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What we learn shipping AI, architecture and technology leadership for real teams. Costs, teardowns and decisions, written by the people doing the work.

Guide

1,580 posts
GUIDETechnology Roadmaps for PE Portfolio Companies: 3-Year Horizon Planning9 Apr 2026
GUIDEAI-Powered Data Observability: D23.io Meets Claude8 Apr 2026
GUIDEBuilding MCP Servers for Internal Tools: A Claude-First Approach8 Apr 2026
GUIDEClaude Batch API: 50% Off, at the Price of Latency8 Apr 2026
GUIDEClaude Agent SDK: When It Beats Your Own Orchestration7 Apr 2026
GUIDEEnterprise MCP Servers: A Reference Architecture7 Apr 2026
GUIDEInternal Tools with Claude Code at Scale7 Apr 2026
GUIDEAI Vendor Consolidation: Going From 20 Tools to 56 Apr 2026
GUIDESuperset, Iceberg, and Trino: A Lakehouse BI Stack That Works6 Apr 2026
GUIDEClaude Code in Enterprise Engineering: Rolling It Out to 200 Developers6 Apr 2026
GUIDEHaiku 4.5 vs Sonnet 4.6: When the 3x Cheaper Model Wins5 Apr 2026
GUIDEThe Cost of AI Gone Wrong: A Buyer's Audit Checklist5 Apr 2026
GUIDESuperset Plugin Development: Extending D23.io with Custom Charts5 Apr 2026
GUIDEVenture Studio for PE-Backed Platforms: A 2026 GTM Motion5 Apr 2026
GUIDEAgentic AI Production Horror Stories (And What We Learned)4 Apr 2026
GUIDEThe CTO-in-Residence Model for PE Firms4 Apr 2026
GUIDED23.io Managed Service: When Self-Hosted Meets White-Glove Support4 Apr 2026
GUIDEApache Superset for Financial Reporting: Month-End Close Dashboards3 Apr 2026

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