The New Era of Software Development

AI Developer Assistants are rapidly evolving from novelties into indispensable tools within enterprise software engineering teams. This report explores their impact, common applications, and the strategic approach enterprises are taking towards adoption and procurement.

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Faster Development

Studies show developers complete tasks up to 45% faster with AI assistance.

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Enterprise Adoption

Over 90% of large enterprises are actively using or piloting AI coding tools.

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Developer Satisfaction

75% of developers report higher job satisfaction and less time on tedious tasks.

Quantifying the Impact

The adoption of AI assistants is not uniform, nor is their impact on every development task. The visualizations below illustrate the current landscape of enterprise adoption and how AI is augmenting specific coding activities. Interact with the charts to see the data.

Enterprise Adoption Status

% of Coding Task Supported by AI

Core Enterprise Use Cases

AI assistants are more than just autocompleters. Enterprises leverage them across the software development lifecycle to accelerate delivery, improve code quality, and empower developers. Click through the tabs below to explore the most common applications.

Code Generation & Autocompletion

This is the primary function, where the AI suggests single lines or entire blocks of code based on natural language comments or the surrounding context. It excels at generating boilerplate, implementing standard algorithms, and working with unfamiliar APIs, drastically reducing typing and research time.

The Enterprise Journey to Adoption

Adopting an AI developer assistant in a large organization is a multi-stage process involving technical, security, and business stakeholders. The journey requires careful evaluation at each step. Click a step below to see the key criteria and considerations.

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Discovery

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Pilot & PoC

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Security Review

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Rollout

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Measure ROI

Discovery & Evaluation

Teams identify productivity bottlenecks and research available AI tools. The goal is to create a shortlist of potential solutions.

  • Integration: Does it support our primary IDEs (VS Code, JetBrains, etc.)?
  • Language Support: Does it cover our core technology stack (e.g., Python, Java, JavaScript, C#)?
  • Public Reviews: What is the developer community saying about this tool?