Blog
Product updates, guides, and ideas on shipping prompt changes without redeploying.
June 3, 2026
Prompts are config, not code
88% of companies run AI in production, yet most still ship prompt changes through a full redeploy. Here's why prompts belong in config, not code.
June 2, 2026
AI governance is becoming an engineering problem
97% of organizations breached through AI lacked basic access controls. Governance has moved from legal's spreadsheet into the engineering stack — here's what that means for CTOs.
June 2, 2026
Generative Engine Optimization for Developers: How to Get Your Docs Cited by AI
Gartner predicts search volume drops 25% by 2026 as buyers shift to AI assistants. Here's how engineering teams structure docs to get cited by AI.
June 2, 2026
How Can Engineering Teams Cut LLM Costs Without Hurting Quality?
Token prices fall ~10x a year, yet GenAI spend hit $644B in 2025. Here's how engineering teams cut LLM costs with caching, model routing, and batching.
June 2, 2026
Prompt Caching: How to Cut LLM Token Costs Without Touching Quality
A practical guide to prompt caching for engineering teams. Anthropic, OpenAI, and Google now discount cached input tokens up to 90% — here's how to capture it.
June 2, 2026
Prompt Engineering in 2026: Why It's Becoming an Operations Problem
Adoption of AI coding tools hit 84% in 2025, but developer trust fell to 29.6%. Here's how prompt engineering became a production operations problem.
June 2, 2026
Prompt Management for Teams: How to Ship LLM Prompts Safely
88% of orgs now use AI, but only ~6% capture real value (McKinsey, 2025). The gap is prompt management — here's how engineering teams close it.
June 2, 2026
Prompt Versioning Best Practices: Ship LLM Changes Safely
A practical guide to prompt versioning. McKinsey reports 88% of organizations use AI, yet only ~6% capture real value — disciplined change control is the gap.