Lakebase and Agentic SDLC: Branching Databases for Coding Agents
AI has changed how software gets built. As coding agents take on a growing share...
9 stories
AI has changed how software gets built. As coding agents take on a growing share...
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Distinguished Engineer, Agentic SDLC & Non‑Linear Productivity — Remote (Canada) · full-time · Remote · $250k-$349k
Engineering taste develops through experience, exploring alternatives, and learning from use. How can teams preserve those opportunities in an agentic SDLC?
How coding agents inspect external open-source dependencies across the software development lifecycle (SDLC).
Ask an engineering team about integrations and the question sounds like a checklist. Does it work with GitHub? Does it read Jira? Is there a VS Code plugin? Fair questions. But they miss what integrations actually do for code review. Every system Qodo connects to is a source of context.
Ryan welcomes Suneet Malhotra, Senior Manager of Test Engineering at Motorola Solutions, to chat about building end-to-end agentic SDLC pipelines using MCPs, using Cohen’s kappa to evaluate multiple LLMs-as-judges, and how you can improve requirements by shifting QA left through a specification…
Reviewing every agent-generated change is becoming impossible. The next bottleneck is deciding what deserves attention, rebuilding context, and keeping code safe after merge.
Ryan welcomes McLaren Stanley, Senior Principal Engineer for Amazon Stores, to discuss what it actually takes to make teams AI native, why agentic engineering is shifting code bottlenecks downstream to testing and deployment, and why robust validation is essential to build trust and enable…
Showing 9 of 9 stories
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