AI Engineering Articles

Articles and tutorials on AI engineering, covering machine learning, deep learning, model development, deployment pipelines, optimization, LLM usage, prompt engineering, and applied AI development patterns.

Multi-Agent Architecture Diagram - Google Antigravity vs Cursor
AI EngineeringDeveloper ToolsMulti-Agent SystemsSoftware DevelopmentDeveloper ProductivityGoogle AntigravityCursor IDE
Google Antigravity vs Cursor: The Multi-Agent Future of Software Development
A deep technical analysis by JMS Technologies into Google Antigravity vs Cursor—how multi-agent architectures, parallel planning, and deep reasoning redefine modern software development.
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Python vs Rust System Design Diagram
AI EngineeringMachine LearningBackend DevelopmentProgramming LanguagesSoftware ArchitectureRustPython
Python vs Rust: Which One Should You Learn to Grow in AI and Software Development?
A deep dive by JMS Technologies into Python vs Rust—how each language shapes careers in AI, high-performance backend engineering, and modern distributed systems in 2025.
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X Timeline Architecture Fan-Out and Ranking Diagram
System DesignDistributed SystemsScalabilityMachine LearningX / Twitter Architecture
How X/Twitter’s Timeline Architecture Works at Planetary Scale
A deep dive by JMS Technologies into X's (formerly Twitter) system design—analyzing fan-out on write, hybrid architecture, the 'For You' ranking algorithm, and how to scale distributed systems for millions of concurrent users.
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How LLMs Like ChatGPT Work Architecture Diagram
Artificial IntelligenceLarge Language ModelsMachine LearningSoftware EngineeringTransformers
How LLMs Like ChatGPT Work: A Deep Technical Breakdown for Modern Engineering Teams
A deep technical breakdown by JMS Technologies Inc. explaining how LLMs work—covering Transformer architecture, self-attention, pre-training, RLHF, and infrastructure requirements for engineering leaders.
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AI writes 90% of the code
AISoftware engineeringQA/Quality
AI writes 90% of the code. So why are AI companies hiring more than ever?
It’s said that at leading companies like OpenAI or Anthropic, AI already generates up to 90% of the code. At first glance, one might think, “This is the end for software engineers.” Yet, if you check their job boards, the reality is the opposite. They’re hiring faster than ever.
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