AI Development62 articles
AI Development
Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.
Articles
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
AI Development
AI code review bots need lanes before they need more tools
A public GitHub pull request shows what happens when AI reviewers, autofix tools, CI companions, and a human maintainer all use the same comment thread. The fix is not fewer tools. It is clearer lanes.
7 min read
AI Development
JetBrains Mellum2 shows where agent costs are really going
JetBrains' Mellum2 release is a useful signal for teams building AI workflows: stop treating model choice as one default setting and start routing each step to the smallest model that can pass its receipt.
6 min read
AI Development
Before agents touch your brand assets, fix the approval layer
AI brand asset management needs more than shared folders. Before agents search, remix, or publish creative assets, teams need approval status, rights, provenance, owners, and workflow receipts.
7 min read
AI Development
System prompts are not an agent control plane
AI agents need enforcement points before risky tool calls run. System prompts can guide behavior, but refunds, emails, account deletion, and customer work need runtime policy, approvals, logs, and receipts.
8 min read
AI Development
The fast-food chatbot problem is a guardrail problem
Viral fast-food chatbot screenshots are funny because the failure is ordinary: the bot is supposed to help with lunch, but the model underneath still wants to be a general assistant.
7 min read
AI Development
Copilot cohorts make AI adoption a management problem, not a seat-count problem
GitHub's new Copilot cohort metrics give leaders a better way to ask whether AI is changing delivery work, not just whether licenses are enabled.
8 min read
AI Development
Agent receipts: what to log before AI touches customer work
Before an AI agent sends a message, updates a record, publishes a page, or changes a CRM note, the team needs a receipt that shows what happened, why, who reviewed it, and how to roll it back.
7 min read
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Product notes, service updates, and BaristaLabs news that affect how small teams use AI at work.
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AI market news translated into workflow decisions, risk boundaries, and practical next steps for small businesses.
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