Fame Host (https://fame.so) The Agentic Review https://podcasts.fame.so/the-agentic-review https://feeds.fame.so/the-agentic-review The Agentic Review by Qodo is where technology and engineering leadership meet to unpack real-world lessons from teams adopting AI into their workflows, exploring the gap between high-speed AI coding and the importance of building a culture that enables trust and governance in AI software development. Hosted by Qodo Co-founder & CEO Itamar Friedman and AI Developer Relations Lead, Nnenna Ndukwe, the show brings together engineering and AI industry leaders for candid, engineering-first conversations about code quality and human oversight in the era of AI software development. Copyrights © 2026 All Rights Reserved by Qodo en Wed, 08 Apr 2026 17:07:04 +0000 Thu, 20 Aug 2026 05:35:53 +0000 https://content.fameapp.so/uploads/7w16k52q/9c72b5c0-336c-11f1-b7bf-cd856d6986dd/9c72b6b0-336c-11f1-a217-771a73d42a21.png The Agentic Review https://podcasts.fame.so/the-agentic-review The Agentic Review by Qodo is where technology and engineering leadership meet to unpack real-world lessons from teams adopting AI into their workflows, exploring the gap between high-speed AI coding and the importance of building a culture that enables trust and governance in AI software development. Hosted by Qodo Co-founder & CEO Itamar Friedman and AI Developer Relations Lead, Nnenna Ndukwe, the show brings together engineering and AI industry leaders for candid, engineering-first conversations about code quality and human oversight in the era of AI software development. Qodo The Agentic Review by Qodo is where technology and engineering leadership meet to unpack real-world lessons from teams adopting AI into their workflows, exploring the gap between high-speed AI coding and the importance of building a culture that enables trust and governance in AI software development. Hosted by Qodo Co-founder & CEO Itamar Friedman and AI Developer Relations Lead, Nnenna Ndukwe, the show brings together engineering and AI industry leaders for candid, engineering-first conversations about code quality and human oversight in the era of AI software development. No No episodic Qodo The Agentic Review by Qodo is where technology and engineering leadership meet to unpack real-world lessons from teams adopting AI into their workflows, exploring the gap between high-speed AI coding and the importance of building a culture that enables trust and governance in AI software development. Hosted by Qodo Co-founder & CEO Itamar Friedman and AI Developer Relations Lead, Nnenna Ndukwe, the show brings together engineering and AI industry leaders for candid, engineering-first conversations about code quality and human oversight in the era of AI software development. The Agentic Review by Qodo is where technology and engineering leadership meet to unpack real-world lessons from teams adopting AI into their workflows, exploring the gap between high-speed AI coding and the importance of building a culture that enables trust and governance in AI software development. Hosted by Qodo Co-founder & CEO Itamar Friedman and AI Developer Relations Lead, Nnenna Ndukwe, the show brings together engineering and AI industry leaders for candid, engineering-first conversations about code quality and human oversight in the era of AI software development. The Agentic Review, Qodo, Itamar Friedman, Nnenna Ndukwe, AI software development, agentic AI, engineering leadership, code quality, AI governance, developer productivity Alivia Carter  team-qdo@fame.so No No No Deterministic Governance for Enterprise AI Systems https://podcasts.fame.so/e/vn5jlkm8-deterministic-governance-for-enterprise-Nirmal-Jingar Deterministic Governance for Enterprise AI Systems 0 No No 80q37rz0 Nirmal Jingar discusses deterministic governance and why wrapping AI in guardrails is essential for production. We explore the need to modernize legacy systems before adding AI, the importance of AI literacy at the board level, and why organizational tribal knowledge remains a critical gap for LLM context. Nirmal Jingar discusses deterministic governance and why wrapping AI in guardrails is essential for production. We explore the need to modernize legacy systems before adding AI, the importance of AI literacy at the board level, and why organizational tribal knowledge remains a critical gap for LLM context.

Key Takeaways:

  • Start with the decision, not the technology, when integrating AI into enterprise systems.
  • Modernizing foundational systems (data, event streams, legacy monoliths) must happen before layering AI on top.
  • LLMs are probabilistic; they require deterministic governance, rules, and validation thresholds to be safe for production.
  • AI literacy is crucial at the board and C-suite levels to ensure budget approvals align with realistic AI ROI and impact.
  • Don't apply the same governance to all AI tools; tailor the threshold based on the criticality of the system (e.g., Tier 1 vs Tier 3).
  • Unwritten organizational "tribal knowledge" is a significant gap in providing accurate context to AI models.

