Mastering Context Engineering

What Context Actually Means When we talk about context in agent systems, we’re referring to far more than just the user’s initial message or task description. Context encompasses:

Ref. 96C5-A

Principle One: Share Full Agent Traces The solution to the telephone game seems obvious in retrospect: stop playing telephone. Instead of having the main agent summarize and paraphrase the task for sub-agents, give the sub-agents direct access to everything the main agent saw and did.

Ref. F69C-B

5.3 Principle Two: Avoid Simultaneous Decision-Making

Ref. 62AB-C

6.1 Read-Only Sub-Agents: A Constrained Multi-Agent Pattern

Ref. FA51-D

The Edit-Apply Pattern: Trading Accuracy for Speed

Ref. 186E-E

• Embarrassingly parallel work: Tasks that genuinely don’t interact or share state • Different optimization goals: Speed-accuracy trade-offs like the edit-apply pattern

Ref. DE6D-F

Tools: The Power of Universal Primitives

Ref. FA96-G

9.5 Minimizing Verbosity in Communication

Ref. B09E-H

• Log analysis: Read error logs from preview environment and fix issues before human sees them • Performance regression detection: Compare latency/memory with baseline and iterate if degraded • Cross-browser testing: Automatically verify changes work across browsers and devices • Accessibility validation: Check for accessibility regressions and fix them proactively

Ref. 2996-I

Agents must be able to express uncertainty and escalate decisions beyond their scope. Build systems that reward saying ‘I don’t know’ rather than confidently guessing. Implement confidence metrics and escalation mechanisms that keep humans in the loop for critical

Ref. CC1B-J

• Human-in-the-loop means intelligent escalation. Not just stop/go buttons, but agents that know when they’ve exceeded their scope and proactively involve humans for critical decisions.

Ref. 8F64-K