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<div style="display: none; max-height: 0px; overflow: hidden;">AI is unlikely to cause mass layoffs in software engineering because the profession relies on a "decide-execute-deliver" workflow </div>
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<h1><strong> TLDR Dev <span id="date">2026-06-15</span></strong></h1>
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<h1><strong>Articles & Tutorials</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fplanetscale.com%2Fblog%2Fthe-only-scalable-delete%3Futm_source=tldrdev/1/0100019ecaf8fa4d-b02e8e3d-338a-4cf6-b440-c703b809ec96-000000/BETu-YtlyQCRqyxQotBxDj91cVu-ezaawJcHOwF9JJY=452">
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<strong>The only scalable delete in Postgres is DROP TABLE (5 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Large Postgres DELETEs add work rather than reclaim it. They leave dead tuples, add replication overhead, and don't return disk space, while DROP TABLE and TRUNCATE remove files directly and scale independently of data size. It's best to structure your schema so bulk deletion becomes a DROP or TRUNCATE.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.janestreet.com%2Fformal-methods-at-jane-street-index%2F%3Futm_source=tldrdev/1/0100019ecaf8fa4d-b02e8e3d-338a-4cf6-b440-c703b809ec96-000000/V_vvUFA9h-MkZVBpdMG1v7kbGOmHO_UkySil9ENwdXk=452">
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<strong>Formal methods and the future of programming (10 minute read)</strong>
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Formal methods are techniques that model software as mathematical entities to provide rigorous, proof-based guarantees of correctness rather than relying on standard testing. The rise of agentic coding is now shifting the cost-benefit analysis for these methods, making them an increasingly accessible tool for verifying AI-generated code, whereas before they were too expensive to consistently use.
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<strong>Slightly reducing the sloppiness of AI generated frontend (2 minute read)</strong>
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Creating attractive frontends with AI usually leads to “slop”-looking generations. However, asking AI to produce styles as a “Qt app” ends up removing the frontend AI-generated “code smells.”
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<h1><strong>Opinions & Advice</strong></h1>
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<strong>A frontier without an ecosystem is not stable (4 minute read)</strong>
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The transition to an AI-driven economy requires a cognitive loop where human capital and token capital compound to create unique institutional value. To maintain sovereignty, firms must build private learning loops that encode their domain expertise into agentic systems that improve with each use.
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<strong>No, everyone is not using AI for everything (4 minute read)</strong>
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Contrary to the narrative that "everyone is using AI for everything," recent data shows that AI adoption has actually slowed down, with public sentiment turning increasingly skeptical. Real-world usage and survey data show that the US population is roughly split into thirds: one-third actively use AI, one-third use it occasionally, and one-third never use it.
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<strong>Don't trust large context windows (3 minute read)</strong>
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LLMs have a reliable "smart zone" that typically degrades into a "dumb zone" once input exceeds approximately 100,000 tokens. Although developers market context windows reaching into the millions, performance studies show that effective attention is only a small fraction of those advertised figures.
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<strong>Win The AI & Tech Sandbox global hackathon and get up to $500K to fund your project. Have you signed up yet? (Sponsor)</strong>
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The best ideas usually start as side quests. PMG's AI & Tech Sandbox is hosting its <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fevents.pmg.com%2Fai-and-tech-sandbox-hackathon%2F%3Futm_source=newsletter%26utm_medium=paidsocial%26utm_campaign=hackathon_registration%26utm_content=newsletter1/2/0100019ecaf8fa4d-b02e8e3d-338a-4cf6-b440-c703b809ec96-000000/VdDZTBSeyaw_KcunMCfHZcmaBagxD9KaIkIZaNibrMI=452" rel="noopener noreferrer nofollow" target="_blank"><span>first global hackathon</span></a>. The winners get up to $500K to fund their solution and see it used by leading brands. Join from anywhere, build your reputation, and shape how humans and AI create together. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fevents.pmg.com%2Fai-and-tech-sandbox-hackathon%2F%3Futm_source=newsletter%26utm_medium=paidsocial%26utm_campaign=hackathon_registration%26utm_content=newsletter1/3/0100019ecaf8fa4d-b02e8e3d-338a-4cf6-b440-c703b809ec96-000000/DfOMo35XccJFow919gyXsP6QUIc-AF0tU_MeB04Vjpc=452" rel="noopener noreferrer nofollow" target="_blank"><span>Register by June 19</span></a>
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<strong>Ponytail (GitHub Repo)</strong>
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Ponytail is a development tool that increases AI agent efficiency by prioritizing minimal, native code over over-engineered solutions. It integrates with major developer environments to reduce code bloat, lower execution costs, and help manage technical debt.
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<strong>SQL to ER Diagram (Website)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Paste a SQL schema and instantly generate a clean, interactive ER diagram.
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<strong>Kage (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Kage is an open-source tool for creating high-fidelity, script-free mirrors of websites for permanent offline browsing. The tool uses a headless browser to capture the final rendered state of a page, making sure all visual elements are preserved while removing tracking scripts and external dependencies.
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<div style="text-align: center;"><span style="font-size: 36px;">🎁</span></div></div>
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.normaltech.ai%2Fp%2Fwhy-ai-hasnt-replaced-software-engineers%3Futm_source=tldrdev/1/0100019ecaf8fa4d-b02e8e3d-338a-4cf6-b440-c703b809ec96-000000/mqCpbAItnlYjax4QqdNKxJP6tW0_AnVpSeKJYqfCm4Q=452">
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<strong>Why AI hasn't replaced software engineers, and won't (23 minute read)</strong>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
AI is unlikely to cause mass layoffs in software engineering because the profession relies on a "decide-execute-deliver" workflow where only the middle execution phase is automated. Recent high-profile job cuts attributed to AI are frequently the result of financial pressures or pandemic-era over-hiring rather than actual technological displacement.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fyusufaytas.com%2Fvibe-coder-vs-software-engineer%3Futm_source=tldrdev/1/0100019ecaf8fa4d-b02e8e3d-338a-4cf6-b440-c703b809ec96-000000/CYd5h8GJ-f3LmrK6pTOKak5Zwq3MqHPwxGwbignGW9E=452">
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