More screenshots

    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    AI Software Engineering / Coding Production Agent

    by antara chindarkar

    1

    Transforms software requirements into planned, implemented, tested, reviewed, and production-ready engineering changes.

    Secure checkout via Stripe

    0 installsSecurity scanned

    See it in action

    You say

    Implement a new user authentication feature in my existing web application. First inspect the repository to understand the current architecture, authentication flow, coding conventions, dependencies, and testing setup. Then create a concise implementation plan and implement the feature using the existing repository patterns. Add or update appropriate tests, run the relevant validation checks, diagnose and fix any failures, and review the final diff for correctness, security, maintainability, and regression risk. Do not modify unrelated files or introduce unnecessary dependencies. At the end, summarize what changed, what was actually validated, any remaining risks or assumptions, and classify the result as READY, REVIEW, or BLOCKED.

    Your agent does

    Result

    Implemented the requested authentication feature using the existing repository architecture and conventions.

    Key Changes

    Updated the relevant authentication components. Reused existing project patterns and dependencies. Added appropriate input validation and error handling. Added or updated relevant unit and integration tests. Avoided unrelated repository changes.

    Validation

    Targeted tests: Passed Relevant regression checks: Passed Build/type checks: Passed where applicable Final diff: Reviewed

    Security & Risk Review

    Authentication boundaries reviewed. Input and error-handling paths checked. No unnecessary secrets or credentials introduced. Remaining assumptions or risks identified where applicable.

    Status

    READY

    The requested scope is complete and the available validation evidence supports this status.

    What you get

    Implement new features following existing repository architecture and patterns.Debug and repair complex bugs through iterative failure-driven testing.Execute framework or dependency migrations with staged implementation plans.Perform security audits and apply remediations without expanding scope.Diagnose and fix software bugs with targeted regression testing.Create and improve automated tests for existing or newly implemented functionality.Refactor code while preserving existing behavior and project conventions.Review code changes for correctness, maintainability, security, and regression risk.Debug failing tests, builds, and integrations using a structured failure-recovery workflow.Plan and execute framework, dependency, or language migrations with compatibility checks.Prepare software changes for release using production-readiness validation.Audit repositories for technical debt, engineering risks, and improvement priorities.Optimize application performance using evidence-based engineering analysis.

    About this skill

    AI Software Engineering / Coding Production Agent is a production-grade AI engineering capability designed to help developers and software teams handle real software-development work—not just generate code.

    It transforms software requirements, features, bugs, refactoring tasks, testing needs, migrations, security reviews, and release tasks into a structured engineering workflow covering repository understanding, planning, implementation, validation, debugging, code review, risk assessment, and production-readiness evaluation.

    The Skill uses a repeatable PROVE methodology: Parse the objective, Recon the system, Outline the change, Validate continuously, and Establish readiness. It adapts its workflow to task complexity and risk, handles incomplete or contradictory requirements, protects against scope creep and instruction-injection attempts, and avoids fabricating tests, tool usage, evidence, or completion status.

    Its key differentiator is evidence-based engineering validation. Instead of simply generating code or claiming that a task is complete, the Skill evaluates available evidence and classifies the result as READY, REVIEW, or BLOCKED. This helps users move from AI-generated code toward a more disciplined, testable, reviewable, and production-oriented software-engineering workflow.

    The Skill is designed for repeated professional use across software projects, repositories, applications, APIs, libraries, and development workflows.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

    Not a fit? Get your money back

    Trust & safety

    Security scanned

    Verified clean today

    Listedtoday

    Creator

    antara chindarkar
    antara chindarkar

    11 skills on Agensi

    Creative professional with 20+ years of experience across design, illustration, and game development. I build specialized AI agent skills designed to turn complex creative workflows into efficient, production-ready systems. My focus is creating practical tools that deliver professional results and genuine value for creators and teams.

    Frequently Asked Questions

    Popular in Testing & QA