Boost developer productivity with AI-powered automation

Streamline routine coding tasks, accelerate deliverables, and enforce quality standards with CodeTools.

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Why developer workflows demand a smarter approach

Despite AI-assisted coding tools like GitHub Copilot, developers still face critical productivity gaps. CodeTools is designed to bridge these gaps.

Repetitive developer overhead

Large portions of developer time go into repetitive tasks like code reviews, infrastructure setup, documentation, and boilerplate generation.

Inconsistent code quality

Without standardized review processes, coding practices, or automated checks, code quality varies across teams, leading to defects and rework.

Delivery delays & inflated costs

Engineers juggle multiple tools and systems, which adds context switching fatigue, stretches project timelines, and reduces delivery predictability.

Barriers to AI adoption

Copilots and similar tools are powerful but lack domain-specific extensions and may require heavy customization to be truly effective.

How CodeTools boosts productivity

Rather than offering one-off tools, CodeTools provides a structured foundation for developer automation. Its components combine to make routine tasks simpler, infrastructure more reliable, and AI adoption seamless.

Prompt library

Save time and reduce repetitive effort with a curated collection of ready-to-use prompts. From generating test cases to automating documentation, CodeTools standardizes daily developer tasks and eliminates the trial-and-error of crafting prompts from scratch.

MCP servers for Copilot

Accelerate development by giving Copilot specific capabilities through custom MCP servers. From reviewing pull requests in a consistent format to running automated checks on code quality and dependencies, MCP brings structure and reliability to workflows.

Copilot extensions

Streamline IaC and DevOps workflows with specialized extensions. CodeTools enables Terraform quality checks, automated code generation, and system diagram generation directly from GitHub repos, turning time-intensive tasks into simple, automated steps.

Bring automation to the entire SDLC

CodeTools turns everyday development pain points into measurable business gains, helping teams improve speed, quality, and efficiency.

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Faster delivery cycles

Ship features quicker and reduce time-to-market. CodeTools automates repetitive coding, review, and infrastructure tasks so developers can focus on innovation instead of manual overhead.

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Improved quality

Adopt standardized practices with confidence. By enforcing structured reviews, automated checks, and reusable prompts, CodeTools ensures predictable, high-quality outcomes across teams.

Faster Time to Value

Lower delivery costs

Do more with less engineering effort. CodeTools minimizes wasted hours, reduces tool fragmentation, and maximizes ROI by making AI automation practical and scalable for real-world use.

See CodeTools in action.

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