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Braintrust by Cortex

Ganesh Datta

Candid conversations with the builders shaping the future of engineering.

Braintrust dives into the operational realities of running high-performing engineering organizations, from production readiness and migrations to AI adoption and operational excellence.

Hosted by Ganesh Datta, CTO & Co-founder of Cortex

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  • 23 episodes
  • fortnightly
  • Avg 37 min
  • English
Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.
  • #22
    September 10 · 47 min

    Outcomes over activities: Planera's Naveen Puvvula on aligning humans and agents to the work that matters

    Cortex co-founder and CTO Ganesh Datta sits down with Naveen Puvvula, who recently left a director role at Life360 to become a senior principal engineer at construction tech startup Planera, to talk about what it takes to align both humans and AI agents around outcomes instead of activity. Naveen and Ganesh discuss why architecture and product judgment remain squarely human tasks even as agents get better at execution, how organizational bottlenecks rather than raw compute determine whether AI investment pays off, and why engineering specialization is likely to stratify the way manufacturing did with the rise of factory technicians. They also get into the trust gap AI still needs to close in regulated, high-stakes industries, and why unlimited token budgets are reviving the same tech debt trade-offs teams used to make with headcount.

    • Transcript
  • #21
    August 27 · 43 min

    Attacker expertise just got commoditized: Semgrep's Adam Berman on security in the agent era

    Cortex co-founder and CTO Ganesh Datta sits down with Adam Berman, who recently stepped back from VP of Engineering into an individual contributor role at Semgrep, the application security company built on static analysis. Adam and Ganesh dig into how AI coding agents are reshaping both engineering leadership and application security. Adam shares why he traded running Semgrep's engineering org for hands-on building again, and how AI has changed the math for leaders who want to stay close to the code. He and Ganesh talk through why static analysis is having a resurgence as a cheap, fast guardrail for agents, how security review is shifting from CI into the IDE and even into the design phase, and how agents are getting unnervingly good at chaining together minor vulnerabilities into critical exploits. They close on how much to trust agents with fixing their own security issues, and what it actually takes to go "full dark factory" safely.

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  • #20
    August 13 · 33 min

    Garbage in, garbage out: Splunk's Steve Flanders on why AI can't fix your bad telemetry

    Cortex co-founder and CTO Ganesh Datta sits down with Steve Flanders, who leads AI transformation at Splunk and wrote the book on OpenTelemetry, to talk about why AI acceleration without strong observability foundations creates more problems than it solves. Steve and Ganesh dig into how AI-generated code moves bottlenecks downstream to code review and production failures. They also cover why badly correlated telemetry makes AI-powered observability useless, how OpenTelemetry provides the semantic conventions needed to fix that, and why the path to shipping faster with AI runs through better data hygiene, not around it.

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  • #19
    July 30 · 34 min

    Your platform is your business, encoded onto your infra, with Syntasso's Abby Bangser

    Cortex co-founder and CTO Ganesh Datta sits down with Abby Bangser, a platform engineering leader at Syntasso and former lead of the CNCF Platforms Working Group, to talk about why AI agents need real platform APIs, not raw cloud credentials. Abby and Ganesh dig into what business requirements actually look like when encoded into a platform, from compliance and labeling to disaster recovery and regional decisions. They talk through why markdown "skill" documents are no substitute for real APIs and deterministic tools that enforce constraints by design. Abby introduces the Etsy analogy: platform teams are like the engineering org at Etsy, responsible for building the marketplace itself rather than knitting the sweaters. And she makes the case against distributing IaC templates to end users, arguing that an API layer separating producers from consumers is what lets a platform evolve without breaking everything downstream.

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  • #18
    July 16 · 45 min

    Trust is for people, confidence is for tools: Tealium's Dr. Martin Nettling on reviewing AI-generated work

    Cortex co-founder and CTO Ganesh Datta sits down with Dr. Martin Nettling, Senior Director of Engineering and Head of QA at Tealium, to explore the distinction between trusting people and having confidence in tools, and why that difference matters as AI becomes part of every engineering workflow. Martin and Ganesh discuss the augmented author model, where engineers take full responsibility for AI-generated outputs rather than treating the tool as the author. They get into what breaks when AI writes your Jira tickets or pull requests without a human validating the thinking, why the ability to trace any decision from organizational strategy to production logs is a chain teams can't let break, and how organizations can build genuine confidence in automation without automating away the exercises that actually make teams learn.

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  • #17
    July 2 · 41 min

    Your Ops Review is Theater, and That's the Point: Aleks Rudzitis on Turning Reliability into a Shared Value

    Cortex co-founder and CTO Ganesh Datta talks with Aleks Rudzitis, Principal Engineer at AWS, about how the structure and theater of ops reviews can turn reliability into a shared organizational value. Aleks explains how error budgets make reliability standards concrete rather than aspirational, why async reports can't replace the psychological weight of a live meeting with leadership, and how AI has made it feasible to backfill tests and even formal verification proofs that were previously too labor-intensive to justify. He also shares what it takes to get an ops review program off the ground in organizations that don't already have the habit.

