A publisher covering cloud native, DevOps, open source, and AI-native software engineering news and analysis for developers, platform engineers, and engineering leaders.
Why I recommend it: One of the few tech news sources I trust to go deeper than the press release. If you are trying to understand what is actually happening in AI-native engineering, start here.
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Reports on September 2026 tech unemployment, job postings and AI-skills demand using CompTIA’s analysis of BLS data and PwC’s workforce survey. Explains the coexistence of job losses and hiring demand; job postings are not completed hires.
A KDnuggets article by Shittu Olumide describing seven open models under 10 billion parameters, each built for one task such as transcription, OCR, routing or speech, and comparing them with much larger general-purpose models. Performance claims come from the models' publishers and cited benchmarks.
An open GitHub repository from Jane Street with agent skills for AI coding assistants, including a Socratic tutor skill, published with a license and contribution guide.
CNBC Make It examines New York City's technology employment and its appeal to workers, reporting that the city now has more tech workers than San Francisco. The November 9 feature provides regional labor-market context rather than a list of currently open jobs.
Ace is an experimental local collaboration tool for building software with AI agents and teammates on Macs connected through Tailscale. The documentation describes channels, team-hosted infrastructure, bring-your-own model keys and the security implications of agents running with the host user's privileges.
Why I recommend it: MIT-licensed software. Setup requires Tailscale and an Anthropic or OpenAI API key; model-provider and optional hosting costs may apply.
Atlassian's webinar discusses its 2026 developer-experience report, AI adoption and organizational strategy. Free registration offers November 9–10 sessions, with a recording sent to registrants who cannot attend.
