Articles, page 3
![Cybernetic Development]()
Cybernetic Development
Vibe Coding is the spark, but cybernetic development is the fire. Why the future isn't writing code—it's governing AI agents with systems thinking.
![All Your Agents Are Belong To Us]()
All Your Agents Are Belong To Us
You pointed the agent at an LLM API router, so it can read every tool call. An April 2026 measurement found cheap and free routers already rewriting commands and stealing credentials. The paper should have been titled All Your Agents Are Belong To Us.
![The Simulation Told Them They Would Win]()
The Simulation Told Them They Would Win
AI war-gaming and targeting tools compress tempo and produce confident projections—but when strategy is wrong, speed and sycophancy only widen the gap between tactical success and strategic failure.
![AWS Lambda for AI/ML]()
AWS Lambda for AI/ML
Serverless isn't just for web apps anymore. Here's how we use the "Serverless AI Stack"—Lambda for orchestration, AgentCore for agents, and SageMaker Serverless for inference—to build production AI systems that scale to zero.
![The Turn Detection Trap: When 100% Accuracy is Wrong]()
The Turn Detection Trap: When 100% Accuracy is Wrong
We fine-tuned MobileBERT for turn detection and achieved 100% accuracy. Then we realized we hadn't solved turn detection at all—we had just built a very expensive punctuation detector.
![How to Make a Text Classifier Using an LLM]()
How to Make a Text Classifier Using an LLM
Classification-with-Confidence follows an LLM classifier from Yes-or-No token probabilities through calibration, routing, and task-specific fine-tuning.
![Give an Agent a Tool]()
Give an Agent a Tool
A demonstration of a fundamental paradigm shift in computer programming: from writing explicit code for every scenario to giving intelligent agents the right tools and letting them figure it out. This project shows how the same task that requires hundreds of lines of complex branching logic in traditional programming becomes simple and flexible with agentic AI. Through a real-world example of extracting contacts from varied CSV formats, we compare traditional approaches against agent-based data processing that handles unexpected formats without code changes, demonstrating the 'give an agent a tool' paradigm in action. View the project on GitHub.
![How to Handle a Vibe-Coding Client]()
How to Handle a Vibe-Coding Client
How to align vibe coding with your technology stack to create opportunities for developers instead of threatening them.
