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Engineering & product playbooks
Hands-on playbooks, decision frameworks, and case studies from the team building AI-native products at CodeNicely.
Best Software Development Companies in Australia for SMBs
A practitioner's guide to picking a software development partner as an Australian SMB — the four real categories of providers, what each is honestly good and bad at, and the evaluation mistake most operations leads make first.
What Is Event Sourcing? Stop Losing the Why Behind Your Data
Your database records what is true now, not what happened. Event sourcing inverts that model — making the sequence of events the source of truth, so the audit trail becomes structural instead of optional.
Your Automation Didn't Save Time. It Moved the Work.
Automation projects tend to eliminate the visible, countable steps in a workflow while leaving the invisible judgment work untouched. That's why your tools run fine but your ops team is still drowning.
5 Mistakes Teams Make When Digitizing a Pharmacy
Most pharmacy digitization projects fail after launch, not before it. Here are five specific mistakes we see teams make when moving prescriptions, inventory, and fulfillment online — and how to recover once cracks appear.
How GimBooks Scaled GST Filing to 3M Users Without a DBA
GimBooks handled normal load fine but crashed every GST deadline cycle. Here's the architectural call that fixed it — and why horizontal scaling alone would have made the problem worse.
Supabase vs. PlanetScale vs. Neon: Pick the Right Serverless DB
Most Supabase vs PlanetScale vs Neon comparisons benchmark cold starts on toy workloads. Here's how each one actually behaves under multi-tenant SaaS load — and which choice will force you to re-platform when your first enterprise customer lands.
In-House AI Team vs. External Studio: Pick the Right Model
Most in-house vs outsourcing debates for AI development assume a FAANG-scale org or treat studios as a cost play. Here's the framework that actually matters at 50-300 person companies making their first serious AI bet.
Stream LLM Responses to the Browser Without Losing State
Streaming LLM output to the browser looks trivial until you need per-user state, accurate token billing, and safe recovery when the client drops. Here is a working pattern with FastAPI, SSE, and React that gets all three right.
Best AI Development Companies in the US for SMBs
Every AI vendor pitches the same capabilities, but the category of partner you pick — Big 4, US agency, offshore shop, or AI-first product studio — decides whether your project ships. Here's how a US SMB with a scoped initiative should actually choose.
AI Credit Scoring Red Flags: A Model Audit Cheatsheet
A dense reference for credit risk heads inheriting an AI scoring model they didn't build. Covers the three audit failure modes accuracy metrics miss: proxy discrimination, silent drift, and disconnected reason codes.
How to Sunset a Legacy Feature Without Breaking Power Users
Most feature deprecations fail because usage analytics tell you who calls a feature, not what job it's doing. Here's a playbook for sunsetting legacy features when a vocal minority of power users has built workflows you've never seen.
How to Hire an AI Development Partner in the UAE
A field guide for UAE COOs and CTOs vetting offshore AI studios — how to tell real GCC delivery experience from a rebranded generic offshore pitch. Covers PDPL, Arabic NLP, VAT logic, and the weekend calendar test most studios silently fail.