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9 min readMetaprompting: Using LLMs to Write Better Prompts Automatically
A guide to building feedback loops where an LLM critiques and optimizes prompt instructions iteratively to hit exact performance targets.
5 min readGoogle Search Console API: Automate SEO Reporting and Monitoring With Python
The GSC Search Analytics API lets you pull performance data programmatically, build automated reports, and set up traffic drop alerts - no more manual CSV exports.
8 min readStructured Outputs from LLMs: Leveraging JSON Mode and Tool Calling
How to guarantee LLMs conform to schema specifications for databases and APIs using instructor libraries and native compiler features.
10 min readPrompt Versioning and Evaluation in CI/CD Pipelines: A Practical Guide
Treating prompts as code: how to track prompt changes, version them in git, and run automated regression tests on code changes.
9 min readSWE-Bench: The Gold Standard for Evaluating LLM Software Engineering
SWE-Bench tests LLMs on 2,294 real GitHub issues from popular Python repositories, evaluating whether the model can write code that passes the existing test suite - a far harder and more realistic evaluation than HumanEval.
7 min readONNX: Export Any ML Model and Run It Anywhere
ONNX (Open Neural Network Exchange) is the universal model format - export from PyTorch, scikit-learn, or HuggingFace and run 3x faster inference with ONNX Runtime on CPU or GPU.
8 min readPrompt Caching: How to Cut Your LLM API Bills by 50%
Understanding how provider-side prompt caching caches system instructions and history files to drop latency and input token pricing.
10 min readBuilding a Custom LLM Gateway for Rate-Limiting, Fallbacks, and Auditing
How to engineer a centralized routing layer that handles API keys, logs usage, automatically retries on rate limits, and falls back to backup models.
5 min readClaude 3.5 Sonnet Review: What It Does Better Than GPT-4o (and Where It Falls Short)
An honest, benchmark-driven comparison of Claude 3.5 Sonnet vs GPT-4o covering coding, document analysis, multimodal tasks, pricing, and real-world verdict.
8 min readLLM Safety and Alignment Explained for Developers
What alignment means, how RLHF and Constitutional AI shape model behavior, why models still fail, and what application-level guardrails you actually need to build.
6 min readLLMs for Code Generation: A Deep Dive Into Benchmarks, Best Practices, and Limits
Which LLMs write the best code in 2026, what the benchmarks actually measure, how to get better output, and where generated code will still burn you.
6 min readLLM Knowledge Cutoffs: What They Mean and How to Work Around Them
What a knowledge cutoff is, current cutoff dates for GPT-4o, Claude, Gemini, and Llama, what models cannot know, and 4 practical workarounds for real-time information needs.