How 10x Developers Actually Use AI
– youtu.be - submitted by Nuno Maduro
Read more [youtu.be]
– youtu.be - submitted by Nuno Maduro
Read more [youtu.be]
Ryan Chandler shares his honest journey from unease to acceptance with AI coding tools. A thoughtful reflection on how your value as a software engineer is not in writing every line, but knowing which lines should exist at all.
Read more [ryangjchandler.co.uk]
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A good reminder that trust matters more than ever when every week brings another AI-made product. The post argues that real faces, founder stories, and a visible reputation help both people and LLMs trust what you build.
Read more [marketingfordevelopers.com]
A thorough explainer on how quantization makes LLMs 4x smaller and 2x faster while losing only 5-10% accuracy. Covers floating point precision, compression techniques, and how to measure quality loss, with interactive examples throughout.
Read more [ngrok.com]
Steve Schoger shows how he uses Claude Code to design and build UIs, turning natural language prompts into polished interfaces.
– wendelladriel.com - submitted by Wendell Adriel
My thoughts on why Agentic Engineering is a better path than Vibe Coding, and the workflow I use to turn AI agents into a structured engineering process.
Read more [wendelladriel.com]
Martin Fowler explores why AI coding sessions degrade over time and how externalizing decisions into structured documents keeps context reliable across sessions.
Read more [martinfowler.com]
The Laravel blog walks through how to implement the five multi-agent patterns from Anthropic's "Building Effective Agents" research using the Laravel AI SDK. Prompt chaining, parallelization, routing, orchestrator-workers, and evaluator-optimizer loops, all built with just the agent() helper.
Read more [laravel.com]
Vercel shares their internal framework for shipping agent-generated code safely. The core argument: green CI is no longer proof of safety, because agents produce code that looks flawless while remaining blind to production realities. The post outlines how to build systems where agents can act with high autonomy because deployment is safe by default.
Read more [vercel.com]
A thoughtful collection of principles for working with coding agents, inspired by the Zen of Python. Covers how cheap code changes prioritization, why refactoring and repaying tech debt got easier, and why your role shifts from typing code to framing problems.
Read more [nonstructured.com]
A thorough walkthrough of building a RAG system in Laravel using the new AI SDK, Postgres for vector storage, and Livewire 4 for a streaming chat UI. Covers everything from what RAG is and how semantic search works to embedding documents and querying them.
Read more [tighten.com]
Daniel Coulbourne walks through building an MCP server with the official laravel/mcp package. He built one for his blog in about 20 minutes, then used it to write and publish the post you're reading.
Read more [thunk.dev]
Christoph Rumpel reflects on how AI tools are changing the way developers work. The core message: take the shortcuts that cut out mechanical work, but don't outsource the parts that make your work yours.
Read more [christoph-rumpel.com]
– grith.ai
A deep dive into "Clinejection", where an attacker injected a prompt into a GitHub issue title, which an AI triage bot interpreted as an instruction. The resulting chain led to cache poisoning, credential theft, and a compromised npm package that silently installed a second AI agent on 4,000 developer machines.
Read more [grith.ai]
A walkthrough of building a useful Claude Code status line that shows your current repo, git branch, staged/unstaged changes, and context window usage percentage. The context percentage is the most valuable part: it helps you know when to compact or start a fresh session before quality degrades.
Read more [www.aihero.dev]
Larry Garfield argues that the AI coding conversation focuses too much on individual productivity and ignores the broader societal costs.
Read more [www.garfieldtech.com]
– hbr.org
A Berkeley Haas study of 200 employees found that AI makes workers take on more, not less. The productivity gains are real, but exhausting.
Read more [hbr.org]
I've been using Claude Code as my daily driver for coding tasks. Over time, I've built up a pretty specific configuration that makes the whole experience better. I keep everything in my dotfiles repo under config/claude/, so it's easy to sync across machines. In this post I'll walk through my setup.…
We recently released the Flare CLI, a command-line tool to manage your errors and performance data. It also ships with an agent skill that lets AI coding agents use Flare on your behalf.
The CLI has dozens of commands and hundreds of options, yet we only wrote four commands by hand. Our laravel-openapi-cli package made this possible: point it at an OpenAPI spec, and it generates fully typed artisan commands for every endpoint automatically.
Here's how we put it all together.

The Flare CLI lets you manage errors and performance monitoring from the terminal. It was built with almost no hand-written code, generated from our OpenAPI spec. Having a CLI is useful on its own, but where it gets really interesting is when you let an AI coding agent use it.
The Flare CLI ships with an agent skill that teaches AI agents like Claude Code, Cursor, and Codex how to interact with Flare on your behalf. Let me show you how it works.