AI Test Coverage: Which Tests Are Still Worth Writing
This post is for engineers and tech leads whose coverage number went up the month a coding agent started writing...
Reviewing AI-Written Code: Checks That Catch Real Bugs
This post is for engineers and tech leads who merge pull requests that an agent wrote, and who suspect their...
Self-Hosting an LLM: The Break-Even Point in Numbers
Self-hosting an LLM looks cheap on a whiteboard. An H100 rents for a few dollars an hour, an 8B model...
Claude Opus 5.5: Breaking Changes and What It Really Costs
Anthropic released Claude Opus 5.5 on 22 September 2026 at $4 per million input tokens and $20 per million output,...
Building AI Agents: Tools, Planning, and Execution
AI agents represent a shift from single-response language models to goal-driven systems. Instead of answering one prompt, an agent can...
AI Code Assistants Compared: Copilot vs Cursor vs Codeium
AI code assistants have moved from novelty to daily tooling for many developers. However, not all assistants solve the same...
Fine-Tuning vs RAG: When to Use Each Approach
As large language models mature, developers face a recurring question: should you fine-tune a model, or should you use retrieval-augmented...
Building an AI Chatbot with Streaming Responses
A chatbot that waits several seconds before responding feels slow, even if the answer is correct. Streaming responses solve this...
Prompt Engineering Best Practices for Developers
Prompt engineering is not about clever wording. In production systems, it is about reliability, control, and predictability. A prompt that...