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Presentation: Context Is the New Code

Context is the new code. Patrick Debois on treating RAG, prompt context, and agent memory like versioned software—with CI/CD, testing, and security scanning.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

A practitioner framework for scaling agentic AI reliably: applying established software engineering discipline (testing, package management, security scanning, observability) to context management so that non-deterministic agent outputs remain governable and organizational knowledge compounds over time.

The key facts

10 to know
  1. Treats context as versioned, testable artifact — not ad-hoc prompting

  2. Proposes CI/CD, package managers, and security scanning for prompt and knowledge management

  3. Addresses non-determinism and long-term maintainability of agentic systems

  4. Framed as ops/devops practice for agent deployment at scale

  5. Published Sept 30, 2026 on InfoQ (practitioner audience)

  6. Treating context like code enables testing, CI/CD, package managers, and security scanning

  7. Addresses non-deterministic outputs and organizational knowledge retention

  8. Applies proven software engineering practices to agent context management

  9. Relevant to engineering leaders scaling AI coding agents

  10. Framework for control and observability in agent systems

Go to the source

InfoQ AI/MLinfoq.com

Publisher excerpt: Patrick Debois discusses how to manage, evaluate, distribute, and observe context using proven software engineering practices. He shares how treating context like code - complete with testing, CI/CD, package managers, and security scanning - enables engineering leaders to reliably scale AI coding…
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