NeoSage
Shivani VirdiNeoSage is a technical deep-dive newsletter for engineers, solopreneurs, and AI builders who want to build in-depth intuition on all things AI. This is where you’ll owl-ways get the insights to ride the AI wave skillfully.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 15 | Founded | a year ago | Last Issue | a month ago |
| Active | |||||
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blog.neosage.ioLatest Issues
The Engineer's Guide to Securing AI Agents
Everyone is racing to give their agents more power.
More tools. Access to real systems. Longer runs, where the agent takes a goal and carries it out without a human signing off on each step.
That power is the whole point. It's what makes...
Your agent re-reads the same context every step, at 10x the price
You can wire up the best model on the market and still ship an agent that's slow and quietly expensive. Past a certain point, the thing that decides which way it goes isn't the model at all, it's how you handle the context it carries, the p...
The AI Application Layer: Where Context Engineering Actually Fits
There is one word doing a lot of work this year: context engineering. It replaced last year’s favourite, prompt engineering, and somewhere in the swap, a lot of people started using both for the same blurry thing, getting the model to do wh...
The Prompt Lifecycle Every AI Engineer Should Know
Many people think “prompt engineering” means finding clever ways to talk to ChatGPT. And sure, if you’re turning your vacation photos into Ghibli art, that’s fine.
But when you’re building production systems that talk to LLMs through APIs?...
The AI Engineer's Roadmap for 2026
If you’re an experienced software engineer looking at the AI landscape today, you’re probably feeling overwhelmed. It’s chaos. Every day brings a new model, a new framework, a dozen new tools, and a thousand conflicting opinions on social m...
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Authors
The writers behind this newsletter.
Engineering at Microsoft | Simplifying AI for Everyone | Empowering Productivity with Proven Frameworks and Processes
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