Context Engineering
The short answer · 14 words
In short
Systematic selection and organization of the information a language model receives for a task.
Flow-alerta.cab (2026): Context Engineering. https://flow-alerta.cab/en/glossar/context-engineering. Editorially reviewed on: 09 October 2026.
How much detail would you like?
Practical
Relevant to resilient assistants and agents whose quality depends on available information.
Example scenario: An offer agent only receives matching product data, customer specifications and approved price rules.
Define data required for each task and evaluate context variants with realistic cases.
At a glance
- Core
- Context Engineering includes instructions, relevant documents, history, tool definitions and results. The goal is a helpful, up-to-date and trouble-free context. This includes retrieval, selection, summary, and separation of trusted instructions from external data.
- Use
- Relevant to resilient assistants and agents whose quality depends on available information.
- Example
- Example scenario: An offer agent only receives matching product data, customer specifications and approved price rules.
- Limits
- Attach as much data as possible; ignore permissions; shorten important information; treat untrusted content as an instruction.
In context
Prompt Engineering
Methodological formulation and structuring of instructions to achieve consistent and high-quality AI results.
Context Budget
Planned distribution of the limited model context to instructions, documents, history and tool data.
Context Compression
Context Compression condenses existing information for later model steps.
Questions about this term
Is it just prompt engineering?
No, it covers the entire context.
Do you need RAG?
Not mandatory.
Does it guarantee correct answers?
No.
All details and background
Context Engineering includes instructions, relevant documents, history, tool definitions and results. The goal is a helpful, up-to-date and trouble-free context. This includes retrieval, selection, summary, and separation of trusted instructions from external data.
ELI5 – Explained simply
You put the right documents on the table for a professional in the right order.
Why it matters in practice
Relevant to resilient assistants and agents whose quality depends on available information.
Example
Example scenario: An offer agent only receives matching product data, customer specifications and approved price rules.
Pitfalls and limits
- Attach as much data as possible; ignore permissions; shorten important information; treat untrusted content as an instruction.
Origin & history
The term gained importance in agent development in 2025; it bundles older practices of context management.
Use in mid-sized companies
- Define data required for each task and evaluate context variants with realistic cases.
Related terms
Matching Flow-alerta service
AI opportunity analysis & roadmapAI consulting – developing contextual architectures for traceable corporate assistants.Matching tool / use case
View use casesUse case: targeted compilation of approved information for an offer agent.Sources
- www.anthropic.comAnthropic, Effective context engineering for AI agents (2025)
Quellenprüfung: 09.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.
Editorially reviewed on: