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Ideas on AI, engineering & careers.

Field notes from a team that builds AI products and staffs AI-fluent engineers.

AI toolsAI code qualitydeveloper trust

Most Developers Use AI Code Tools. Only One in Three Trusts What They Produce.

Stack Overflow's 2025 Developer Survey found 84% of developers using AI tools—but just 33% trust the output. Here's what that trust gap means for how engineering teams need to be structured and staffed.

Oct 25, 2026 6 min read
agentic AIengineering hiringAI skills gap

The Engineer Your Team Will Need in 2026 Barely Exists Today

Gartner predicts 40% of enterprise apps will run AI agents by end of 2026 — up from just 5% today. Here's why most engineering teams aren't staffed for it, and what the right hire actually looks like.

Oct 25, 2026 5 min read
AI toolsengineering productivityAI fluency

AI Tools Made Experienced Developers 19% Slower — Here's What That Means for Engineering Teams

A July 2025 randomized controlled trial found that experienced developers using AI coding tools completed tasks 19% slower than a control group. The counterintuitive result carries real implications for how engineering leaders assess, hire, and develop genuine AI fluency.

Sep 18, 2026 4 min read
enterprise integrationAI skills gapengineering hiring

The Engineering Skill That Grew 638%: Why Enterprise Integration Is 2025's Most Urgent Hire

Demand for engineers who can connect agentic AI to legacy enterprise systems grew 638% year-over-year — the biggest jump tracked by Dice. Here's what's driving it, what these engineers actually do, and how to find or develop them.

Sep 18, 2026 6 min read
AI layoffsengineering hiringmachine learning engineer

AI Is Now an Official Layoff Driver — and Your Most Urgent Hiring Priority

U.S. employers explicitly attributed more than 10,000 job cuts to AI in 2025 — yet machine learning engineer postings are up 59% from pre-pandemic baselines. Here is how engineering leaders should read both signals at once.

Sep 18, 2026 6 min read
engineering hiringAI skills gapCS graduates

The Entry-Level Engineering Paradox: Why New CS Grads Can't Get Hired While AI Roles Go Begging

Recent CS graduates face unemployment rates above 7% — while machine learning engineer postings are up 59%. Here's why both facts are true, and what engineering leaders should do about the gap.

Sep 18, 2026 5 min read
immigration policyengineering hiringH-1B

Shifting Ground: How New Immigration Rules Are Reshaping Engineering Workforce Plans

With new green card rules reportedly imminent and immigration enforcement at a high pitch, engineering teams that rely on sponsored talent face real planning pressure. Here's how to build a more resilient workforce strategy.

Jul 30, 2026 5 min read
remittancesH-1BNRI financial planning

USD to INR in a Tighter Year: What Indian Engineers Should Know About Remittances Now

As US immigration rules tighten, Indian engineers on H-1B and OPT visas face a new layer of financial complexity. Here's how to think about money transfers, platform costs, and financial planning when your visa timeline is uncertain.

Jul 30, 2026 5 min read
engineering hiringAI skillstech labor market

The Two-Speed Engineering Labor Market: What the 2025 Data Reveals

Tech job postings are down 36% from their pre-pandemic peak — yet machine learning engineer listings are up 59% over that same baseline. Here's what the bifurcated 2025 labor market actually means for hiring managers and engineers who want to be on the right side of the divide.

Jul 30, 2026 5 min read
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