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  • #16
    June 18 · 29 min

    Operational excellence (OpEx) reviews: the weekly meeting that actually changes behavior

    Cortex co-founder and CTO Ganesh Datta sits down with Shawn Burke, Distinguished Engineer at Cortex, to explore what separates an operational excellence review that drives real engineering behavior from one that produces great conversation and nothing else. Shawn draws on experience from SoFi, Uber, and Microsoft to explain why these reviews so often fail—and how to build a process that actually sticks. Shawn and Ganesh walk through why senior leadership presence is non-negotiable for the process to matter, and why fully automated reporting is the difference between a meeting that sustains and one that dies. They cover golden signals, SLOs, and how error budgets help teams balance feature work against reliability investment. They also discuss how AI coding assistants are introducing new operational risks around code review quality and flaky tests, and why AI agents may eventually act as a chief of staff—surfacing the why behind the metrics so teams can act on patterns instead of just observing them.

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  • #15
    June 4 · 36 min

    Okta's Dinesh Sukhija on meeting AI with AI, and the convergence of platform, SRE, and security

    Cortex co-founder and CTO Ganesh Datta sits down with Dinesh Sukhija, Director of Engineering at Okta, to discuss how AI is reshaping the relationship between platform engineering, SRE, and security. Dinesh explains why platform teams must treat engineers as users and run real discovery before building. They get into how paved paths have evolved from code scaffolding to guardrailing AI-generated code, controlling token usage, and approving models. Dinesh also makes the case for meeting AI-generated threats with AI defenses, and explains how he sees platform, SRE, and security converging into a shared safety function at organizations shipping at AI speed.

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  • #14
    May 21 · 37 min

    Why DevOps transformations fail in regulated industries, with Merge Ready's Matt Bailey

    Cortex co-founder and CTO Ganesh Datta sits down with Matt Bailey, DevOps consultant and founder of Merge Ready. Matt shares lessons from helping large regulated organizations in finance, healthcare, and government transform their DevOps practices, and explains why DevOps is an outcome rather than a toolchain. Matt and Ganesh discuss why compliance can be mostly automated rather than a mandatory bottleneck, how to turn 30-day approval processes into continuous audit readiness through controls as code, and why treating platform teams as product teams drives natural adoption. They also explore decision latency as a core organizational problem, the importance of stakeholder management as a DevOps skill, and how AI agents may shift infrastructure drift management from prevention to embrace.

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  • #13
    May 7 · 58 min

    Building a developer platform like a product: Inside The New York Times with Sneha Rao and Ahmed Bebars

    Cortex co-founder and CTO Ganesh Datta sits down with Sneha Rao, VP of Product, and Ahmed Bebars, Principal Engineer, both from The New York Times Developer Platforms team, to discuss what it means to build and operate a developer platform at scale across a complex media organization. Sneha and Ahmed explain why developer platforms need a product mindset alongside engineering, how renaming their team from Delivery Engineering opened a broader strategic mandate, and why SRE and reliability belong inside the platform rather than a separate function. They also share how to think about build vs. buy, when to start a platform function, and why AI is another evolution in the platform story rather than a revolution.

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  • #12
    April 23 · 38 min

    Rootly's Dan Sadler on why AI coding tools are driving more incidents and why reliability is the product

    Cortex co-founder and CTO Ganesh Datta sits down with Dan Sadler, VP of Engineering at Rootly. Dan explains how Rootly treats reliability as a product feature rather than just a technical metric, and why culture might be the most impactful element of building reliable systems. Dan and Ganesh discuss weekly operational reviews that tie technical metrics back to user experience, how load testing and chaos engineering help Series A companies mature faster, and why dogfooding their own on-call product creates better engineering decisions. They also explore a concerning trend in Rootly's customer data showing that AI coding assistants are driving more incidents, and why reliability practices become even more critical as code generation speeds up.

    • Transcript
  • #11
    April 9 · 48 min

    From IC to VP: Engineering Leadership at Every Level, with Box's Tamar Bercovici

    Cortex co-founder and CTO Ganesh Datta sits down with Tamar Bercovici, VP of Engineering at Box, who spent 15 years at the company growing from senior IC to leading its core platform organization, to talk about what engineering leadership looks like at each level of the org. Tamar walks through how the job fundamentally changes as you move from manager to director to VP, including a key shift at director level where you stop working within constraints and start reshaping them. She and Ganesh dig into how AI is less a new challenge than a pressure test on existing engineering practices, and why teams with strong CI/CD and observability will move faster while undisciplined teams will struggle. Tamar also shares a mentorship pairing program where engineers already effective with AI coach those still learning, sometimes reversing the usual seniority dynamic. And she explains how Box's platform team connects internal standardization directly to external customer value through security, access control, and product cohesion.

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  • #10
    March 26 · 44 min

    Rob Zuber on quality, metrics, and what it means to move in the right direction at CircleCI

    Cortex co-founder and CTO Ganesh Datta sits down with Rob Zuber, CTO at CircleCI. Rob shares how the industry's move away from dedicated QA has cost teams more than they realize, and explains how AI is changing what good software quality actually looks like. Rob and Ganesh discuss why velocity without direction is the wrong thing to optimize for, how LLMs can help teams think like a great QA engineer again, and what it takes to run exploration and core systems teams at fundamentally different speeds. They also get into why traditional delivery metrics fall short for innovation work, and what to measure instead when teams are discovering rather than just executing.

