Articles, one at a time.
Every piece cites primary sources and adds something you can act on: a worked example, a tested command, a documented limitation. Drafts that only summarize what already exists stay unpublished.
LiteLLM Rust Gateway Benchmarked: Fast and Tiny, but Not Yet a Python Proxy Replacement
LiteLLM's Rust gateway reduces forwarding latency and memory use in controlled benchmarks, but feature gaps and routing-quality risks limit the case for migration.
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Modal Serverless GPUs in Production: Cold Starts, Concurrency, and Costs
Modal's serverless GPUs can reduce costs for bursty workloads, but cold starts, concurrency settings, and pricing multipliers determine whether scale-to-zero beats reserved capacity.
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NeMo Guardrails vs Guardrails AI: The Production Latency Benchmark We Could Not Honestly Complete
We reviewed NeMo Guardrails’ documented setup and developed a practical comparison plan, but did not run a local benchmark or obtain verified Guardrails AI artifacts. We cannot establish a head-to-head winner on production latency or false positives.
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Docker Model Runner vs Ollama in 2026: Workflow Trade-offs and Benchmarking Limits
We favor Docker Model Runner for Docker-centered team workflows and Ollama for simpler standalone setup, without declaring a cold-start or memory winner.
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NVIDIA Dynamo Disaggregated Serving on Kubernetes: What a Credible vLLM Benchmark Requires
We examine NVIDIA Dynamo's Kubernetes prefill/decode architecture, build a release-pinned vLLM deployment workflow, and identify the validation gates required before publishing performance or cost claims.
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Mem0 vs Zep vs Letta: The Production Cost of Agent Memory
Mem0, Zep/Graphiti, and Letta offer different agent-memory trade-offs in ingestion latency, retrieval consistency, context cost, and self-hosting complexity, with no universal production winner.
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Google A2A 1.0 in Production: Our Multi-Vendor Interoperability and Compatibility Audit
We tested Google A2A 1.0 between local Python agents, including discovery, task lifecycle, artifacts, authentication, and migration from pre-1.0 agent cards. Here is what worked, what broke, and where an adapter layer remains necessary.
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Langfuse vs Arize Phoenix Self-Hosted: What Our Traces, Evals, and Containers Exposed
We deployed Langfuse and Arize Phoenix locally, pushed synthetic LLM traces through their OpenTelemetry interfaces, exercised evaluation workflows, and measured the operational cost hidden behind self-hosting.
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Pydantic AI in Production: Type-Safe Agents Without LangGraph Overhead?
We deployed Pydantic AI, exercised structured outputs, dependency injection, retries, and tool calls, then compared its behavior with LangGraph across a 160-scenario test matrix.
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DSPy GEPA vs Manual Prompts: Our Production Benchmark for Cost, Overfitting, and Model Upgrades
We benchmarked DSPy GEPA against manually engineered prompts, measuring held-out accuracy, optimization token cost, latency, and transfer to a newer model.
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Windmill vs. Airflow: A Hands-On Production Review for Data and AI Workflows
We deployed Windmill with Docker Compose, built a mixed-language data and AI workflow, tested worker isolation, and mapped the operational trade-offs against Airflow.
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CodeRabbit vs Greptile: A Production PR Review Benchmark on Catch Rate, Noise, and Cost
We tested CodeRabbit and Greptile against seeded production bugs across TypeScript, Python, and Go pull requests. Here is what each tool caught, where review noise accumulated, and when the per-seat cost paid for itself.
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