Your Box and Your Trust Model
What runs on your machine, and how much rope you give the agent — one has a project answer, the other is yours
Library
All cairns organized by topic. Each article may appear under multiple tags.
What runs on your machine, and how much rope you give the agent — one has a project answer, the other is yours
Worktrees, the bd worktree warning, and the one Docker constraint we have not solved yet
The second ledger every commit needs — one line of what, why, and how, searchable forever
A map of every tool between you and a shipped pull request, and where each one comes from
RTK, tokf, and the small CLI multipliers that compound across every session
Lint, types, tests, coverage, audits — the deterministic constraints that make agent-driven work safe to ship
The discovery surface that turns project incantations into a known place humans and agents both look first
What's changed about writing production software, and what this trail is going to teach you
One realistic feature, end to end, with every prior cairn put to work
When a single model is bluffing or stuck, a second model is the cheapest unblock available
The agent harness most of us reach for first, what we run inside it, and the alternatives that are perfectly fine
The CLI issue tracker that gives an agent a memory that survives the next compaction
Why we built Conduit, and what it gives the team that nothing else did
Onboarding a project, surviving operational failure, and what's deferred until the system grows
The architecture that lets one consumer site read N project repos without coupling either side to the other
A design pack for turning KCCI project folders into a managed, searchable, auditable knowledge system
Why the current OpenClaw design keeps long-term memory private to each lane and shares knowledge through docs instead
How OpenClaw gives Q a real computer without letting public channels rewrite the machine it runs on
What happens when the ground shifts under a running AI agent — and how three days of misdiagnosis led to a five-minute fix
A Development Ledger for the Age of AI Agents
Building a self-improving knowledge system from zero in under 8 hours of actual effort — and what that says about internal tooling in 2026
Why AI Agents Forget Everything and What To Do About It
Defending LLM agents against prompt injection when they read the world
What Happens When an AI Agent Picks Up the Work Nobody Owns
How ECOs, job numbers, statuses, and timelines carry meaning across teams that do not share a tool
The architecture that lets one consumer site read N project repos without coupling either side to the other
Why field workflows need a soft-complete state before they earn the right to be done
A design pack for turning KCCI project folders into a managed, searchable, auditable knowledge system
How Osprey Strike authenticates browsers, webhooks, and upstream APIs without collapsing them into one trust boundary
Why the current OpenClaw design keeps long-term memory private to each lane and shares knowledge through docs instead
How OpenClaw gives Q a real computer without letting public channels rewrite the machine it runs on
Why Osprey Strike needs a two-dimensional tenancy model instead of a generic SaaS checkbox
What happens when the ground shifts under a running AI agent — and how three days of misdiagnosis led to a five-minute fix
A Development Ledger for the Age of AI Agents
What Osprey Vantage is actually building, and why it looks the way it does
The emergency callout problem in outside plant fiber construction
Where Osprey Strike stands today, what's coming, and the questions that still need answers
How Osprey Strike is structured, from mono-repo to multi-tenant
Why AI Agents Forget Everything and What To Do About It
Defending LLM agents against prompt injection when they read the world
From outage detection to field resolution — how an emergency callout moves through the system
From Cloudflare edge to PostgreSQL — how Osprey Strike deploys, authenticates, and scales
Event sourcing and CQRS in Osprey Strike — the architecture, the migration, and the escape hatch
Coordinating between GitHub and beads, for the people doing the planning and the people doing the building
What Osprey Vantage is actually building, and why it looks the way it does
How O&M agreements and CLEC licensing are reshaping who runs fiber networks
The emergency callout problem in outside plant fiber construction
Where Osprey Strike stands today, what's coming, and the questions that still need answers
Coordinating between GitHub and beads, for the people doing the planning and the people doing the building
What's changed about writing production software, and what this trail is going to teach you
One realistic feature, end to end, with every prior cairn put to work
When a single model is bluffing or stuck, a second model is the cheapest unblock available
The agent harness most of us reach for first, what we run inside it, and the alternatives that are perfectly fine
Why we built Conduit, and what it gives the team that nothing else did
Building a self-improving knowledge system from zero in under 8 hours of actual effort — and what that says about internal tooling in 2026
What Happens When an AI Agent Picks Up the Work Nobody Owns
Coordinating between GitHub and beads, for the people doing the planning and the people doing the building
Worktrees, the bd worktree warning, and the one Docker constraint we have not solved yet
The second ledger every commit needs — one line of what, why, and how, searchable forever