Nirmal Jingar is a Senior Engineering Leader focused on Enterprise AI and Supply Chain Technology. With a decade spent fixing fragile systems, he developed a philosophy of deterministic governance for AI. He is a Forbes Technology Council writer, a TEDx speaker, and sits on advisory boards including Ethical AI and Resilient Coders.

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]]> Wed, 19 Aug 2026 11:30:00 +0000 Qodo Qodo 2600 Nirmal Jingar discusses deterministic governance and why wrapping AI in guardrails is essential for production. We explore the need to modernize legacy systems before adding AI, the importance of AI literacy at the board level, and why organizational tribal knowledge remains a critical gap for LLM context. Nirmal Jingar discusses deterministic governance and why wrapping AI in guardrails is essential for production. We explore the need to modernize legacy systems before adding AI, the importance of AI literacy at the board level, and why organizational tribal knowledge remains a critical gap for LLM context. AI coding, AI coding tools, AI software development, AI agents, Agentic AI, AI code review, AI governance, Enterprise AI, Developer productivity, Code quality No No Building the AI Software Factory https://podcasts.fame.so/e/lnqwk1jn-building-the-ai-software-factory-quality-and-dx-with-amir-rustamzadeh Building the AI Software Factory 0 No No 81nv7pz1 Building a reliable software factory requires more than just generating code. This conversation focuses on the importance of quality assurance and the evolution of developer experience in the era of autonomous agents. Learn how to implement rigorous entry and exit gates to ensure that AI productivity does not come at the cost of technical debt. Building a reliable software factory requires more than just generating code. This conversation focuses on the importance of quality assurance and the evolution of developer experience in the era of autonomous agents. Learn how to implement rigorous entry and exit gates to ensure that AI productivity does not come at the cost of technical debt.

Key Takeaways:

  • The transition from spec-driven development to a model where documentation serves as the primary interface for both humans and agents, 
  • Why the industry historically struggled with testing and how AI presents an opportunity to finally achieve rigorous quality assurance, 
  • Strategies for building a software factory by breaking down the development life cycle into repeatable, governed phases 
  • The importance of setting up strict entry and exit gates for long-horizon agentic tasks to ensure confident outputs 
  • Navigating the build versus buy decision by evaluating the long-term maintenance burden of internal developer tools

Amir Rustamzadeh is a Partner at Firestreak Ventures, a fund focused on the frontier of developer tools and AI infrastructure. He previously spent four years at Cypress, where he founded their developer experience function and created the DX engineer job title. Today, he backs companies like Lovable, Modal, Daytona, and Hayes Labs while maintaining a hands-on approach to agentic engineering.

Episode resources




The Agentic Review is handcrafted by our friends over at: fame.so

]]> Wed, 05 Aug 2026 11:30:00 +0000 Qodo Qodo 2871 Building a reliable software factory requires more than just generating code. This conversation focuses on the importance of quality assurance and the evolution of developer experience in the era of autonomous agents. Learn how to implement rigorous entry and exit gates to ensure that AI productivity does not come at the cost of technical debt. Building a reliable software factory requires more than just generating code. This conversation focuses on the importance of quality assurance and the evolution of developer experience in the era of autonomous agents. Learn how to implement rigorous entry and exit gates to ensure that AI productivity does not come at the cost of technical debt. Agentic engineering, AI code review, Developer Experience (DX), AI software development, Software quality, Engineering leadership, Code quality, AI coding agents, Developer tools, Software factory No No Why AI Control is the New Security Standard https://podcasts.fame.so/e/1n336z2n-ai-control-is-security-standard Why AI Control is the New Security Standard 0 No No m1jp76j1 This episode explores the transition from synthetic data to AI security and explains why visibility into "shadow AI" is the first step toward building a robust control plane. Learn how to steer a fleet of thousands of agents while maintaining low latency and high accuracy in production environments. This episode explores the transition from synthetic data to AI security and explains why visibility into "shadow AI" is the first step toward building a robust control plane. Learn how to steer a fleet of thousands of agents while maintaining low latency and high accuracy in production environments.

