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AI Management & Organizational Restructuring

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.