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AI Workflows - Page 46
How engineering teams turn AI tools into repeatable work. Curated tldw.news briefings about ai workflows, with practical engineering takeaways from long-form AI and developer-tool videos.
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Latent SpaceThe Feedback Loop Is the Moat
Trajectory.ai productizes continual learning by capturing user corrections to auto-fine-tune models, signaling a shift from static to adaptive AI.
Theo - t3․ggAI Makes Shallow All-in-One Platforms a Strategic Play
AI slashes feature-build cost, making it viable to compete with sprawling SaaS by building shallow-but-broad platforms. The tradeoff: breadth replaces depth.
FireshipThe SQLite Fork That Knows Your AI Stack Needs Concurrency
Two experts are rewriting SQLite in Rust to add concurrency and vector search while keeping API compatibility. Deterministic simulation testing is key to trust.
IBM TechnologyThe bot web is here; the ad model isn't ready
AI agents now drive 57% of web requests, threatening ad-funded content. Plus, Microsoft’s new frontier model bets on legal safety over raw capability.
Google for DevelopersGemma 4 and the AI Edge Gallery: On-Device AI Gets an Upgrade
A short briefing on the practical engineering implications, trade-offs, and claims worth ignoring.
David OndrejMatt Pocock’s Agentic Engineering Workflow (just copy him)
A short briefing on the practical engineering implications, trade-offs, and claims worth ignoring.
Theo - t3․ggStop Prompting. Start Designing the Loop.
One engineer's psychological pivot from 'prompting agents' to 'designing loops that prompt agents' reveals a massive arbitrage in subscription-tier pricing. They landed 4 stacked PRs overnight with dynamic, self-reviewing workflows—and couldn't even hit their rate limit.
Google for DevelopersGemma Playground: AI Edge Gallery
A short briefing on the practical engineering implications, trade-offs, and claims worth ignoring.
AI Jasonwtf is Loop Engineer & how to setup for real
A short briefing on the practical engineering implications, trade-offs, and claims worth ignoring.
AI EngineerThe Production AI Playbook: Deploying Agents at Enterprise Scale — Sandipan Bhaumik, Databricks
A short briefing on the practical engineering implications, trade-offs, and claims worth ignoring.
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