A map of every tool between you and a shipped pull request, and where each one comes from
RTK, tokf, and the small CLI multipliers that compound across every session
Lint, types, tests, coverage, audits — the deterministic constraints that make agent-driven work safe to ship
The discovery surface that turns project incantations into a known place humans and agents both look first
One realistic feature, end to end, with every prior cairn put to work
The CLI issue tracker that gives an agent a memory that survives the next compaction
Why we built Conduit, and what it gives the team that nothing else did
Onboarding a project, surviving operational failure, and what's deferred until the system grows
The architecture that lets one consumer site read N project repos without coupling either side to the other
How Osprey Strike authenticates browsers, webhooks, and upstream APIs without collapsing them into one trust boundary
What happens when the ground shifts under a running AI agent — and how three days of misdiagnosis led to a five-minute fix
A Development Ledger for the Age of AI Agents
How Osprey Strike is structured, from mono-repo to multi-tenant
From Cloudflare edge to PostgreSQL — how Osprey Strike deploys, authenticates, and scales
What Happens When an AI Agent Picks Up the Work Nobody Owns
How ECOs, job numbers, statuses, and timelines carry meaning across teams that do not share a tool
A table-based quick reference rebuilt from the Fiber Industry Notion database
Why Osprey Strike needs a two-dimensional tenancy model instead of a generic SaaS checkbox
What Osprey Vantage is actually building, and why it looks the way it does
How O&M agreements and CLEC licensing are reshaping who runs fiber networks
The emergency callout problem in outside plant fiber construction
Where Osprey Strike stands today, what's coming, and the questions that still need answers
How Osprey Strike is structured, from mono-repo to multi-tenant
From outage detection to field resolution — how an emergency callout moves through the system
Event sourcing and CQRS in Osprey Strike — the architecture, the migration, and the escape hatch
How ECOs, job numbers, statuses, and timelines carry meaning across teams that do not share a tool
Why field workflows need a soft-complete state before they earn the right to be done
What runs on your machine, and how much rope you give the agent — one has a project answer, the other is yours
Lint, types, tests, coverage, audits — the deterministic constraints that make agent-driven work safe to ship
How Osprey Strike authenticates browsers, webhooks, and upstream APIs without collapsing them into one trust boundary
Why the current OpenClaw design keeps long-term memory private to each lane and shares knowledge through docs instead
How OpenClaw gives Q a real computer without letting public channels rewrite the machine it runs on
Why Osprey Strike needs a two-dimensional tenancy model instead of a generic SaaS checkbox
What happens when the ground shifts under a running AI agent — and how three days of misdiagnosis led to a five-minute fix
Defending LLM agents against prompt injection when they read the world
From Cloudflare edge to PostgreSQL — how Osprey Strike deploys, authenticates, and scales
What Happens When an AI Agent Picks Up the Work Nobody Owns
Coordinating between GitHub and beads, for the people doing the planning and the people doing the building
What runs on your machine, and how much rope you give the agent — one has a project answer, the other is yours
Worktrees, the bd worktree warning, and the one Docker constraint we have not solved yet
The second ledger every commit needs — one line of what, why, and how, searchable forever
A map of every tool between you and a shipped pull request, and where each one comes from
RTK, tokf, and the small CLI multipliers that compound across every session
The discovery surface that turns project incantations into a known place humans and agents both look first
What's changed about writing production software, and what this trail is going to teach you
One realistic feature, end to end, with every prior cairn put to work
When a single model is bluffing or stuck, a second model is the cheapest unblock available
The agent harness most of us reach for first, what we run inside it, and the alternatives that are perfectly fine
The CLI issue tracker that gives an agent a memory that survives the next compaction
Why we built Conduit, and what it gives the team that nothing else did
Onboarding a project, surviving operational failure, and what's deferred until the system grows
The architecture that lets one consumer site read N project repos without coupling either side to the other
A design pack for turning KCCI project folders into a managed, searchable, auditable knowledge system
Why the current OpenClaw design keeps long-term memory private to each lane and shares knowledge through docs instead
How OpenClaw gives Q a real computer without letting public channels rewrite the machine it runs on
A table-based quick reference rebuilt from the Fiber Industry Notion database
What happens when the ground shifts under a running AI agent — and how three days of misdiagnosis led to a five-minute fix
A Development Ledger for the Age of AI Agents
Building a self-improving knowledge system from zero in under 8 hours of actual effort — and what that says about internal tooling in 2026
Why AI Agents Forget Everything and What To Do About It
What Happens When an AI Agent Picks Up the Work Nobody Owns
Why field workflows need a soft-complete state before they earn the right to be done