What if writing code isn’t actually the most important part of engineering?

In this episode of Futureproof, Prakash Chandran sits down with Aleksander Hakestad, CTO and co-founder at Apart Tech, to explore what it really takes to build software in an AI-native world without losing quality, craft, or control. Aleksander explains why the best leaders stay hands-on so they can evaluate quality, why depth of expertise beats climbing the career ladder, and why communication becomes the true bottleneck in modern engineering—especially across cultures and teams. Together, they unpack a pragmatic model for AI-assisted development where agents touch everything, humans own the architecture, and teams learn fast by setting clear standards, building tight feedback loops, and committing fully to a new way of working.

Topics covered include:

• AI-assisted development is still engineering: Why prompting is only the start—and disciplined iteration is what makes it reliable.
• Hands-on leadership and quality control: Why leaders must stay close enough to the craft to evaluate output and set the bar.
• Communication as the real bottleneck: How visual systems reduce misalignment across teams, languages, and cultures.
• From big teams to small, leveraged teams: How agentic workflows can create outsized throughput with a small core team.
• Depth over titles: Why mastering a domain matters more than career climb—and why expertise is more valuable than ever.

Episode ID: 18740056-ai-development-isn-t-an-easy-button-with-aleksander-hakestad-apart-tech

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From Xano - The fastest way to create a production-ready backend for any app or agent. Xano unifies AI speed, code control, and visual clarity, so you never trade reliability for velocity. Sign up for free today.

What if your biggest AI advantage isn’t a model—it's how fast your team can learn together?

In this episode of Futureproof, Prakash Chandran sits down with Alfonso Quijano, CTO of Lean Solutions Group, to explore how Lean is becoming AI-ready by turning learning into a team sport. Alfonso explains how they create space for engineers to test new tools, teach each other what works, and build a culture where mentorship and experimentation fuel weekly shipping. Together, they unpack why speed comes from clarity and collaboration—not just new technology—and how leaders can design habits that help teams adopt AI confidently while staying grounded in real outcomes.

Topics covered include:

• Shared learning loops: How Lean creates internal sessions where engineers teach each other new tools and workflows.
• Weekly shipping as culture: Why fast MVP cycles and rapid iteration compound learning across teams.
• Hands-on leadership: How Alfonso builds trust by working alongside engineers and reinforcing experimentation.
• Tool experimentation with discipline: How Lean tests new vendors quickly while making deliberate long-term platform choices.
• Clarity over tooling: Why product thinking and communication—not shiny tech—ultimately determine velocity.

Episode ID: 18656694-building-an-ai-ready-team-with-alfonso-quijano-lean-solutions-group

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From Xano - The fastest way to create a production-ready backend for any app or agent. Xano unifies AI speed, code control, and visual clarity, so you never trade reliability for velocity. Sign up for free today.

What qualities matter most for builders in an AI-native world?

In this episode of Futureproof, Prakash Chandran sits down with Karthik Puvvada (KP), Head of Community at Netlify, to explore how artificial intelligence is reshaping creation, careers, and community-driven growth. KP explains why the industry is moving away from rigid “developer vs. non-developer” labels toward a new divide of high-agency vs. low-agency builders, how AI is becoming a tutor and force multiplier, and why shipping real projects matters more than passive learning. Together, they make the case that we are entering an era of personal software, faster experimentation, and community flywheels where champions and curiosity determine who wins.

Topics covered include:

• High-agency builders: Why initiative and ownership now matter more than traditional credentials.
• AI as a learning engine: How models collapse skill gaps and accelerate cross-functional work.
• Shipping over tutorials: Setting concrete goals that force real-world iteration.
• Community as growth: Champion programs, authenticity, and “show, don’t tell” storytelling.
• The rise of personal software: Why n=1 apps may define the next wave of creation.

Episode ID: 18573101-high-agency-builders-personal-software-and-the-rebirth-of-developers-karthik-puvvada-netlify

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From Xano - The fastest way to create a production-ready backend for any app or agent. Xano unifies AI speed, code control, and visual clarity, so you never trade reliability for velocity. Sign up for free today.