Key Takeaways:

  • The critical shift from standard cybersecurity frameworks to AI control and alignment
  • How to utilize synthetic data pipelines to train high-accuracy, low-latency security models
  • Strategies for managing "shadow AI" across the cloud, browser, and no-code tools
  • The impact of the exponential growth in agent-to-agent communication on organizational security
  • Why the "human in the loop" remains the ultimate guardrail for agentic governance

Gil Elbaz is the Cofounder and Chief AI Officer at Onyx Security, where he focuses on the intersection of artificial intelligence and enterprise security. With over 15 years of experience in the machine learning field, he previously served as an AI Architect within the NVIDIA CTO office, working directly on LLM deployment strategies and distributed training for global enterprises. His technical background also includes a five-year tenure as the CTO of Datagen, a role in which he built foundational synthetic data infrastructure. Throughout his career, he has specialized in developing robust machine learning systems for high-stakes environments where accuracy and production-level reliability are critical requirements.

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]]> Wed, 22 Jul 2026 11:30:00 +0000 Qodo Qodo 1964 This episode explores the transition from synthetic data to AI security and explains why visibility into "shadow AI" is the first step toward building a robust control plane. Learn how to steer a fleet of thousands of agents while maintaining low latency and high accuracy in production environments. This episode explores the transition from synthetic data to AI security and explains why visibility into "shadow AI" is the first step toward building a robust control plane. Learn how to steer a fleet of thousands of agents while maintaining low latency and high accuracy in production environments. AI Agent Security, Enterprise AI Governance, AI Guardrails, AI Control Plane, Multi-Agent Systems, Synthetic Data for AI, Large Language Models (LLMs), AI Infrastructure, AI Risk Management, Shadow AI No No Beyond the PR Bottleneck: Scaling Engineering Velocity with AI Governance https://podcasts.fame.so/e/vnwp6px8-engineering-velocity-with-ai-governance Beyond the PR Bottleneck: Scaling Engineering Velocity with AI Governance 0 No No 81x2p2l1 Software engineering pioneer Paul Duvall joins the show to discuss why traditional pull request processes are breaking. This episode delves into quality checks and the development of deterministic guardrails to manage the surge of AI-generated code in enterprise environments. Software engineering pioneer Paul Duvall joins the show to discuss why traditional pull request processes are breaking. This episode delves into quality checks and the development of deterministic guardrails to manage the surge of AI-generated code in enterprise environments.

Key Takeaways:

  • Local optimization of coding speed creates massive pull request bottlenecks downstream.
  • AI agents amplify existing engineering practices, making strong foundations more critical than ever.
  • Centralized rule repositories enable teams to maintain consistent standards across agentic workflows.
  • Deterministic checks and active fixes at the code level prevent issues from reaching production.
  • The unit of review is shifting from individual code lines to the governance frameworks and policies themselves.

Paul Duvall is a software engineering pioneer and Jolt Award-winning author who wrote the definitive textbook on continuous integration. Paul approaches technical leadership with a teacher mindset, emphasizing the simplification of complex concepts to help teams implement high-fidelity feedback loops and automated governance


Episode resources




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]]> Thu, 02 Jul 2026 11:30:00 +0000 Qodo Qodo 2438 Software engineering pioneer Paul Duvall joins the show to discuss why traditional pull request processes are breaking. This episode delves into quality checks and the development of deterministic guardrails to manage the surge of AI-generated code in enterprise environments. Software engineering pioneer Paul Duvall joins the show to discuss why traditional pull request processes are breaking. This episode delves into quality checks and the development of deterministic guardrails to manage the surge of AI-generated code in enterprise environments. AI code review, Agentic AI, Continuous Integration, DevOps, DevSecOps, Software development, AI coding assistants, Engineering leadership, Code quality, Developer productivity No No Software Development Is Still a Team Sport, Even With AI https://podcasts.fame.so/e/4n9m037n-software-development-team-sport Software Development Is Still a Team Sport, Even With AI 0 No No v07r4261 Angie Jones on agentic tools, repo-level guardrails, and building software you can trust. This discussion explores the necessity of tailored tool stacks and why human judgment remains the non-negotiable anchor for scaling quality. Learn how junior developers, robust testing, and team-wide standards integrate into an accelerated AI-driven engineering workflow. Angie Jones on agentic tools, repo-level guardrails, and building software you can trust. This discussion explores the necessity of tailored tool stacks and why human judgment remains the non-negotiable anchor for scaling quality. Learn how junior developers, robust testing, and team-wide standards integrate into an accelerated AI-driven engineering workflow.

