to Tell Whether a Repository Is Ready for Switchboard
Evaluate tests, branch hygiene, instructions, review paths, and daemon setup before routing a repository into Switchboard automation.
How to Organize Multiple Repositories in One Junction Workspace
Keep multiple repositories understandable in Junction with clear working directories, session names, Git state, and review habits.
How to Separate Personal and Work Daemons in Junction
Keep personal projects and work repositories cleanly separated with daemon boundaries, provider auth, Git identity, and plan choices.
When to Put Claude Code or Codex on a Headless VPS
Decide when a headless VPS is the right execution host for Claude Code or Codex, and when your laptop should stay the agent machine.
Set a Session Retention Policy for AI Agents
Keep useful Claude Code and Codex history without letting old sessions, branches, and notes take over the active surface.
Use a Dedicated Agent Box for Claude Code and Codex
Build a cleaner local AI agent workflow by running Claude Code and Codex on one stable machine while controlling them from any browser.
How to Search AI Agent Session History for Useful Context
Find the right prior Claude Code or Codex run faster by searching sessions for branch, repo, outcome, and failure mode.
How to Write AI Coding Agent Runbooks That Actually Help
Turn common Claude Code and Codex tasks into short repo-local runbooks that reduce drift and make supervision easier.
How to Name AI Coding Agent Sessions So They Stay Findable
A naming scheme for Claude Code and Codex sessions that makes search, handoff, and cleanup faster across devices and worktrees.
Agent Session Taxonomy: A Practical Way to Label and Search Runs
A practical taxonomy for naming AI agent sessions by intent, risk, and lifecycle so you can search, route, and archive them later.
Automation Candidate Grooming: How to Pick the Right AI Work
A practical filter for deciding which agent tasks are worth automating, and which should stay manual because the blast radius is too wide.
One Agent, One Task: The Discipline That Keeps Runs Reviewable
A simple rule for keeping AI agent runs reviewable: one run, one outcome, one branch, and one stop point.
Parallel Agent Experimentation: Compare Claude Code and Codex Fairly
How to run the same task with Claude Code and Codex in parallel so you can compare diffs, risk, and review effort without guesswork.
Stop Before Shared State Damage: A Better Rule for Agent Runs
A stop rule for AI agent runs that touch shared branches, migrations, or other repo state before a small mistake becomes expensive.
Weekly Agent Ops Checklist: Keep Claude Code and Codex Tidy
A weekly sweep for cleaning up runs, branches, notifications, and daemon state before small bits of drift become busywork.
Configure Switchboard Route Settings for Team and Repo Routing
Learn how Switchboard route settings map Linear teams and repositories to daemons, agents, models, branches, and automation rules.
Send Conflict-Fix Instructions Back to Agents
Turn merge conflicts and branch drift into a focused follow-up task for Claude Code or Codex instead of manually restarting work.
Archive AI Agent Sessions Without Losing History
Keep active Claude Code and Codex chats manageable while preserving transcripts, review context, and useful handoff details.
Keep Claude Code and Codex Auth Separate on Each Daemon
Learn how daemon-scoped Claude Code, Codex, GitHub, and model settings keep local AI coding workflows easier to route and debug.
Use CLAUDE.md and AGENTS.md to Steer Local Agent Runs
Write durable repository instructions that help Claude Code and Codex follow project rules while Junction keeps execution local.
Resume AI Agent Sessions Across Devices
Learn how to keep Claude Code and Codex context available when you move between desktop, browser, phone, and archived history.
Use the Terminal and File Browser as an Agent Control Surface
See how terminal output, workspace files, diffs, and agent transcripts work together when supervising Claude Code and Codex.
Plan Around AI Coding Agent Rate Limits
Learn how to plan Claude Code and Codex workflows around usage windows, quotas, local telemetry, and review timing without guessing.
Use Branch Suggestions to Keep Agent Runs Reviewable
Keep Claude Code and Codex work reviewable by starting each local agent run on the right branch, worktree, and pull request path.
Use Live Output Streaming to Catch Agent Problems Early
Learn how real-time Claude Code and Codex output helps you catch drift, bad commands, and stalled agent runs before the diff grows.
Claude Code vs Codex for Local-First Development
Compare Claude Code and Codex for local-first agent workflows by task shape, context needs, review style, and Junction fit.
Track AI Coding Agent Costs Per Session
Learn why per-turn and per-session cost visibility matters when Claude Code and Codex runs become long, parallel, or automated.
Turn Local AI Agent Runs Into Pull Requests
A practical checklist for moving Claude Code or Codex work from a local agent run to a reviewable pull request.
Custom Prompt Templates for AI Coding Agents
Use custom prompt templates to make repeated Claude Code and Codex workflows clearer, safer, and easier to run from Junction.
Inspect AI Agent Runs Without Terminal Hunting
Learn what to inspect after Claude Code or Codex runs: status, output, logs, diffs, approvals, and review-ready handoffs.
MCP Server for AI Agent Orchestration
Learn how Junction's built-in MCP server lets local agents create, prompt, and inspect other agent runs without moving code.
How the Junction Daemon Keeps AI Agents Local
Understand how Junction's daemon, web app, relay, and agent sessions work together while Claude Code and Codex run locally.
Why Junction Is a PWA for AI Coding Agents
See why a PWA control surface fits local AI coding agents: installability, mobile review, push notifications, and local execution.
Codex CLI vs Codex Web for Local-First Workflows
Compare Codex CLI and Codex web by execution location, local environment needs, review flow, and when Junction fits.
Use Claude Code and Codex Side by Side
Run Claude Code and Codex in separate local sessions, keep context isolated, and compare results without mixing agent work.
Junction Pricing: Free vs Core vs Switchboard
Compare Junction Free, Core, and Switchboard by workflow: one daemon, unlimited chats, or Linear issue-to-pull-request automation.
Set Up Junction for Claude Code and Codex
Install the Junction daemon, pair your browser, and start controlling Claude Code or Codex from a local-first web app.
Control AI Coding Agents from Your Phone Without Moving Your Code
A practical guide to monitoring Claude Code and Codex from your phone while your code, terminals, and credentials stay on your own machine.
How to Approve AI Agent Actions Safely Without Slowing Down
Use permission modes, scoped approvals, and local-first execution to keep AI coding agents productive without rubber-stamping risky changes.
How to Manage Multiple AI Coding Agents Across Machines
Learn the workflow for routing AI agent work across a laptop, workstation, and VPS without losing track of approvals, diffs, or status.
How to Monitor Claude Code from Your Phone Without SSH
Keep a Claude Code session local, read live output on mobile, and decide when to approve, stop, or review the next step.
How to Monitor Codex from Your Phone Without a Cloud Sandbox
Watch Codex runs on mobile, keep execution local, and review blockers, diffs, and PR state without handing the repo to a hosted workspace.
Junction Encrypted Relay, Explained: What It Protects and Why
Understand what Junction's encrypted relay protects, what it does not, and why local-first remote access is safer than ad hoc SSH or port forwarding.
What an AI Coding Agent Dashboard Should Actually Do
A practical checklist for dashboards that supervise local AI agents well: live streams, approvals, diffs, notifications, and Git state.
Why Local-First AI Coding Agents Still Need a Control Surface
Local execution protects your repo, but you still need a browser and phone-friendly way to watch runs, approve actions, and review diffs.
Local-first agent workflows
Local-first AI coding agents deserve a control surface
Run AI coding agents where your repositories, credentials, and tools already live while Junction adds remote visibility and control.