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From Code Generator to Production System: Why AI Agents Require Rigorous Engineering, Observability, and State Management

Originally published on tamiz.pro . The initial euphoria surrounding Large Language Models (LLMs) was largely driven by their ability to generate code…

aimachinelearningcode
Dev.to Aug 1, 2026, 12:05 UTC
EN

Why Your AI Agents Need Finite State Machines: Building Deterministic Workflows in a Vibe-Coding World

Originally published on tamiz.pro . The rise of "vibe coding" has democratized software development, allowing developers to build complex applications…

aimachinelearningagents
Dev.to Jul 30, 2026, 12:01 UTC
EN

Building a Secure Local AI Agent on Open-Source Infrastructure: Lessons from SGLang, Olares, and Real-World Audits

Originally published on tamiz.pro . The promise of Local AI is data sovereignty. By running Large Language Models (LLMs) entirely on-premise, organiza…

aimachinelearningsecure
Dev.to Jul 29, 2026, 06:00 UTC
EN

From Black Box to Audit Trail: Why 'Unlimited Context' is Technical Debt and How to Secure Your AI Agents

Originally published on tamiz.pro . The prevailing architectural pattern for modern AI agents—feeding the entire conversation history and all availabl…

aimachinelearningblack
Dev.to Jul 28, 2026, 18:01 UTC
EN

From Rust Fuzzing to AI Agents: Building Secure, Memory-Aware Software in the Age of Autonomous Development

Originally published on tamiz.pro . The landscape of software development is undergoing a tectonic shift. For decades, memory safety and security have…

aimachinelearningrust
Dev.to Jul 28, 2026, 00:01 UTC
EN

Optimizing LLM Context Windows: Implementing Lossless Compression Strategies for RAG Agents

Originally published on tamiz.pro . The context window is the single most expensive bottleneck in modern Retrieval-Augmented Generation (RAG) architec…

aimachinelearningoptimizing
Dev.to Jul 28, 2026, 00:00 UTC

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