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Context Engineering & The Neuro-Symbolic Leap

Architectural intelligence for native AI systems.

News, analysis and insights on Context Engineering, Neuro-Symbolic AI, MCP and the AI-Native development ecosystem.

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MCP

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Context Engineering Neuro Symbolic Systems Model Context Protocol Models IDEs and Tools Systems and Frameworks

01 / Archive

Latest Insight

context engineeringMarch 21, 2026 14m

Context engineering as an architectural discipline

The competitive advantage of reliable cognitive systems begins in context architecture rather than model spectacle.

02 / Journal

Editorial Grid

context engineering

Context engineering as an architectural discipline

The competitive advantage of reliable cognitive systems begins in context architecture rather than model spectacle.

March 21, 2026 14m

Neuro symbolic systems as a reliability regime

The neuro symbolic synthesis matters because it makes quality observable, justifiable and operationally reliable.

March 20, 2026 13m

MCPs as the control plane of cognitive systems

MCP is not an integration detail. It is the control plane through which identity, capability and permission are negotiated in distributed cognitive systems.

March 19, 2026 16m

context engineering

KV cache, attention and the long context engineering problem

Long context engineering requires understanding KV cache, FlashAttention, Lost in the Middle and prefix caching — expanding the window is not enough.

March 18, 2026 18m

03 / Topics

Category Strip

Deep-dive into the topics shaping AI development

Context Engineering

Neuro-Symbolic AI

Model Context Protocol

Model Releases

IDEs & Tools

Dev Tools & Frameworks

Pedro Sanches

04 / Contributor

Pedro Sanches

Engenharia de Contexto e Sistemas Cognitivos

Specializing in the orchestration of Large Language Models within production ecosystems. Building bridges between deterministic code and stochastic intelligence.

05 / Manifesto

The future of native intelligence is built through Context, protocol and systems thinking.

Pedro Sanches