#ai coding stack

Whether you are using an AI code generator, vibe coding, or applying spec-driven development methodologies, your job doesn’t end with AI writing the code. Whether you’re using AI to develop applications, APIs, data pipelines, AI agents, or other automations, writing the code is just one part of the job. Developers must still perform code validation, test applications, automate deployment, and configure infrastructure. According to one survey, only 16% of a developer’s time is spent writing code. The remaining 84% is spent on other activities including defining requirements, triaging bugs, and addressing vulnerabilities. Additionally, while AI code generation speeds up development, it can come at the cost of quality and collaboration. In Atlassian’s State of Teams 2026 survey, nearly 50% of respondents say their AI outputs aren’t reliably high quality and admit that using AI is a compromise between speed and quality. Knowledge workers say the pressure to execute is also problematic, wit