An AI coding assistant helps developers write code by suggesting completions, snippets, or functions from context in their development environment. The focus here is coding support, not a general-purpose conversational interface. section 6.1.3
For a developer, an assistant can reduce repetitive typing and offer examples when learning a language. For a lead developer, the question is broader: will it help this team without weakening independent problem-solving or introducing code that has not been checked? section 6.1.3
Before recommending an assistant, check:
- Fit: Does it help with current or planned projects, and does it work with existing tools and workflows? section 12.3.4
- Output: Are its suggestions useful, and how often are they incorrect, insecure, or unsuitable for unusual cases? section 6.1.3 section 12.3.4
- Cost and risk: Account for training, integration, maintenance, data handling, privacy, and the possibility of overreliance. section 12.3.4
Making the case to management
If faster product development is a business goal, identify which tasks an assistant could speed up. Present the expected benefits alongside costs and risks, rather than treating faster code suggestions as a complete business case. section 12.3.4
Table 6.2 Most popular AI coding tools (view table figure)
Compare named coding assistants by their described capabilities and editor integrations before assessing their fit for a team. section 6.1.3
