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How I Code With LLMs These Days

Honeycomb

Phillip Carter provides guidelines around using LLMs in software development, like paying for Claude, asking for small changes, and more.

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Blogs Honeycomb

BlogsDisposable Code Is Here to Stay, but Durable Code Is What Runs the WorldHoneycomb BlogsICYMI: Is This Code Worth Running? Here’s How to KnowHoneycomb BlogsHow We Saved 70% of CPU and 60% of Memory in Refinery’s Go Code, No Rust Required.Honeycomb BlogsHappy Birthday to Us: Honeycomb 10 Year Manifesto, Part 1Honeycomb BlogsObservability with AI? Honeycomb with AI!Honeycomb BlogsHoneycomb Releases Second Edition of Bestseller Observability Engineering to Redefine the PracticeHoneycomb EventsCloud Security Trends & Challenges: Complete GuideCybersecurity Exchange BlogsPivoting Your Career Without Starting From ScratchSmashingmagazine ResearchAdaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?Cohere ResearchElo Uncovered: Robustness and Best Practices in Language Model EvaluationCohere Blogs3 Software Developer Trends You’ll Hear About at DockerConDocker BlogsUpdate on the Docker DX extension for VS CodeDocker BlogsUsing Docker AI Tools for Devs to Provide Context for Better Code FixesDocker BlogsPreventing infrastructure abuse with Vercel FirewallVercel BlogsLearning JavaScript with Free Code CampNetlify BlogsWhat Is Observability? Key Components and Best PracticesHoneycomb BlogsBuilding a News App with Replit Agent: A Step-by-Step Guide - NeonNeon BlogsSix Principles for Production AI Agents - NeonNeon BlogsTiny Screens, Big Impact: The Forgotten Art Of Developing Web Apps For Feature PhonesSmashingmagazine BlogsClaude Code vs. Cursor: Which is best? [2026]Zapier