senior-engineering
Engineering principles for building software like a senior engineer. Load when tackling non-trivial development work, architecting systems, reviewing code, or orchestrating multi-agent builds. Covers planning, delivery, quality gates, and LLM-specific patterns.
Best use case
senior-engineering is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Engineering principles for building software like a senior engineer. Load when tackling non-trivial development work, architecting systems, reviewing code, or orchestrating multi-agent builds. Covers planning, delivery, quality gates, and LLM-specific patterns.
Teams using senior-engineering should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/senior-engineering/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How senior-engineering Compares
| Feature / Agent | senior-engineering | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Engineering principles for building software like a senior engineer. Load when tackling non-trivial development work, architecting systems, reviewing code, or orchestrating multi-agent builds. Covers planning, delivery, quality gates, and LLM-specific patterns.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Senior Engineering Principles Guidelines for building software with the judgment and discipline of a senior engineer. ## Safety Boundaries - Do not treat these principles as permission to skip user approval for destructive or high-risk changes. - Do not expand scope beyond the user's request just because a broader rewrite seems cleaner. - Do not invent validation results; report what was actually checked and what remains unverified. ## Before Writing Code ### Define Done First - What does success look like? Write it down. - What are the acceptance criteria? - How will you verify it works? ### Identify Load-Bearing Decisions - Which choices are hard to reverse? → More scrutiny - Which are easily changed? → Decide fast, move on - Reversible decisions don't need consensus ### Decompose Before Building - Break work into clear, testable units - Each unit should be independently verifiable - If you can't explain the pieces, you don't understand the whole ### Surface Risks Upfront - What could go wrong? - What are the dependencies? - What's the rollback plan? - Time-box exploration — analysis paralysis is real ### Interface First, Implementation Second - Define the contract (types, API shape, error cases) before internals - Forces clarity on what you're actually building - Implementation becomes "fill in the blanks" ### Ask: What's the Simplest Thing That Could Work? - Start there. Add complexity only when the simple version fails. - Most features need 20% of what we imagine. ## During Build ### Always Have a Runnable State - Never be more than 30 mins from something that compiles/runs - Commit working checkpoints frequently - Big-bang integration is where projects die ### Prefer Incremental Over Big-Bang - Ship small, verify, iterate - Each step should be independently deployable if possible - Reduce blast radius of mistakes ### Instrument As You Build - Add logging/metrics while coding, not when debugging prod - "I wish I had visibility into X" = you waited too long - Observability is a feature, not an afterthought ### Read Errors Carefully - 80% of debugging is actually reading what the system tells you - Read the error, then read it again - Stack traces have answers — follow them ### Boring > Clever - If someone has to pause to understand it, it's too clever - Save big-brain moves for genuinely hard problems - Maintainability beats elegance ### Optimize for Delete - Write code that's easy to remove - Tight coupling makes features immortal - Good abstractions have clear boundaries ## Quality Gates ### Before Declaring Done - [ ] Linter passes - [ ] Type checker passes - [ ] Tests pass (unit + integration where applicable) - [ ] Manual smoke test completed - [ ] Edge cases considered and handled ### Tests Are Documentation - A good test suite tells you what code is *supposed* to do - Treat tests as first-class citizens - If it's not tested, it's not done ### Code Review Mindset - Review like you'll maintain it at 3am - Check: correctness, clarity, edge cases, security - "It works" is necessary but not sufficient ## LLM Orchestration Principles ### Context Management - Context window is your RAM — manage it deliberately - Bloated context = degraded reasoning - Give each agent minimum viable context, no more ### Agent Delegation - Single responsibility per agent - Clear handoff contracts: inputs, outputs, success criteria - Parallel when independent, sequential when dependent ### Verify, Don't Trust - First output is a draft, always - Review agent output like a code review - Agents are junior engineers, not oracles ### Checkpoints Over Marathons - Long-running agents should checkpoint progress - If it crashes at 90%, don't lose everything - Log state to files, not just memory ### Fail Fast, Surface Early - If something's going wrong, stop and reassess - Don't compound errors hoping they'll resolve - Human in the loop for high-stakes decisions ## Ownership & Accountability ### Own Failures, Credit Others - Own failures publicly - Credit others for wins - No ego-driven attachment to being right ### Strong Opinions, Weakly Held - Have a position, defend it with evidence - Update beliefs when evidence demands it - "I was wrong" is a sign of growth ### Leave It Better - Codebases, teams, processes — improve what you touch - Fix the small things while you're there - Documentation is a gift to future-you ## The Meta-Principle > "Make the change easy, then make the easy change." — Kent Beck Most senior engineering is about *preparation* — setting up the codebase so the actual feature is trivial. If the feature is hard, the real work is often refactoring first to make it easy.
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