Generative AI Coding Assistant

Why read
this whitepaper ?

At CronosAI, we've witnessed firsthand the potential of generative AI coding assistants. But we've also seen the challenges organizations face when integrating these tools. That's why we created this whitepaper: to provide a practical guide to navigating the complexities of AI-driven development.

Inside, we explore the impact of AI assistants, analyse the market landscape of available tools, and introduce our CronosAI Method for successful implementation.

Boost developer productivity by up to 55.8%

Navigate the challenges of code quality and security

Choose the right AI coding assistant for your team

Implement AI coding assistants effectively with the CronosAI Method

Explore future trends in AI-driven software development

Key

findings

Learn more about these findings and how to mitigate risks inside the whitepaper.

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55.8%

Faster Task Completion

(Peng et al.)

7.5-21.8%

More Tasks Per Week

(Cui et al.)

36%

Higher Security Vulnerability Risk

(Perry et al.)

Inside the whitepaper

Chapter 1

The Impact of Generative Coding Assistants: The Good, the Bad, and the Ugly

Productivity Gains:
Explore research showing how AI assistants significantly reduce coding time and improve developer focus.
Code Quality Concerns:
Understand the potential risks to code quality, security, and maintainability.
Balancing Productivity and Risk:
Learn how to navigate the trade-offs between accelerated development and ensuring robust, secure code.

Chapter 2

Generative Coding Assistants in the Market: Tools and Usability

Tool Categories:
We break down the different types of AI coding assistants, from general-purpose language models to IDE integrations.
Usability Comparison:
A clear comparison table helps you understand the benefits and drawbacks of each category, guiding your tool selection process.
Popular Tool Overview:
We analyse popular tools like GitHub Copilot, AWS CodeWhisperer, Cursor AI, and more, highlighting their key features and unique advantages.

Chapter 3

The CronosAI Method: Introducing Generative Coding Assistants

Phased Adoption Strategy:
From identifying opportunities to training your team and establishing governance, the CronosAI Method guides you through the practical steps of implementing AI coding assistants.
Case Study:
See a real-world example of how the CronosAI Method delivered tangible results for a client, including a 25% reduction in development time and an 18% improvement in code quality.

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Boost Your Software

development with generative

AI Coding Assistants

Why read
this whitepaper ?

Key

findings

55.8%

7.5-21.8%

36%