
While AI dominates the layoff narrative, engineers are actually making up a larger share of new hires, according to SignalFire data.
AI was widely expected to eliminate engineering jobs given the rapid adoption of AI-powered coding tools, but new hiring data suggests the opposite is happening. Research from a venture firm analyzing millions of employees found that engineering was the most resilient job function in 2025, with engineering roles declining only 11% compared to a 25% drop in overall hiring at large tech companies. Engineers made up 55% of new hires at major tech companies in 2025, up from 46% in 2019, and early-stage startups hired 7% more engineers in 2025 than in 2019. This pattern aligns with the Jevons paradox, where increased efficiency from AI tools expands the scope of work rather than reducing demand for workers, with engineering leaders noting that AI has made engineers more productive and created endless work for them to do.

Google’s Search history update stores media uploads from your interactions, like images used in reverse image searches, for training its AI models.

In this tutorial, we build OpenHarness from scratch to better understand how a practical agent harness works. We recreate the major building blocks that make an agent system useful, including tool use, typed tool schemas, permissions, lifecycle hooks, memory, skills, context compaction, retry logic, cost tracking, and multi-agent coordination. Instead of treating an agent framework as a black box, we expose the full control flow and watch how the harness receives a user task, lets the model dec

The tokenmaxxing era was brief. We now appear to be entering the era of token rationing.
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