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    Senior Engineer Mindset for AI Coding Agents

    Force your AI agent to apply senior-level architectural judgment and design notes before writing any code.

    Updated Jun 2026
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    $19

    · or 95 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Prevent over-engineering and unnecessary abstractions in new features
    • Ensure new code strictly adheres to existing architectural layers and patterns
    • Instant install

    Sample input

    Add a logging feature to the user authentication flow so we can track failed login attempts.

    Sample output

    Design Note: - Goal: Track failed logins for security auditing. - Blast Radius: `auth_service.py` and the `audit_logs` table. - Layer: Application service boundary (AuthService). - Reuse: Utilize existing `Logger` utility; do not create a new logging transport. - Approach: Inject logger into `AuthService.login`, catch `AuthException`, and log user metadata. No new middleware needed. - Risks: Avoid logging PII (cleartext passwords). Commit to scrubbing the `password` field before logging.

    About This Skill

    Stop writing spaghetti code and start building systems

    Most AI agents rush to write code the second they receive a prompt. This leads to architectural drift, technical debt, and "clever" solutions that solve the immediate problem while breaking the larger system. This skill installs the disciplined habits of a Staff Engineer into your AI agent, forcing it to think, layer, and reuse before it ever touches a file.

    What it does

    The skill implements a rigorous six-gate "pre-flight check" for every non-trivial task. Before generating code, your agent must evaluate:

    • System Blast Radius: Assessing what dependencies might break.
    • Layer Integrity: Ensuring business logic doesn't leak into controllers or infrastructure.
    • Reuse Hierarchy: Prioritizing existing patterns and utilities over new abstractions.
    • Simplicity Bias: Selecting the most straightforward implementation to avoid over-engineering.

    Why use this skill

    Instead of receiving a massive, unprincipled diff, you get a concise Design Note first. This note outlines the agent's mental model, its architectural choices, and its risk assessment. It transforms your agent from a junior dev who "just makes it work" into a senior partner who "makes it right." It is particularly effective for large codebases where maintaining consistency and avoiding duplication is critical.

    Use Cases

    • Prevent over-engineering and unnecessary abstractions in new features
    • Ensure new code strictly adheres to existing architectural layers and patterns
    • Force a detailed "Design Note" for peer review before large diffs are generated
    • Detect when a task requires a refactor rather than a "quick fix" patch

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    Frequently Asked Questions