README
System Status: ACTIVE
Context: CLAUDE-CODE EXECUTION ENGINE
00. Orientation
Section titled “00. Orientation”The following documentation outlines the operational parameters requiring mastery before engaging the stochastic execution loops. Failure to internalize these constraints will result in system degradation.
What you’ll be able to answer after this training
Section titled “What you’ll be able to answer after this training”On Verification:
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Claude Code refactors 50 files. All tests pass. What categories of correctness were validated? What categories were not?
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You ask Claude Code to “make this production-ready.” It runs a linter, adds error handling, writes tests. Which production concerns were definitely addressed? Which were possibly missed?
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Claude Code generates a database migration script that executes without errors. Data looks correct in manual spot checks. What remains unvalidated?
On System Behavior:
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You provide the same prompt in two separate sessions. Claude Code produces different implementations, both plausible. What does this tell you about what the system is doing?
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Claude Code says “I tested the function and it works correctly.” Without seeing test execution output, what actually happened?
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If Claude Code’s context window is 200K tokens and your project is 150K tokens, what changes about system behavior compared to a 50K token project—beyond “it fits”?
On Learning and Iteration:
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You iterate with Claude Code until code works. The process required 5 attempts. Was convergence driven by the model’s understanding improving, random sampling eventually hitting a working solution, or something else?
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You correct an error Claude Code made. Three messages later, you ask it to write similar code. Does the correction influence the output? If so, through what mechanism?
On Tool Interpretation:
- Claude Code executes a shell command that returns an ambiguous error. It proposes a solution. How would you distinguish semantic understanding of the error from pattern-matching error text against training data?
01. Curriculum
Section titled “01. Curriculum”Objective: Mental Model alignment.
Scope:
- System Classification
- Stochastic vs. Deterministic operations
- The “Agent” illusion
- Critical Boundaries
Objective: Mechanical competence.
Scope:
- Token Prediction Loops
- Context Window Saturation
- Cost/Risk Analysis
- Failure Mode Catalog
Objective: Systems Audit & Architecture.
Scope:
- Irreducible Uncertainties
- Approval Fatigue
- Responsibility Mapping
- Exit Conditions
02. Execution Protocols
Section titled “02. Execution Protocols”Operators are advised to proceed linearly through the tiers. Verification of understanding is self-managed; however, system integrity depends on adherence to these principles.