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Better prompts are not enough.
One AI tool scored 74.2% on a test. Another scored 69.4%. They used the same model. The difference was the system design.
Prompt engineering fixes one call. Context engineering manages the whole loop.
An agent equals a model plus a system. If you do not build the model, you build the system.
Build your system with these 7 parts:
- System Prompts: Define identity and rules.
- Tool Descriptions: Tell the model how to use tools.
- Context Policies: Decide what to keep or delete.
- Memory: Use short-term and long-term storage.
- Feedback Loops: Use errors to fix the path.
- Hooks: Use code to force rules.
- Observability: Track costs and traces.
Use the Ratchet Pattern. Your agent will fail. Find the mistake. Add a rule to stop it. The agent gets better with every error.
Stop using one agent for everything. Split the work. Use one agent to plan. Use another to write. Use a third to review. This separation improves quality.
The model is the engine. The system is the driver. Build a great system to make your agents work.
Source: https://dev.to/monuminu/context-engineering-the-developers-complete-guide-to-building-high-performance-ai-agents-54l5 Optional learning community: https://t.me/GyaanSetuAi