Key Takeaways:

  • There is no one-size-fits-all AI tool stack; let engineers explore and evaluate what works for their codebase.
  • In regulated environments, a legal/compliance/security council can review tools quickly without losing rigor.
  • The right human-in-the-loop approach is to encode guardrails into the system itself, like hooks and pre-commit checks.
  • Junior engineers can contribute real customer value quickly when you pair them with agentic tools and real feedback.
  • AI often amplifies existing problems in process and collaboration, so strong engineering standards still matter.
  • Software development is still a team sport, and AI champions can help teams converge on shared practices.

Angie Jones is a software engineer with 27 patents and the first Black woman ever named a Java Champion. She founded Test Automation University, which has trained over 100,000 engineers, and now serves as VP of developer experience at the Agentic AI Foundation. At Block, she led AI enablement and tools, helping roll out AI agents across 12,000 employees.


Episode resources


The Agentic Review is handcrafted by our friends over at: fame.so

]]> Thu, 18 Jun 2026 12:00:00 +0000 Qodo Qodo 2421 Angie Jones on agentic tools, repo-level guardrails, and building software you can trust. This discussion explores the necessity of tailored tool stacks and why human judgment remains the non-negotiable anchor for scaling quality. Learn how junior developers, robust testing, and team-wide standards integrate into an accelerated AI-driven engineering workflow. Angie Jones on agentic tools, repo-level guardrails, and building software you can trust. This discussion explores the necessity of tailored tool stacks and why human judgment remains the non-negotiable anchor for scaling quality. Learn how junior developers, robust testing, and team-wide standards integrate into an accelerated AI-driven engineering workflow. Software Engineering, Agentic AI, Developer Experience, Code Quality, AI Engineering, Testing, Open Source, Governance, Junior Developers, Team Sport No No You're Not a 10x Developer. You're Just Typing Less. https://podcasts.fame.so/e/286qv0yn-Matthew-Makai You're Not a 10x Developer. You're Just Typing Less. 0 No No j12r3yw1 Explore the intersection of software craftsmanship and artificial intelligence with Founder of Plushcap and Creator of Full Stack Python, Matthew Makai. This episode examines the reality of using agentic tools in production and why maintaining your architectural foundation is a critical defense against technical debt. Learn how to stay ahead of market trends while preserving the expertise that makes a great engineer.  Join software developer and educator Matthew Makai for an in-depth exploration of the rapidly shifting landscape of AI-powered engineering. This conversation traces Matt's transition from creating Full Stack Python to founding Plushcap, where he currently tracks hundreds of emerging AI coding tools and identifies market trends before they explode. 

We explore the critical distinction between essential and accidental complexity and why the "read-only-first" planning phase is vital for preventing AI-induced technical debt. Matt shares his personal tandem workflow for using agentic systems to both generate and review code, emphasizing that technical credibility remains the ultimate guardrail against automated errors. 

The discussion also critiques the financial motivations behind current industry marketing and why the narrative of software engineers being replaced by AI is often driven by seat-based licensing models rather than technical reality. By looking back at the history of software development, from the invention of COBOL to the rise of web frameworks, the guest and hosts outline why curiosity and architectural rigor are the most important attributes for engineers in 2026 and beyond.


Key Takeaways

  • The human in the loop still matters. Agentic tools amplify your architecture, good or bad, so engineering judgment doesn't go away
  • Adding a review step to your AI coding workflow (like running codex review alongside Claude Code) can dramatically reduce bugs reaching production
  • Essential complexity doesn't disappear with AI. Understanding what you're building remains the developer's job
  • Teams with strong technical foundations before AI tools are best positioned to benefit from them without the downsides
  • Skepticism is a skill — a lot of the doom and hype around AI replacing developers is marketing, not signal
  • Qodo's context-aware code review with rules as guardrails is how engineering teams turn AI productivity into production-ready quality