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  • #9
    March 12 · 36 min

    The platform engineering playbook for velocity, quality, and AI readiness at SIXT

    Cortex co-founder and CTO Ganesh Datta sits down with Boyan Dimitrov, CTO at SIXT. Boyan shares how SIXT went from releasing software once or twice a month to nearly 10,000 deployments per month, and explains the platform engineering philosophy that made it possible. Boyan and Ganesh discuss why velocity and quality don't have to be a trade-off, how SIXT's standardization work paid off unexpectedly when AI arrived, and what it looks like to build a platform that earns its own adoption. They also get into how to measure platform value with cycle time and product ROI, and what starting from scratch would look like in an AI-first world. https://www.cortex.io/podcast

    • Transcript
  • #8
    February 26 · 37 min

    How Thrive Market's SVP of Engineering thinks about reliability culture

    In this episode of Braintrust, Cortex co-founder and CTO Ganesh Datta sits down with Randy Shoup, SVP of Engineering at Thrive Market. Randy shares lessons from his leadership roles across multiple companies and explains how measurement and transparency can help teams build stronger engineering cultures. Randy and Ganesh chat about how fear can block progress, why recovery speed matters more than trying to prevent every failure, and how teams improve through steady, incremental gains. They also discuss a few practical ways to build trust around metrics so organizations can use visibility for learning instead of punishment.

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  • #7
    February 12 · 49 min

    Unwinding the trillion dollar mistake of over-engineered microservices

    Steve Evans, former SVP of Engineering at Chegg, joins Ganesh Datta to explore why the microservices revolution created a new class of hidden costs that most engineering organizations never see coming. Steve shares his firsthand experience watching a 300-person org slowly get dragged down by an expanding empire of micro-repos, and why the real damage shows up not in outages, but in the cognitive tax on developers every single day. Steve and Ganesh discuss why traditional engineering metrics like cycle time and deploy frequency can paint a dangerously misleading picture, how business context breaks down as it cascades through an org, and why round tables—not all-hands meetings—are the best way to diagnose where context stops flowing.

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  • #6
    January 29 · 27 min

    How to shift engineering culture by focusing on incentives, not mandates

    Jeff Schnitter, Solution Architect at Cortex and former developer experience leader at Workday, joins Ganesh Datta to explore why changing engineering culture requires starting with pain points rather than jumping to solutions. Jeff shares his experience shifting from a standardization mindset to an outcomes-based approach, the critical lesson that software development is "more faith-based than tech-based," and why new employees are uniquely valuable for questioning the status quo.

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  • #5
    January 15 · 28 min

    Why production readiness at Xero starts with the customer, not the checklist

    Fred Mare, a principal engineer at Xero, joins Ganesh Datta to explore why production readiness should be framed around the customer experience rather than internal operational concerns. Fred shares Xero's approach to confidence scores—a signal that aggregates quality metrics, change size, and test coverage to predict the impact of any deployment on end users. Fred and Ganesh discuss criticality tiering based on customer jobs to be done, why automation is essential to avoid overloading engineering teams, the inseparable relationship between security and production readiness, and why the best advice for starting a production readiness program is to start small and treat it as a journey.

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  • #4
    Dec 18, 2025 · 38 min

    Why the "artisanal" approach to coding is holding engineering teams back

    This week, Cortex co-founder and CTO Ganesh Datta discusses the evolution of platform engineering with Kaspar von Grünberg, CEO and co-founder of Humanitec. Kaspar draws a sharp contrast between the "artisanal" method of software development and the industrialized approach required for modern enterprises. He argues that relying on individual heroes to "YOLO" their way through deployments is unsustainable, and that true scale demands standardized, reliable systems. Ganesh and Kaspar unpack why standardization doesn't kill creativity, the critical difference between "rigid paths" and "Golden Paths," and why treating your platform as a product is non-negotiable. They also discuss the emerging role of AI, arguing that AI agents are effectively a new class of "junior engineer" that makes robust platforms more essential than ever.

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  • #3
    Dec 4, 2025 · 40 min

    How Google Cloud's DORA is helping teams balance AI acceleration with engineering fundamentals

    Nathen Harvey, who leads the DORA research program at Google Cloud, joins Ganesh Datta to explore how AI is reshaping software delivery—and why the fundamentals matter more than ever. Nathen shares insights from DORA's 2025 report on AI adoption, the surprising finding that AI acts as an amplifier of both good and bad practices, and the critical shift teams must make from chasing elite performance to driving elite improvement. Nathen and Ganesh discuss value stream mapping as a planning tool for 2026, why SLOs are becoming more important in an AI-first world, the trust paradox in AI adoption, how to use AI as a catalyst for cultural change, and why measuring lines of code generated by AI misses the point entirely. They also explore how foundational practices like working in small batches, strong version control, and user-centric focus become even more valuable when AI is writing more of your code.

    • Transcript
Showing 1–20 of 23 episodes