#ai
10 articles with this tag
- Managing Expectations in the AI Era How to have honest conversations with stakeholders about AI productivity — what actually changes, what doesn't, and how to set realistic expectations.
- Running A Better Table How to run a Shape Up betting table — the planning meeting where pitches get selected and cycles begin or quietly collapse.
- Redefining Engineering Roles in the AI Era AI makes implementation cheaper and judgment more valuable. Learn how engineering roles, hiring, and team design are changing.
- Reviewing AI Generated Work How to review AI-generated code effectively, what failure modes to watch for, and how to maintain quality standards as code volume increases.
- Spec Driven Development With LLMs How to write specifications that produce useful LLM output, covering interface definitions, edge cases, and why the spec is your highest-leverage artifact.
- Shape Up: A Practical Introduction A practical introduction to Shape Up - the planning methodology built on appetite over estimation, fixed time with flexible scope, and small autonomous teams.
- Writing Pitches That Work How to write Shape Up pitches that give engineering teams real clarity - problem definition, appetite, solution shaping, rabbit holes, and no-gos explained.
- Why Sprints Are Broken Technical debt is inevitable. What matters is whether you manage it deliberately. A practical framework for prioritisation and stakeholder communication
- Building AI Powered Applications in Laravel This guide walks through prompt organization, structured outputs, and AI-discoverable capabilities using Prism and Laravel MCP.
- Building your first MCP server with Laravel Learn how to build a Laravel MCP server for task management with tools, resources, prompts, Sanctum auth, Pest testing, and Claude integration.