AI Development69 articles
AI Development
Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.
Articles
AI Development
Your coding agent needs a calorie label for context
A coding agent can look productive while paying, over and over, to send the same files back through the model. Before you optimize that, you have to be able to read it.
9 min read
AI Development
The two-hour AI pull request needs a harness, not a hero reviewer
AI coding agents can generate a convincing pull request in two hours. The operator problem is review legibility: the missing receipt that makes approval safe.
7 min read
AI Development
Give the agent a ticket, not the key
When an AI agent needs Stripe access, the default move hands it the raw key. A better pattern gives it a secret handle, a host allowlist, and a daemon that owns the call. Here is the courier policy that makes that concrete.
9 min read
AI Development
The AI contribution label belongs in the commit, not the meeting notes
You run git log and the last line of the commit reads Co-authored-by: Claude. It shows up in the contributors list like a teammate who just joined. It isn't one. That gap is the whole post.
7 min read
AI Development
AGENTS.md tells AI how to work. AGENTOWNERS tells it where to stop.
A coding agent opens one pull request that fixes a doc typo and edits your auth code in the same branch. The instructions file was polite. The repo still has to decide. That gap is what AGENTOWNERS is trying to close.
7 min read
AI Development
Before an AI agent queries production, build the query leash
Operators are calling direct database access for AI agents a nightmare, and the MCP docs keep adding read-only switches for a reason. The fix is a small boundary you write before the agent gets the connection string.
6 min read
AI Development
The automation cassette is the missing artifact for web agents
A new open-source tool watches you browse and writes the script. The useful part is not the agent. It is the recording: an automation cassette your team can replay, review, and repair.
8 min read
AI Development
CopilotKit vs shadcn/ui: choose the layer before the library
CopilotKit and shadcn/ui solve different frontend jobs. Use this layering map before adding agent UI to your app.
9 min read
AI Development
Rocket Close's Supercharger shows what production agents need before launch
Rocket Close's Supercharger case study is not just a mortgage AI story. It is a practical pattern for launching production agents in messy back-office workflows.
8 min read
AI Development
A connector list is not a rollout plan for a local-first AI assistant
Local-first AI assistants are winning attention with broad connector lists. Before rollout, turn those connectors into a manifest with scope, owners, test cases, and removal rules.
6 min read
AI Development
Your AI Workflow Tests Should Try to Falsify the Promise
Stateful AI workflows fail around queues, retries, locks, ledgers, and approvals. Test the promise before production falsifies it for you.
7 min read
AI Development
The useful part of PostHog's agent PR was the launch checklist
A PostHog production-readiness PR shows the controls teams should prove before agents get write access: isolation, events, approvals, auth, egress, and live tests.
7 min read
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