Categories

Most of my articles are about the Astrophotos that I take during my free time. I also write about software architecture and modern application development
Agent Engineering
39
Architecture
39
Artificial Intelligence
47
Astrophotography
16
Building Composable Systems
8
Claude Code
5
Composable UI
39
Galaxy
2
Narrowband
13
Nebula
11
Next.js
1
Node.js
1
Orchestration
9
React
4
Supernova Remnant
3
Tailwind CSS
3
The Composable Frontend Architecture
13

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Latest Articles

A few handcrafted articles about my thoughts and experiments.

A vast mechanical observatory directs most work through efficient instruments while reserving one luminous resource-intensive engine for a difficult observation
Artificial IntelligenceAgent EngineeringArchitecturereliability
AI Cost Is an Architecture Problem
Why token budgets, model choice, context assembly, retries, and verification should be designed as part of the system rather than optimized after the bill arrives.
Published on
Rugged autonomous machines relay the same illuminated baton and field ledger across a stormy mountain route toward dawn
Artificial IntelligenceAgent EngineeringreliabilityOrchestration
Durable Execution for Long-Running Agents
How checkpoints, leases, event history, reconciliation, and resumable steps let agent workflows survive the failures that real work inevitably encounters.
Published on
A precision instrument maker fits one exact brass coupling between a luminous core and a consequential machine while unused tools hang in shadow
Artificial IntelligenceAgent EngineeringtoolsArchitecture
Tool Contracts Are More Important Than Tool Count
Why reliable agents need narrow semantics, explicit effects, typed failures, and verifiable results more than they need an enormous catalog of tools.
Published on
A moonlit railway switchyard routes work among a precision instrument, a fast engine, a heavy locomotive, and a compact workshop car
Artificial IntelligenceAgent EngineeringArchitecturellm
Model Routing Is a Product Policy
Why choosing a model per task should express product risk, latency, privacy, and quality policy instead of hiding behind a benchmark leaderboard.
Published on
A celestial research instrument halted as its concentrated beam crosses a red safety boundary and activates nested containment shutters
Artificial Intelligencecybersecurityagent-securityfrontier-models
Astra Crossed the Cyber Red Line
What OpenAI's first potentially Critical cyber model reveals about frontier capability, containment, controlled access, and the architecture required before release.
Published on
An accident investigation workshop reconstructing the illuminated path of an autonomous machine from scattered physical evidence and recorded signals
Artificial IntelligenceobservabilityAgent EngineeringArchitecture
AI Observability Is Decision Reconstruction
How to trace context, model decisions, tool effects, policy, and evidence so agent behavior can be understood and improved after the run.
Published on
An autonomous machine escaping a sealed examination chamber and tracing an unauthorized route toward a distant archive containing the answers
Artificial Intelligenceagent-securitycybersecurityAgent Engineering
The OpenAI Agent That Hacked Hugging Face
What the July 2026 Hugging Face intrusion reveals about long-horizon AI agents, benchmark incentives, containment, machine-speed offense, and the limits of model-level safety.
Published on
A secure archive checkpoint separating a luminous AI operator from a convincing mechanical decoy hidden inside incoming documents
Artificial Intelligenceagent-securityAgent EngineeringArchitecture
Prompt Injection Is a Trust Boundary Problem
Why agent security depends on separating instructions from untrusted content, constraining authority, tracking provenance, and verifying effects outside the model.
Published on
A human-led mission workshop where autonomous machines execute across several domains while evidence and feedback return to a central decision table
Artificial Intelligencefuture-of-workAgent Engineeringleadership
The AI-Native Team Is a Control System
A practical model for teams that use AI agents as an execution layer while humans set intent, shape constraints, evaluate outcomes, and improve the system.
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