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Series

Technical deep dives into Anyshift's engineering decisions, architecture, and lessons learned.

4 Articles in this series

1

Report Templates: pre-built investigations, one click

Every Monday, the pod-stability review gets rebuilt from scratch. Same dashboards, same correlation work, same write-up. Two hours, gone. Report Templates turn the recurring investigations platform and SRE teams run by hand into one click.

Louis Fradin · Apr 15, 2026 · 2 min read
2

Annie CLI

136 CloudWatch alarms vanish overnight. Annie cross-references Slack, the audit trail, and your infra graph in one query. Now it runs in your terminal.

Stephane Jourdan · Mar 16, 2026 · 3 min read
3

Agentic Context Engineering in Production: How AI Agents Build Institutional Expertise

AI agents start every run from scratch. ACE (Agentic Context Engineering) gives them institutional memory that evolves through use, cutting root cause analysis time by 30%.

Ghazi Felhi · Mar 11, 2026 · 8 min read
4

Building a Temporal Infrastructure Knowledge Graph: A Year of Working with Neo4j at Scale

How Anyshift chose Neo4j for building a temporal infrastructure knowledge graph and lessons learned over a year of production use.

Stephane Jourdan · Feb 17, 2026 · 14 min read
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