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The Pragmatic Engineer surfaced this piece in its July 23, 2026 edition, The Pulse: Quitting Spotify Podcasts over reliability. Gergely Orosz describes moving his podcast’s video distribution off Spotify after four serious failures in roughly two months. Spotify will still receive the audio through an external RSS feed, but YouTube becomes the destination for video.

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The Pragmatic Engineer surfaced this piece in its July 15, 2026 podcast episode, Context engineering with Dex Horthy. Gergely Orosz’s conversation with the HumanLayer cofounder is nominally about giving language models better context, but its deeper subject is how software teams can use coding agents without losing control of the systems those agents modify.

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The Pragmatic Engineer surfaced this July 9, 2026 story in Gergely Orosz’s The Pulse: What can we learn from Bun’s rapid Rust rewrite with AI?. The concrete source is Bun creator Jarred Sumner’s detailed account, Rewriting Bun in Rust, which explains how one engineer used Claude Code and a prerelease Claude Fable 5 model to port Bun’s JavaScript runtime from Zig to Rust in 11 days.

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The Pragmatic Engineer surfaced this July 9, 2026 piece in Gergely Orosz’s post, The Pulse: Interesting AI coding stats from Cursor. The concrete source behind the post is Cursor’s Developer Habits Report, which turns aggregated Cursor usage into one of the clearer public snapshots yet of how AI coding is changing real development work.

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The Pragmatic Engineer surfaced this July 7, 2026 report, Tech jobs market in 2026, part 3: hiring managers & job seekers. Based on conversations with more than 50 hiring managers, engineers, and engineering leaders, Gergely Orosz argues that the software job market has become stranger than the aggregate data suggests: hiring teams say they cannot find the right people, while experienced candidates say they cannot get seen at all.

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The Pragmatic Engineer surfaced this piece in Gergely Orosz’s June 30, 2026 field report, Impressions from visiting OpenAI, Anthropic, & Cursor. Based on recent visits to all three San Francisco offices, the article argues that software engineering’s next AI shift is not just better code completion. It is the move from local assistants toward cloud-based agents that can run for hours or days, keep working after a laptop session ends, and turn software work into a delegated, monitored process.

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The Pragmatic Engineer surfaced this piece in Gergely Orosz’s June 23, 2026 essay, Slow down to speed up: so much has changed in 6 months’ time. Based on his Craft Conference keynote and reporting across AI labs, large technology companies, startups, and traditional enterprises, the article argues that software development has crossed an important threshold: coding agents can now generate changes faster than many teams can review, understand, and safely absorb them.

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The Pragmatic Engineer surfaced this piece in its June 17 episode, CI/CD with Robert Erez, a conversation between Gergely Orosz and Octopus Deploy principal engineer Robert Erez about how modern teams ship software safely.

The episode’s central argument is that deployment practice should optimize for recoverability and control, not for maximal automation. Continuous deployment—sending every successful change directly to production—is useful in some environments, but continuous delivery is often the more practical goal. A team can keep every change tested and ready to release while retaining a deliberate production gate when its risk profile demands one.

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The Pragmatic Engineer surfaced this June 16, 2026 deep dive in Gergely Orosz’s post, Why is Meta destroying its engineering organization?. The piece argues that Meta’s AI push has stopped being only a product strategy and has become an internal operating shock: engineers are being measured, reassigned, and reorganized around model training in ways that may be damaging the culture and reliability systems that made the company successful.

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The Pragmatic Engineer surfaced this May 27, 2026 podcast episode, and the original episode page is Building OpenCode with Dax Raad.

Open source becomes the product wedge

The episode is interesting because OpenCode is not framed as another AI coding tool trying to win by having slightly better prompts or a slicker interface. Dax Raad’s account is more strategic: OpenCode saw that no one had clearly claimed the open-source AI coding harness category, then moved hard into that position. In a market crowded with proprietary agents, wrappers, IDEs, and model-specific workflows, that positioning gave developers a simple reason to care.