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GenAI's unpredictability can be both fascinating and frustrating—ask the same question twice, get two different answers. This non-deterministic nature poses a challenge when integrating AI into software development workflows. At SevenPico, we're making GenAI more predictable, and the benefits extend beyond consistency: Our approach empowers non-technical team members to directly influence code quality without writing a single line of code.
We use Test-Driven Development to create validation guardrails that ensure AI output meets predefined quality criteria. By integrating code linting, code formatting, and automated test coverage into continuous integration checks, we force AI agents to adhere to standards before they can commit any code changes. Additionally, we equip these agents with memory banks containing company-specific patterns and best practices to ensure the output aligns with organizational standards.
We view AI oversight like a "black box with test lights"—you don't need perfect visibility into every line of code, just robust verification mechanisms. When tests pass, you gain confidence that the implementation fulfills requirements, regardless of the specific approach of what's in the black box.
This structured approach transforms how business stakeholders engage with development. For example, Project Managers can tailor AI memory banks with company-standard regulatory requirements and customize AI instructions to fulfill logging or performance criteria. Abstract quality discussions become enforceable standards that shape test-driven development outcomes. Let SevenPico help your team create seamless collaboration where predictable AI empowers everyone to contribute to code quality, regardless of technical background.