Episode resources
 
The Agentic Review is handcrafted by our friends over at: fame.so

]]> Wed, 20 May 2026 12:30:00 +0000 Qodo Qodo 2942 Explore the intersection of software craftsmanship and artificial intelligence with Founder of Plushcap and Creator of Full Stack Python, Matthew Makai. This episode examines the reality of using agentic tools in production and why maintaining your architectural foundation is a critical defense against technical debt. Learn how to stay ahead of market trends while preserving the expertise that makes a great engineer. Explore the intersection of software craftsmanship and artificial intelligence with Founder of Plushcap and Creator of Full Stack Python, Matthew Makai. This episode examines the reality of using agentic tools in production and why maintaining your architectural foundation is a critical defense against technical debt. Learn how to stay ahead of market trends while preserving the expertise that makes a great engineer. AI coding tools, agentic software development, developer productivity, AI code review, software engineering workflows, technical debt management, continuous integration and deployment (CI/CD), developer education, Plushcap , Matthew Makai No No Why Developers Are Sleepwalking Through the AI Revolution https://podcasts.fame.so/e/q80vz7m8-developers-through-the-ai-revolution Why Developers Are Sleepwalking Through the AI Revolution 0 No No p0kn3wk1 In this episode of The Agentic Review podcast, hosts Itamar Friedman and Nnenna Ndukwe are joined by Scott Hanselman, Vice President and Member of Technical Staff at Microsoft, to discuss why reading and understanding code still matters in the age of AI agents, how to avoid the uncanny valley of AI-assisted development, and the key strategies for maintaining engineering standards while scaling productivity. In this episode of The Agentic Review podcast, hosts Itamar Friedman and Nnenna Ndukwe are joined by Scott Hanselman, Vice President and Member of Technical Staff at Microsoft, to discuss why reading and understanding code still matters in the age of AI agents, how to avoid the uncanny valley of AI-assisted development, and the key strategies for maintaining engineering standards while scaling productivity.

Scott, who has been writing code for over three decades, unpacks why “typing code is dying, but sculpting systems is not,” and why the field is deep in its own uncanny valley moment. From the transportation stack analogy to cold code sculpting, brain atrophy, and the myth of the 10x productivity promise, Scott brings his signature blend of wit, lived experience, and uncomfortable truths.

They also dig into what a good AI strategy actually looks like for enterprise teams, why introducing AI into an immature SDLC is “putting a band-aid on cancer,” the surprisingly powerful case for voice dictation in coding workflows, and how accessibility is one of AI’s most underrated breakthroughs.


Key Takeaways

  • Typing code is fading, but the judgment required to build and maintain large systems isn't — that's still a human job
  • AI reflects your SDLC back at you. Introducing it into a broken development process doesn't fix the process, it exposes it
  • Getting to a working prototype is the easy part. Code review, correctness, and regression prevention — the last 20% — is where the real engineering happens, and AI hasn't replaced that yet
  • Don't outsource your thinking to AI. Use it to get sharper, not to think less — one day you'll be coding in airplane mode
  • Voice dictation changes how developers work with AI — clearer intent leads to better output, and it opens up coding to people who couldn't participate before
  • When one team cracks a best practice, Qodo can surface it across the org — turning what used to live in one person's head into standards that scale


Scott Hanselman is Vice President and Member of Technical Staff at Microsoft, bringing over three decades of software engineering expertise to the intersection of developer tools, community, and large-scale systems. Known for his influential voice in how developers build, learn, and ship software, Scott has pioneered conversations around AI-augmented coding experiences across Microsoft and GitHub.

Episode Resources


The Agentic Review is handcrafted by our friends over at: fame.so

]]> Wed, 20 May 2026 12:30:00 +0000 Qodo Qodo 2275 In this episode of The Agentic Review podcast, hosts Itamar Friedman and Nnenna Ndukwe are joined by Scott Hanselman, Vice President and Member of Technical Staff at Microsoft, to discuss why reading and understanding code still matters in the age of AI agents, how to avoid the uncanny valley of AI-assisted development, and the key strategies for maintaining engineering standards while scaling productivity. In this episode of The Agentic Review podcast, hosts Itamar Friedman and Nnenna Ndukwe are joined by Scott Hanselman, Vice President and Member of Technical Staff at Microsoft, to discuss why reading and understanding code still matters in the age of AI agents, how to avoid the uncanny valley of AI-assisted development, and the key strategies for maintaining engineering standards while scaling productivity. Scott Hanselman, Microsoft, AI-augmented coding, developer advocacy, AI software development, code quality and governance, enterprise software engineering, GitHub Copilot, developer productivity, agentic coding workflows No No Closing the Gap: AI Agent Hype and Production Reality https://podcasts.fame.so/e/p8m7kzm8-ai-agent-hype-and-reality Closing the Gap: AI Agent Hype and Production Reality 0 No No 70v568r1 AI agents in production and code quality governance are critical for software engineering leaders. Learn context engineering and 12 factor agents with Dexter Horthy, CEO of HumanLayer. This episode explores hard lessons from the trenches of AI-assisted development and why the industry is swinging back to manual code oversight to save failing architectures. AI agents production and code quality governance are the focus of this discussion with Dexter Horthy, CEO of HumanLayer and author of the 12 Factor Agents manifesto. This episode examines the industry shift from ignoring code to realizing that models struggle with long-term architecture. Dexter shares his journey of rebuilding a product from scratch after discovering that unsupervised AI agents created unmaintainable technical debt.

