Ideas, lessons &
technical deep dives.

Thoughts from the Fennec team on AI engineering, automation, data infrastructure, and building intelligent software — from people who do this every day.

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AI Engineering · Deep Dive
How we built an AI system that reads P&ID diagrams — and what we learned

Parsing complex engineering diagrams with AI sounds simple. It isn't. Here's the full story — the architecture decisions, the failure modes we hit, how we solved the symbol recognition problem, and what the production system actually looks like.

FN
Fennec Team
Feb 10 · 12 min read
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Gen AI · LLMs
RAG vs Fine-tuning: What actually works in enterprise production

We've deployed both at scale. Here's our honest breakdown — when RAG wins, when fine-tuning is worth it, and the hybrid approach we now default to.

FN
AI Team
Jan 28 · 9 min
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Automation · Testing
How we cut a 2-week release cycle to 2 days with Playwright & GitHub Actions

A practical walkthrough of the test automation framework we built for a HCM platform — architecture, patterns, and the CI/CD integration that made the difference.

FN
Engineering
Jan 14 · 8 min
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Data Engineering
dbt + Airflow + Snowflake: Our go-to modern data stack in 2025

After building data platforms for 10+ companies, this is the stack we keep coming back to — and why. Opinionated, practical, and battle-tested.

FN
Data Team
Dec 20 · 10 min
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Full-Stack · Architecture
Building enterprise-grade Next.js apps: What the tutorials don't tell you

From multi-tenancy and auth patterns to performance at scale and deployment best practices — lessons from shipping 20+ Next.js apps to production.

FN
Engineering
Dec 5 · 11 min