The Foreman Problem: Managing Teams When Your Best Worker Isn't Human - Willian Correa

Every major technology shift invented a new management role. Steam power → foreman. Office computing → project manager. Internet → product manager. AI is doing the same, but this time the failure mode is invisible: confident, polished, wrong output. The new job is not directing effort but verifying that things that look like they're running actually are.

Who Will Be the Senior Engineers of 2035? - James Stanier

The traditional junior-to-senior pipeline is breaking: entry-level tech postings down 67% since 2022, junior employment down ~20%. Firms adopting AI saw junior employment fall 7.7% vs non-adopters. 54% of engineering leaders plan to hire fewer juniors.

Compound Engineering & Code Health

The Compounding Software Factory - Luca Rossi (Software Factory series, Part 3 of 3)

What causes teams to degrade: poor coding hygiene (bad testing, poor code health, missing abstractions), failure to capture knowledge (no ADRs, no playbooks, no snapshots), and building the wrong things.

AI Coding Meets Code Health - Stuart Caborn

Loveholidays' journey to becoming an AI-first engineering organization. Core thesis: code health is the foundation for successful AI adoption. By deliberately investing in code health metrics before adopting AI, they achieved 80+ deployments/month, 60% AI-written code, <1% change failure rate, all while maintaining elite code health.

Security & Infrastructure

The (In)security Landscape of AI-Powered GitHub Actions - Shay Berkovich

AI-powered GitHub Actions from vendors like OpenAI, Anthropic, and Google are now running in thousands of public workflows. Research found bypasses of non-default configurations letting any external attacker trigger AI execution, a novel secret exfiltration vector for dynamically-created credential files, and widespread misconfigurations in production workflows.

The Invisible Engineering Behind Lambda's Network - Werner Vogels

A decade-long story of invisible infrastructure engineering by Lambda's networking team.

Career & Token Economics

Tokenmaxxing Is the Budget Game Played With AI Tokens - Willian Correa

Tokenmaxxing — maximising AI token consumption for visibility — is the corporate "use it or lose it" budget game in a new currency. Meta's internal "Claudeonomics" leaderboard ranked 85K employees by token consumption; top user burned 281B tokens in 30 days.

Tools

Use Compose Watch

Docker bind volumes gets a supercharge. Compose Watch does not replace bind mounts but exists as a companion specifically suited to developing in containers.

More importantly, watch allows for greater granularity than is practical with a bind mount. Watch rules let you ignore specific files or entire directories within the watched tree.
For example, in a Node.js project, it's not recommended to sync the node_modules/ directory. Even though JavaScript is interpreted, npm packages can contain native code that is not portable across platforms.

We ran a series of experiments to explore how far Generative AI can currently be pushed toward autonomously developing high-quality, up-to-date software without human intervention. As a test case, we created an agentic workflow to build a simple Spring Boot application end to end. We found that the workflow could ultimately generate these simple applications, but still observed significant issues in the results—especially as we increased the complexity. The model would generate features we hadn't asked for, make shifting assumptions around gaps in the requirements, and declare success even when tests were failing. We concluded that while many of our strategies — such as reusable prompts or a reference application — are valuable for enhancing AI-assisted workflows, a human in the loop to supervise generation remains essential.

Announcing the Official PHP SDK for MCP

The PHP Foundation, Anthropic’s MCP team, and Symfony are collaborating on the official PHP SDK for the Model Context Protocol (MCP). Our goal is a framework-agnostic, production-ready reference implementation the PHP ecosystem can rely on.

Covariance and Contravariance in PHP

Before we dive into the details and code examples, let me quickly define covariance and contravariance:

Covariance: Making something more specific
Contravariance: Making something less specific

Now let's dive in and see how these concepts apply to PHP.

Break Stuff on Purpose

Strengthen your system’s ability to recover by intentionally causing and resolving failures

Nothing Beats Kindness