We placed an engineer into a company last quarter for a cloud infrastructure migration. Eight months of work, clearly scoped, defined deliverable. They had been trying to fill that role as a full-time hire for four months before we spoke.

We placed an engineer last month into an insurance company. Senior backend role, Python and cloud infrastructure, competitive salary, fully remote. The whole process took…

Something happened on most engineering teams over the past year that nobody planned for. The engineers who adopted AI tools earliest, the ones who automated their boilerplate, tripled their PR output, figured out how to use Claude Code or Cursor to ship in half the time, got rewarded with more work.

We screen engineers every week. Over the past year the pattern has become impossible to ignore. Candidates who sound flawless in the first round cannot explain their own answers in the second…

A hiring manager posts a senior frontend role and gets 400 applications in a day. After screening, maybe eight are worth a call…

Sam Altman, of all people, called it out first. “AI washing,” he said in February, is when a company blames AI for a layoff it was going to do anyway. That is a useful term from the one executive in the world with the most to gain by telling you the opposite…

Half of all U.S. tech job postings now mention AI or machine learning skills. That number has nearly doubled in twelve months. If you are hiring in tech right now, you have almost certainly approved a job description with some version of “AI skills required.”

Dedicated AI job titles grew 81% year over year according to CompTIA’s latest workforce report. Everybody wants AI engineers. Everybody is posting for them.

In 2019, new graduates made up about 32% of Big Tech hires. Today that number is closer to 7%. Entry-level tech hiring across the industry has dropped roughly 73% in the past year alone.

The Markup posted a single engineering job listing in late 2025 and received over 400 applications within 12 hours. Repeated phone numbers across different names.

The tech industry has misidentified its biggest hiring problem. Every recruiter is scrambling for “senior engineers who understand AI…

The technical recruitment landscape has hit a structural inflection point. For decades, the industry optimized for the “Syntax Specialist”—engineers whose primary value was their fluency in…

The technology industry is facing a quiet productivity paradox. High adoption teams are merging nearly double the amount of pull requests, yet total engineering velocity is stalling.

We are building Autonomous Agents—systems that figure out the “How” on their own. You cannot write a User Story for an agent that dynamically plans its own execution path.

The engineering hiring funnel has collapsed into a “Bot-on-Bot” conflict. Candidates are deploying “Job-Hunt Agents” to autonomously bypass ATS filters and solve technical assessments in real-time…