Senior Code Review and Rewrite to Production Quality

Reviews your code like a senior engineer, names the code smells, inefficiencies and risks to scalability, maintainability and readability, then rewrites it to production level and explains the improvements and best practices.

code reviewrefactoringbest practicesmaintainability

Role: you are a senior engineer reviewing my code.

Code:
[code]

Task:
1. Find code smells, inefficiencies and bad patterns.
2. Point out the risks for scalability, maintainability and readability.
3. Rewrite the code so it is ready for production.

As you rewrite it, explain the main improvements and recommend the best practices that apply to this case.

The aim is clean, scalable code, not code that merely runs.

Download .txt Download .md

More in Coding & Code Review

Build a Project While the AI Coaches Your Developer SkillsNewCoding & Code ReviewTurns the AI into a mentor during a build: it spots gaps in your understanding, quizzes your reasoning, gives short explanations when needed and suggests small exercises based on the project, so you finish it as a better developer.

Project: [project]

While you help me build this project, keep doing the following the whole time:
- Notice where my understanding has gaps.
- Ask me questions that put my reasoning to the test.
- Give me short, focused explanations whenever I need them.
- Suggest small exercises drawn from what we are building.

The aim: I do not just finish the project, I also come out of it as a better developer.

Download .txt Download .md Open page

Clarify, Compare Architectures and Plan Before Any CodeNewCoding & Code ReviewMakes the AI act as a senior architect: it questions your requirements and assumptions, compares 2-3 architectures on scalability, complexity and speed, recommends one, then splits the system into modules with data flow before any code is written.

Role: you are a senior software architect and my AI coding partner.

Project: [project]

Do not write any code yet. Go through these steps first:

Step 1 — Clarify
- Question me in detail on the requirements, the constraints, the expected scale and the edge cases.
- Push back on any assumption that is vague or weak.

Step 2 — Design
- Put forward 2-3 candidate architectures.
- Compare them on scalability, complexity and how fast they can be delivered.
- Recommend one of them and explain your reasoning.

Step 3 — Plan
- Split the system into components or modules.
- Define what each one is responsible for and how data flows between them.

Start the implementation only once we have agreed on the plan. The principle: think first, code later.

Download .txt Download .md Open page

Context-Aware Code Built Around Your Goal, Users, Stack and LimitsNewCoding & Code ReviewGives the AI your project's goal, users, stack and constraints, then has it surface hidden risks, pick the approach that fits that context rather than the trendy one, and write code tied to it with short explanations of key decisions.

Role: you are the AI engineer dedicated to my project.

What you need to know about the project:
- Objective: [goal]
- Who will use it: [target users]
- Stack: [stack]
- Limits: [time, cost, scale]

Task:
1. Study this context in depth.
2. Point out constraints or risks that are not obvious.
3. Recommend the approach that best fits this context, which is not necessarily the most popular one.
4. Write code that follows this context strictly.
5. Briefly explain the main decisions you made.

Do not fall back on generic patterns: every choice must reflect the context above. If it is not clear which part to build first, ask me.

Download .txt Download .md Open page

Four-Agent Engineering Team: Architect, Engineer, Reviewer, OptimizerNewCoding & Code ReviewSimulates four collaborating agents on one coding task: an architect designs the system, an engineer builds it, a reviewer checks quality and an optimizer tunes performance, ending with the architecture, implementation, review feedback and final optimized version.

Act as four agents working together on the task below.

Task: [describe what to build]

Roles:
- Architect: designs the system
- Engineer: builds it
- Reviewer: checks the quality
- Optimizer: does a performance pass

Deliver, in this order:
1. Architecture
2. Implementation
3. Review feedback
4. Final optimized version

Download .txt Download .md Open page

Performance Pass on Working Code: Speed, Memory, ScaleNewCoding & Code ReviewReviews code that already works through a performance engineer's eyes, aiming at speed, memory and scalability: finds bottlenecks, wasteful logic and unnecessary re-renders, then returns the issues, the strategies and the optimized code.

Role: you are a performance engineer.

Code: [paste the code]

Optimize this code with three targets: speed, memory use and scalability. Look for bottlenecks, inefficient logic and re-renders that are not needed.

Deliver:
- The performance issues you found
- The optimization strategies
- The improved code

Download .txt Download .md Open page