Why Software Is Never “Done” Anymore with Iccha Sethi, SVP of Engineering at Vanta
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In this episode of Modern CTO, Joel Beasley sits down with Iccha Sethi, Senior Vice President of Engineering at Vanta, to explore why software is no longer 'done' in the modern era. Sethi explains that the rise of AI and agentic features has fundamentally changed software development, introducing constant drift and non-determinism from underlying models—vendors like OpenAI and Anthropic continuously evolve their models without clear announcements. This means engineering teams can never truly 'ship and forget' a feature. Instead, they must maintain ongoing quality through continuous evaluation, both offline using golden datasets and online via real customer data. Vanta has built a robust AI evaluation maturity model with five levels, including traceability, golden data, offline and online evaluation, experimentation, and self-improving feedback loops. Sethi emphasizes that engineering leadership now requires a new mindset: staying ahead of drift, managing AI adoption responsibly, and fostering a culture of continuous learning and improvement. The conversation also dives into practical tools and leadership philosophies. Sethi shares how Vanta uses SPAN to track onboarding success, investment mix, and AI tool adoption—especially to monitor 'AI slop' (overly large PRs). She reflects on her career journey from Atlassian to GitHub to Vanta, highlighting how each role offered unique learning opportunities and shaped her leadership style. Key themes include the importance of customer exposure, giving direct feedback with empathy, and adopting proven operational frameworks from mentors. Sethi’s advice to aspiring leaders centers on observing great behaviors and integrating them into your own toolkit—building a personal leadership 'tool belt' over time.
Software is never truly 'done' due to constant AI model drift and non-determinism from third-party vendors.
Implement a five-level AI evaluation maturity model: traces, golden datasets, offline/online evals, experimentation, and self-improving feedback loops.
Use tools like SPAN to monitor onboarding, AI adoption, and PR quality to prevent 'AI slop' and ensure healthy engineering practices.
Leadership success comes from observing and adopting proven behaviors—building a personal 'tool belt' of effective practices.
Give direct, kind feedback early and often; avoid the 'ruinous empathy trap' by naming patterns and co-creating solutions.
…and 3 more takeaways available in PodZeus
Why Software Is Never 'Done' Anymore
“Software is never really done anymore. Even if you're pinned to a specific version of a model, there's always drift happening underneath.”
The AI Evaluation Maturity Model at Vanta
“We’re not just running tests. We’re running experiments to find the best model for each use case, and then feeding those insights back into the cycle.”
Managing AI Drift and Quality at Scale
“It’s like having an alert in a channel when your P99 latency is higher. We’re doing the same thing, but for AI quality.”
Leadership Lessons from a Career in Engineering
Sethi reflects on her journey from Atlassian to GitHub to Vanta, emphasizing learning from each role. She shares how she prioritizes growth over brand, and how customer exposure and feedback shape her leadership.
The New Art of Prompting and Task Chunking
Sethi discusses how AI changes the skill set of engineers: breaking tasks into small, reviewable chunks and mastering prompt engineering. She compares pair programming with AI to mentoring a junior engineer with senior confidence.
“Treat AI agents as junior engineers with senior confidence—pair programming with AI requires new skill sets like chunking tasks and prompt engineering.”
“Software is never really done anymore. Even if you're pinned to a specific version of a model, there's always drift happening underneath.”
“Timing is everything. Don’t over-invest in architecture too early. Accept trade-offs to find product-market fit first.”
Host
Guest
Vanta
organization
Joel Beasley
person
Iccha Sethi
person
SPAN
product
GitHub Actions
product
Andy
person
Atlassian
organization
Envision
organization
NPM
product
Gong
product
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