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BUILDING

Learn about development practices, technical implementation, and building robust products.

The Cyborg Executive

Adam Ben-David

Embrace the 'Cyborg' model: augment human capabilities with AI for optimized software development outcomes

Feb 19, 2026 · 8m 24s

The Research Revolution

Adam Ben-David

Reinforce research in R&D: Dedicate teams for continuous discovery, foster an open-source model, and actively integrate AI in research.

Feb 19, 2026 · 6m 23s

From Prompt Engineering to Context Engineering

Adam Ben-David

Harness AI's ability with context engineering and bespoke tooling for optimal software development performance

Feb 19, 2026 · 6m 33s

Privacy, Security & The Future of Federated AI

Chong Shen Ng

Balance privacy with utility in Federated AI: adopt additional privacy-enhancing technologies, manage privacy-utility trade-offs, and control model access

Feb 10, 2026 · 6m 23s

Bringing the Model to the Data

Chong Shen Ng

Adopt federated AI: enhance data privacy, leverage local context, and fine-tune models for industry-specific insights

Feb 10, 2026 · 8m 18s

CODE REVIEW AT AI SPEED

Maciej Korolik

Integrate AI in code review: use AI for meticulous checks, automate changelogs, and separate tasks among coding agents

Jan 15, 2026 · 7m 25s

Developer Community and Technical Architecture

Bobak Tavangar

Invest in quality data and harness AI power: dive deeper on data understanding, optimize systems for recall, and leverage AI for intelligence extraction

Jan 14, 2026 · 9m 5s

Hardware Software and AI Embodiment

Bobak Tavangar

Combine hardware-software approaches, integrate AI for enhancing user experiences, and develop discerning buying decisions in AI-assisted software development.

Jan 14, 2026 · 6m 31s

Open Source and the AI Coding Reality Check

Bobak Tavangar

Embrace AI discerningly: Foster deep-rooted open-source movement and ensure thorough understanding of AI-built systems

Jan 14, 2026 · 7m 22s

The Contrarian Vision Why AI Glasses Not VR Graphics

Bobak Tavangar

Leverage AI in wearable tech for real-world understanding and privacy, not graphic simulations

Jan 14, 2026 · 5m 34s

FIGMA TO CODE IN MINUTES

Maciej Korolik

Optimize design to code translation: adopt AI-tools and ensure well-structured, clear design files for enhanced efficiency

Dec 17, 2025 · 7m 2s

BUILD AI TOOLS, NOT SAAS

Maciej Korolik

Leverage AI-first development: Build bespoke, efficient internal tools faster and maintain them with evolving documentation and shared best practices

Dec 17, 2025 · 6m 19s

HUMAN-IN-THE-LOOP BEATS VIBE CODING

Maciej Korolik

Integrate 'human-in-the-loop' planning in AI-assisted software development for quality control and code comprehension

Dec 17, 2025 · 6m 35s

WHEN SPEED BREAKS SOFTWARE - FAST TEAMS, FRAGILE SYSTEMS

Zbigniew Sobiecki

Navigate the AI 'Velocity Paradox': balance rapid feature development with system complexity management

Dec 16, 2025 · 5m 29s

BUILDING WITH INFINITE EXPERTS - THE AGE OF INFINITE TEAMS

Zbigniew Sobiecki

Reimagine software development: integrate AI as team members, prioritize judgment over skills, and champion exploration over convention

Dec 16, 2025 · 6m 14s

DESIGNING DETERMINISM IN AI - HOW AI BECOMES PREDICTABLE

Zbigniew Sobiecki

Embrace context engineering: manage chaotic AI systems through contextual cues to drive predictable outcomes

Dec 16, 2025 · 5m 5s

IS CODING ABOUT TO DIE? - HOW ARE PROGRAMMING JOBS TRANSFORMING

Krzysztof Zablocki

Harness AI to supercharge your workflow: Speed up testing, encourage language learning, and evolve team structures for efficiency.

Dec 16, 2025 · 7m 4s

DESIGNING CONTROL AROUND AI - HOW TO MAKE AI CODE RELIABLE?

Krzysztof Zablocki

Master control over AI chaos: Delegate coding to AI, focus on system design, and establish deterministic checks for reliability and efficiency

Dec 16, 2025 · 6m 9s

CONTEXT ENGINEERING FOR BETTER AI - CONTEXT IS THE NEW PROMPT

Krzysztof Zablocki

Harness context engineering: control AI model's context for cleaner coding and progressive task disclosure for efficiency gains.

Dec 2, 2025 · 5m 30s

Prompts Are Code: The New Version Control Challenge

Oji Udezu

Operationalize prompts: version them, test for drift, and treat changes like code releases.

Sep 29, 2025 · 0m 20s

AI at the Core vs AI at the Edge

Oji Udezu

Move AI from edge to core: make models the primary logic layer, with code orchestrating prompts, tools, and safeguards.

Sep 29, 2025 · 0m 29s

Delegate Work to Silicon: The New Development Paradigm

Oji Udezu

Automate outcomes, not steps: hand full jobs to AI where possible so products deliver finished work rather than dashboards.

Sep 29, 2025 · 0m 29s

From Edge to Core: The AI-Native Revolution

Oji Udezu

Rebuild around models: treat LLMs as programmable building blocks and redesign systems for probabilistic behavior.

Sep 29, 2025 · 6m 30s

The New Development Stack: Four Layers of AI Abstraction

Chris Rickard

Adopt the new stack: UserDoc for requirements → V0 for prototypes → export code → Cursor/Windsurf to finish the last 20%.

Sep 29, 2025 · 0m 23s

The Hidden Orchestration: 5,000 AI Interactions for 70 Features

Chris Rickard

Expose the hidden work: orchestrate thousands of AI calls behind simple UX, with monitoring to ensure reliability at scale.

Sep 29, 2025 · 0m 26s

The 40% Production Code Threshold: Where AI Contribution Plateaus

Chris Rickard

Expect ~40% AI‑written code in production: keep human ownership of architecture, enforce reviews and tests, and reserve complex logic for engineers.

Sep 29, 2025 · 0m 26s

Build vs Buy Becomes Meld: The Hybrid Architecture

Steve Brown

Combine buy and build: wrap third‑party models with your logic and UX, and write code only where it compounds advantage.

Sep 29, 2025 · 0m 19s

From Databases to Digital Employees: The New Build Target

Steve Brown

Design digital employees: specify goals, permissions, tools, and escalation rules instead of database tables and forms.

Sep 29, 2025 · 0m 28s

The 10x Productivity Paradox: Build More, Not Fire People

Steve Brown

Use AI gains to out‑ship competitors: keep teams intact, raise throughput goals, and funnel the 10× lift into more experiments, features, and customer value.

Sep 29, 2025 · 0m 20s

From Hexadecimal to Human Intent: The Final Abstraction Layer

Steve Brown

Build from human intent: move beyond code to directing digital employees, defining roles, guardrails, and desired outcomes.

Sep 29, 2025 · 3m 24s