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- Latest
- 2026-10-22
- Based on
- 12 recent issues
- Covers: Technical AI developments, agentic engineering workflows, compute infrastructure, model releases, and enterprise software lifecycles.
- For: AI engineers, software developers, technical founders, and infrastructure architects.
- Best for: Engineers and technical leaders building AI agents and infrastructure.
- Skip if: Non-technical professionals seeking basic AI introductions or general business productivity tips.
Start with
- Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO: Explains serverless AI infrastructure architecture and scaling compute for modern workloads.
- Claude Mods: Flipping the Harness Inside Out: Demonstrates how to customize and adapt Claude Code for specific engineering workflows.
- AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess: Covers building an AI-native software development lifecycle and developer compensation models.
Sponsors seen
- SerpAPISponsor
Proudly brought to you by SerpAPI: Today’s release covers a LOT of ground, but you can scrape all this into markdown for your agents
[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback · 2026-10-21 - shop.devSponsor
Sponsor: Build shopping into your agent with shop.dev Adding commerce to an agent usually means rebuilding search and checkout from scratch.
Crossing the Threshold: How OpenAI and Anthropic Approach Autonomy and Safety in Financial Agents · 2026-10-14