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Fireship: Software and AI News

A dated collection of Fireship's regular videos published from 20 April through 20 October 2026, with individual English summaries. Covers software, AI, and technology news. The summaries distinguish technical explanations from reported claims, subjective demonstrations, predictions, satire, and sponsorships. This is an editorial selection from the channel's uploads, not an official course or a summary of its full archive.

Fireship

14 summaries on this page

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Andrew Ng on Coding Agents and Deciding What to Build

Andrew Ng explains an AI engineering skills map, why engineering fundamentals help developers steer coding agents, and how direct customer feedback expands their role in product decisions. He recommends adapting planning depth to project stage and risk, and distinguishes completing work with AI from learning. Practitioner guidance and attributed research claims, not a comparative productivity study.

Supabase Library · Source dated 12 Oct 2026

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Where’s the Beef? Blackstone's Jon Gray on the Payoff From the Enormous AI CapEx Spend | Sept '26

Jon Gray argues that returns from AI adoption will sustain demand for chips, power, and data centers. He cites Blackstone portfolio-company examples, distinguishes today's contracted demand from historical infrastructure overbuilding, and discusses disruption and investment risks. A capital allocator's investment thesis with first-party performance claims and forecasts, not independent proof that aggregate AI capital expenditure will pay off.

Blackstone · Source dated 20 Sept 2026

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podcast Coding

Orbs: Shifting Coding to Cloud — Quinn Slack, Amp Code

Quinn Slack discusses cloud sandboxes for parallel agent work, staged production migrations with log monitoring, short-lived read-only credentials, and agent-customizable internal apps. Includes a debate over whether agent-run tests can replace CI and Amp's no-mandatory-review policy. First-party experience and forecasts, not comparative security or reliability evidence.

Latent Space · Source dated 7 Sept 2026

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Matt Pocock: The Most Valuable Skill to Learn in the Age of AI

Matt Pocock discusses design interviews, shared domain language, and improving the code and feedback available to agents. His video-editor case contrasts a spec-centered workflow that failed for him with renewed attention to maintainability and browser access. Includes primary-source learning and gradual delegation. Practitioner experience, not controlled comparisons; based on a recovered English transcript with unverified caption kind.

Nate Herk | AI Automation · Source dated 16 Oct 2026

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How Amp Builds Amp: Quinn Slack at Paradigm Frontiers 2026

Quinn Slack describes Amp's use of agents for design alternatives, frame-by-frame verification, small evaluations, feature-flag monitoring, and support follow-up. He argues for replacing pull-request review with shared agent threads and organizing a small team around common tooling. First-party practices, reported metrics, and organizational opinions, not comparative safety or productivity findings.

Amp, Inc. · Source dated 15 Oct 2026

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