Parthiban Rajasekaran
Member for
5 months 1 weekParthiban is an engineering manager in regulated FinTech, focused on building calm, high-performing teams and reliable cloud-native platforms. He writes about AI-assisted engineering, DevOps, observability, and test strategy from a practitioner’s perspective, with an emphasis on what works at scale. He is particularly interested in translating strategy into measurable outcomes using SLIs, SLOs, and modern delivery practices.
Parthiban is an engineering manager in regulated FinTech, focused on building calm, high-performing teams and reliable cloud-native platforms. He writes about AI-assisted engineering, DevOps, observability, and test strategy from a practitioner’s perspective, with an emphasis on what works at scale. He is particularly interested in translating strategy into measurable outcomes using SLIs, SLOs, and modern delivery practices.
All Articles by Parthiban Rajasekaran
All Stories by Parthiban Rajasekaran
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Beyond the Prompt: A Quality-First Framework for AI-Assisted Engineering While AI tools dramatically accelerate coding and documentation, they often amplify hidden technical debt and reliability issues. Using a quality-first framework can mitigate these risks, emphasizing human-defined testing, risk-tiered usage, and intent-focused reviews. By shifting focus from output volume to systemic resilience, teams can leverage AI velocity without sacrificing production stability or engineering trust. |