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AI Workflows - Page 9
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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David OndrejMarkdown Is More Valuable Than Code: Rethinking SDLC for Agentic Workflows
A consultancy argues the future of engineering is markdown over code. Structured context, not agent speed, determines productivity. The tradeoff: more…
AI EngineerAgent safety moves from models to runtime-level governance
Agent intelligence is almost solved. The real challenge is safely granting dynamic, scoped access at runtime. Docker’s new runtime aims to provide that, but…
AI EngineerYour fine-tuned model is tech debt: one team's $12M lesson
Fine-tuned models can generate massive revenue while quietly accumulating tech debt. One team's $12M LLM app took a week per fix cycle. Switching to agentic…
AI EngineerAgent automation: the real lesson is evaluation, not model selection
A single Hugging Face engineer replaced manual outreach with an agent workflow. The real signal? Evaluation matters more than the model. And he doesn't tell…
AI EngineerWhy one engineer with a compounding system beats your AI team
One engineer shipping a full email client alone. The secret: a compounding system that learns from every interaction. But the discipline required is higher…
AI EngineerYour AI agents need an IT department. Here is the operating manual.
Agent safety is the next bottleneck. Decawork's CEO makes the case for treating AI agents as managed workers with identity, policy gates, and audit—not smart…
IBM TechnologyDon't Choose Between Rules and Agents; Use Both in Sequence
Business rules handle the 80% of predictable decisions. AI agents tackle the messy cases rules can't anticipate. The real engineering challenge is designing…
Cole MedinDeepSeek's plugin-based coding agent: flexibility over polish, but at what cost?
DeepSeek's new open-source coding agent harness is built on plugins, offering full control over the agent loop. It's promising but rough—teams must weigh…
AI EngineerSynthetic data for healthcare AI: reverse inference, let clinicians own the pipeline
Anterior's synthetic data pipeline for healthcare AI: reverse the inference workflow, sample from symbolic policy trees, and let clinicians own the…
AI EngineerVertical AI's real moat isn't tech—it's domain experts you hire
You can build an AI agent in minutes. But making it work in finance or pharma requires domain expertise that no model has. The path: hire the user, embed…
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