Tagged: AI
7 articles tagged with "AI"
Designing agentic iOS features with clear user control
A practical model for agentic app features: explicit user intent, bounded tools, visible progress, confirmation points, and recoverable actions.
Keeping a personal codebase clean when AI makes code cheap
AI makes it easy to generate more code than a personal project can absorb. The fix is boring: smaller diffs, hard deletion, strict boundaries, and refusing to let experiments become architecture.
A practical setup for AI-assisted Apple-platform development
The day-to-day wiring that makes coding agents useful on iOS, macOS, and the rest of the Apple stack: repo rules, MCP layer, local tools, sessions, and the boring checks that keep the build green.
Using MCP and coding agents without losing control
MCP can make coding agents much more useful, but only if teams treat tools as controlled capabilities instead of handing the model every sharp object in the repo.
Prompting coding agents for iOS work: tighter briefs, smaller diffs, better results
How to use coding agents for iOS development without drowning in technical debt. Focus on contextual briefs, bite-sized tasks, and a strict review loop.
Reviewing AI-generated iOS code without lowering the bar
AI-generated iOS code should be reviewed with the same standards as human code: product behavior, lifecycle edges, concurrency ownership, tests, architecture, and production diagnosis. Faster typing is not a quality model.
AGENTS.md for iOS: guardrails that stop AI from breaking your app
Treat AI as a powerful, unreliable teammate. An AGENTS.md file gives it constraints, workflows, and verification steps that keep your iOS codebase stable and your PRs reviewable.