White Paper

Harnessing AI to Accelerate Innovation

Our strategic approach to evaluating and implementing AI coding tools

In this White Paper

Making sense of the AI tools on offer

This White Paper gives a useful overview for companies wanting to leverage the latest AI pair programming tools.

Evaluation and Implementation

Companies should prioritise a tool's compatibility with their tech stack, its training data, compliance and security features.

Taking control of AI

The promise of AI coding tools should not be underestimated, but success hinges on alignment with company needs, adequate training, and human oversight. They complement, not replace, human developers.

 

92%

of developers say they use AI coding tools at work

70%

of the developers surveyed say they already see significant benefits when using AI coding tools

Open-source vs proprietary

Are we looking to customise or for an off-the-shelf solution?

Workflow integrations

What programming languages and IDEs are supported?

Data trained on

Does it include proprietary code?

Ease of use

How’s the UX? Are there good documentation and support?

Fine-tuning capabilities

Can we fine-tune to our needs?

Performance

Is the data trained on good-quality? How’s the latency and output for our use cases?

Self-hosting options

How important is security?
Can we maintain this?

Cost & licensing

Do the pricing model and licensing terms match our needs?

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