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Astrohive Intelligence

The problems no one wants to talk about.

Deep dives into the engineering decisions behind enterprise AI adoption. Written for CTOs evaluating AI agents for production.

Context & Memory10 min read

How Do AI Agents Maintain Context Across Complex Enterprise Workflows?

AI agents lose effectiveness when they can't remember what happened yesterday. The solution is a three-tier memory architecture: focused context, retrieval layer, and auditable archive.

Context & Memory9 min read

Why AI Coding Tools Break on Real Codebases

Your codebase has 2 million lines. The AI can see 750,000 words at once. Why does it still write code that ignores your architecture?

How Should AI Agents Inherit Your Existing Enterprise Security?
The right answer is not building a parallel security model. It's inheriting the one you already have and mirroring your permissions end-to-end.
11 min
How Can AI Systems Learn Across Clients Without Leaking Their Data?
Three data layers with hard boundaries. Client data stays ring-fenced. Platform intelligence improves without exposing anyone's specifics.
10 min
How Do You Actually Know If Your AI Agents Are Doing a Good Job?
Most teams ship AI without knowing if it works. Quality gates that catch mistakes before production, with pre-committed decision criteria.
10 min
Why Does AI-Generated Code Ship Faster But Break More Often?
Speed without quality is just faster failure. How to maintain enterprise-grade standards when AI is writing most of your code.
9 min
Why Does AI-Generated Code Ignore Your Architecture?
AI doesn't read your team's conventions. It generates plausible code that violates every pattern you've established. Here's how to fix that.
9 min
How Do You Make Enterprise AI Cost-Effective at Scale?
The 1,250x cost difference between smart retrieval and brute-force context. Token economics that make enterprise AI actually sustainable.
9 min
Your AI Agents Are Wasting 90% of Every API Call
A three-layer prompt architecture that cuts costs 90% through strategic caching. The economics of AI at enterprise scale.
4 min
When Should You Use Multiple AI Agents Instead of One?
One agent doing everything sounds simpler. It's not. How multi-agent orchestration produces better results than a single generalist.
10 min
How Do You Monitor AI Agents You Can't See Inside?
You can't debug what you can't observe. Agent observability for systems where the reasoning is opaque and the stakes are high.
10 min
Why Do Most Enterprise AI Projects Die Between Pilot and Production?
The pilot worked. Leadership approved. Six months later, it's still not in production. The gap between demo and deployment, and how to close it.
10 min
For Leaders

AI concepts for the rest of the C-suite.

Plain-language explanations of the technology reshaping your industry. No jargon prerequisites.

What Are AI Agents, Really?
The 5-Minute Guide to RAG
Why Context Windows Matter More Than Model Size
Launching soon. Subscribe to get notified.
Daily Read

One concept. Two minutes. Every morning.

A daily AI concept, explained simply enough to share with your team.

APR 15
What is a vector embedding?
APR 14
Fine-tuning vs RAG: when to use which
APR 13
Why temperature matters
Launching soon. Subscribe to get notified.
Resources

What we're reading.

Curated papers, tools, and talks. The signal from the noise.

Attention Is All You Need - arxiv.org
The Bitter Lesson - incompleteideas.net
Anthropic Claude Research - anthropic.com
State of AI Report 2026 - stateof.ai
Launching soon. Subscribe to get notified.
News

What happened this week in AI.

Not aggregation. Our take on what actually matters.

THIS WEEK
Claude 4.6 changes the economics of enterprise agents
THIS WEEK
OpenAI launches Codex: what it means for coding agents
LAST WEEK
Google's Gemini 3 and the context window race
Launching soon. Subscribe to get notified.
Events

Where to find us.

Conferences, meetups, and the conversations worth having.

MAY
15
Stockholm AI Conference 2026
Stockholm, Sweden
JUN
8
Enterprise AI Summit
London, UK
Launching soon. Subscribe to get notified.
Podcasts

Conversations with the people building this.

CTO interviews, architecture deep dives, and the decisions that don't make it to the blog.

EP 1
Why We Built Astrohive
with Daniel Novitzkas · 42 min
EP 2
The FDE Model
with TBD · 38 min
Launching soon. Subscribe to get notified.
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