LinkedIn: https://www.linkedin.com/in/rbelkin/
🔁 In the second half we go deep on:
• The text “data wall”
• Synthetic data loops as the next defensibility wave
• Why the future is about reliability — the march toward more “9s”
🎧 Full episode:
🔁 In the second half we go deep on:
• The text “data wall”
• Synthetic data loops as the next defensibility wave
• Why the future is about reliability — the march toward more “9s”
🎧 Full episode:
📊 Internal “investment decks” can force:
• Real upside
• Risks
• Kill conditions
• Alignment
Good decks protect teams from drift, disbelief, and process theater.
They keep the hard conversations up front.
📊 Internal “investment decks” can force:
• Real upside
• Risks
• Kill conditions
• Alignment
Good decks protect teams from drift, disbelief, and process theater.
They keep the hard conversations up front.
🛠️ Engineering is shifting fast:
• Less raw coding
• More tooling + data + orchestration
• Higher research literacy
• Curiosity as a hiring superpower
We also talk about Gen Z: outcome-driven, allergic to corporate vagueness, raising the bar on clarity.
🛠️ Engineering is shifting fast:
• Less raw coding
• More tooling + data + orchestration
• Higher research literacy
• Curiosity as a hiring superpower
We also talk about Gen Z: outcome-driven, allergic to corporate vagueness, raising the bar on clarity.
🚀 My approach:
• Write the future like a short sci-fi story
• Make it vivid enough that you can feel using it
• Work backwards and break every assumption
Concrete futures force clear thinking. You can’t BS yourself when the vision is visceral.
🚀 My approach:
• Write the future like a short sci-fi story
• Make it vivid enough that you can feel using it
• Work backwards and break every assumption
Concrete futures force clear thinking. You can’t BS yourself when the vision is visceral.
🧭 In an AI + agents world, specs and decision docs become the real ground truth.
If your spec is wrong, the agent will scale that wrongness across every workflow.
This shifts how teams design, review, and reason about systems.
🧭 In an AI + agents world, specs and decision docs become the real ground truth.
If your spec is wrong, the agent will scale that wrongness across every workflow.
This shifts how teams design, review, and reason about systems.