Tools, frameworks, and best practices for building production AI applications.
AI coding agents ignore your project conventions because they can't read your mind. AGENTS.md fixes that—one Markdown file that 25+ tools read natively. Here's what to put in it and why it works.
A gold-standard RCT found experienced devs are 19% slower with AI tools—while believing they're 20% faster. Here's what the data actually means for your engineering team.
We built the same MVP on all three platforms. Lovable ships full-stack fastest, Bolt.new gives developers the most control, and v0 produces the cleanest React code. Here's exactly when to use each.
Cursor now runs 20 cloud agents in parallel while Claude Code deploys full agent teams. We break down pricing, features, and real workflow tradeoffs so you pick the right tool.
Cursor Pro costs $20/month and limits premium model requests. We tested 7 free alternatives—Continue.dev, Cody, Windsurf, Aider, and more—with real benchmarks on code completion, refactoring, and context awareness.
Practical LLM-as-judge patterns for regression testing non-deterministic AI systems. Judge prompts, statistical thresholds, and CI/CD integration.
Latency is only one signal. Quality drift, hallucination spikes, and cost anomalies are the silent AI production failures most teams miss entirely.
A three-layer caching architecture reduced a client's AI API spend from $47K to under $12K monthly. The exact strategy, thresholds, and results.
Most LLM apps reprocess the same queries thousands of times daily. Semantic similarity caching uses embeddings to cut redundant API calls and costs by 30-50%.