The conversation provides a framework for context engineering and deterministic memory systems that scale. We analyze why the war on slop is asymmetric and how senior engineers must evolve into system safety architects. Hosts Itamar Friedman and Nnenna Ndukwe lead a deep dive into shifting quality left through design docs and upstream guardrails to ensure sustainable velocity.

Key Takeaways:

  • Unsupervised AI agents don't just write bad code — they silently destroy your architecture until it's too expensive to fix
  • The industry swings between "stop reading code" and "oh no, the codebase is a mess" on a predictable 5-month cycle
  • Generating low-quality code is nearly free; defending against it is expensive — that asymmetry is only getting worse
  • A 200-line design doc before writing code reduces PR rework from 50% to under 5% — the leverage is upstream, not at review
  • Qodo's Rules System captures the institutional knowledge and engineering standards that prevent AI agents from drifting — turning senior engineer judgment into enforceable guardrails at scale

 
Episode resources

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]]> Wed, 20 May 2026 12:30:00 +0000 Qodo Qodo 2793 AI agents in production and code quality governance are critical for software engineering leaders. Learn context engineering and 12 factor agents with Dexter Horthy, CEO of HumanLayer. This episode explores hard lessons from the trenches of AI-assisted development and why the industry is swinging back to manual code oversight to save failing architectures. AI agents in production and code quality governance are critical for software engineering leaders. Learn context engineering and 12 factor agents with Dexter Horthy, CEO of HumanLayer. This episode explores hard lessons from the trenches of AI-assisted development and why the industry is swinging back to manual code oversight to save failing architectures. Dexter Horthy, HumanLayer, AI code review, context engineering, AI software development, agentic workflows, software architecture, AI agents in production, code quality engineering, AI developer tools No No The Agentic Review Trailer https://podcasts.fame.so/e/mn4l7jqn-the-agentic-review-trailer The Agentic Review Trailer 0 No No x06rjz20 The Agentic Review by Qodo is where technology and engineering leadership meet to unpack real-world lessons from teams adopting AI into their workflows, exploring the gap between high-speed AI coding and the importance of building a culture that enables trust and governance in AI software development. Hosted by Qodo Co-founder & CEO Itamar Friedman and AI Developer Relations Lead, Nnenna Ndukwe, the show brings together engineering and AI industry leaders for candid, engineering-first conversations about code quality and human oversight in the era of AI software development. The Agentic Review is handcrafted by our friends over at: fame.so

]]> Thu, 30 Apr 2026 12:32:00 +0000 Qodo Qodo 69 The Agentic Review by Qodo is where technology and engineering leadership meet to unpack real-world lessons from teams adopting AI into their workflows, exploring the gap between high-speed AI coding and the importance of building a culture that enables trust and governance in AI software development. Hosted by Qodo Co-founder & CEO Itamar Friedman and AI Developer Relations Lead, Nnenna Ndukwe, the show brings together engineering and AI industry leaders for candid, engineering-first conversations about code quality and human oversight in the era of AI software development. The Agentic Review by Qodo is where technology and engineering leadership meet to unpack real-world lessons from teams adopting AI into their workflows, exploring the gap between high-speed AI coding and the importance of building a culture that enables trust and governance in AI software development. Hosted by Qodo Co-founder & CEO Itamar Friedman and AI Developer Relations Lead, Nnenna Ndukwe, the show brings together engineering and AI industry leaders for candid, engineering-first conversations about code quality and human oversight in the era of AI software development. No No