For software engineers ready to level up. Learn from CTOs, principal engineers, and tech leaders about the skills beyond coding: from technical mastery to product thinking and career growth. Created by Patrick Akil
Episodes
19 Aug 2026
AI's evolution and challenges are explored through agentic systems like Amazon's Nova, model routing inefficiencies, simulated learning, enterprise tool integration, dynamic benchmarks, and the balance between specialized and generalized models.
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12 Aug 2026
"AI's impact on software engineering, design, and personalization - challenges, ethics, and future trends in automation, workflows, and human-AI collaboration."
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5 Aug 2026
"Focuses on problem-solving, career growth, adaptability, and proactive communication, emphasizing hands-on learning, personal branding, and strategic decision-making in tech."
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29 Jul 2026
Software engineering faces scaling challenges, AI integration, and cultural shifts, balancing productivity, verification, observability, and autonomy while measuring outcomes and adapting to AI's broader impact.
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22 Jul 2026
"Explores software engineering challenges like cost management, refactoring, and AWS expertise, emphasizing team collaboration, agile cultures, and AI-assisted workflows while advocating for balanced skills and human-driven problem-solving."
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15 Jul 2026
"Career growth, overcoming imposter syndrome, and adapting to AI-driven trends in software engineering are explored, emphasizing problem-solving, meritocracy, collaboration, and lifelong learning."
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9 Jul 2026
The text discusses shifting from informal coding to structured "vibe engineering" by combining AI agents with explicit rules and automation, addressing LLM limitations, cultural shifts toward adaptability, emerging tools like Fable, and challenges like cognitive overload and inequity in adopting evolving human-AI collaboration practices.
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1 Jul 2026
Critiques of AI agents' reliability and autonomy, Nebius' GPU-driven infrastructure challenges, specialized hiring for AI optimization, debates on algorithmic interviewing, risks of unvalidated AI code, and the shift toward human accountability and systems thinking in engineering.
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24 Jun 2026
The 2026 job market sees tech layoffs and declining demand for traditional roles, yet persists in hiring for AI/software engineering, while non-tech fields like caregiving offer opportunities, emphasizing reskilling, AI literacy, and strategic personal branding via platforms like LinkedIn to navigate hiring paradoxes and stand out.
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17 Jun 2026
Automation and generative tools are diminishing manual coding in software development, shifting focus to high-level conceptual design and abstraction, with human oversight remaining critical for complex decisions and structured specifications, despite challenges in reviewing auto-generated code and maintaining comprehensive specs via Spec-Driven Development (SDD).
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