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Developer Tooling - Page 15
Tools that change how teams build, review, and ship. Curated tldw.news briefings about developer tooling, with practical engineering takeaways from long-form AI and developer-tool videos.
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Page 15 of 27
Theo - t3․ggWhy Automation Skills Are Now Your Team’s AI Multiplier
Automation skills are back as top leverage for AI-augmented teams. Encoding domain knowledge into configs can multiply agent output and accelerate onboarding.
AI JasonOrchestrator-Worker Architecture Cuts Token Cost 35%
Using a strong planner and cheap executor with persistent sessions cuts token costs ~35%. Native agent teams support it; cross-tool hacks are fragile.
InfoQWorkflows Don’t Make Agents Safer—Steering Hooks Do
Workflows might be holding your agents back. AWS’s Clare Liguori shows why model-driven agents with steering hooks outperformed rigid pipelines.
AI EngineerYour Auth is Broken for Agents. Fix It Now.
Auth fails agents: broad permissions and non-determinism are security time bombs, demanding fine-grained, dynamic controls.
AI EngineerRealistic Evals, Not Benchmark Scores, Gate Your AI Agents
Lyft’s team shows how realistic offline simulation and validated, actionable LLM judges create a production safety net for AI agents, not just a score.
AI EngineerGraph Design Cut AI Tool Calls 40% in Code Search
A 40% drop in AI code-search tool calls wasn't from better models—it came from graph algorithms. But only if you build the graph right.
AI EngineerAI Model Quality Is Table Stakes—UX Now Decides Adoption
Many AI features fail because users don't trust them. This talk breaks down the UX patterns—citations, transparency, control—that can make or break adoption.
Theo - t3․ggFable 5 vs GPT-5.6: The Real Cost Is Merge Debt
Two top AI coding models, two opposite tradeoffs: cost vs merge quality. Fable 5 is the premium plan, Soul the fast executor. Here's when to use each.
AI EngineerLoops Won’t Replace Your Engineers—Unless You Let Them
Loops promise speed but demand discipline: verification gaps, cost, and code rot threaten to undercut the hype. Pragmatic teams start small.
David OndrejManaging AI Agents, Not Just Using Them
An AI engineer uses an agent manager and adversarial code review catching 63% of AI-generated changes—a shift in how teams should design AI workflows.
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