Articles Tagged: ai
Technical writings, opinionated architectures, and development guides tagged with ai.
Building a home-education platform with Laravel 13, Inertia and React, and shipping it to Laravel Cloud
A Laravel 13, Inertia and React platform for home educating my son: an append-only learning record, a planner, AI kept on a short lead, and what Laravel Cloud asked of the code.
Building Research
A desktop research workspace in Laravel and NativePHP. Streaming SSE into a queued job, distilling reports with a local model, and why cosine similarity cannot tell a paraphrase from a contradiction.
Controlling Code Quality When an Agent Writes Your Laravel
Specs, ADRs and path-scoped rules. The three layers of context I build around an agent so it writes Laravel the way my codebase does, not the way every tutorial does.
MCP Goes Stateless: What Changed and Why It Matters
The Streamable HTTP transport replaced HTTP+SSE and quietly made MCP servers stateless. Here is what that means, how the new transport works, and why it unlocks serverless and edge deployments.
Give your Laravel AI agent real-time web knowledge
The Laravel AI SDK is provider-agnostic, but its built-in web tools aren't. Here's how to give your agent real-time web knowledge without losing that independence.
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.