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Engineering & product playbooks
Hands-on playbooks, decision frameworks, and case studies from the team building AI-native products at CodeNicely.
Temporal Tables vs. Audit Logs: Pick the Right History Model
Audit logs and temporal tables solve different problems, and picking the wrong one leaves you writing ad-hoc reconstruction queries for years. Here's how to choose when compliance, point-in-time reporting, or both land on your desk.
Questions to Ask Before Hiring an AI Healthcare Dev Partner
Before you sign an AI healthcare development partner, ask them these 18 questions. They separate teams that have shipped against real clinical, HIPAA, and EMR constraints from vendors who dressed a generic build in healthcare language.
AI Observability Cheatsheet: What to Log, Alert, and Ignore
Standard APM misses the signals that actually break LLM features in production. This cheatsheet covers exactly what to log, what to alert on, and what to stop paging engineers about at 2am.
5 Mistakes Teams Make When Automating B2B Credit Onboarding
Your automated onboarding is hitting SLA targets but the manual-review queue keeps growing and bad approvals are creeping up. Here are the five failure modes we see most often in B2B credit decisioning, and how to recover from each.
How to Hire an AI Development Partner in the US
A practical filter for US buyers evaluating AI development partners after a failed vendor engagement. The criteria that separate demo shops from teams that have actually shipped production systems under compliance pressure.
How Vahak Onboarded 800K Trucks Without Breaking the Marketplace
Vahak crossed 800,000 trucks on its platform without watching match quality collapse — a rare outcome for two-sided logistics marketplaces. The unlock wasn't more onboarding data. It was redesigning the matching model to learn from behavior after signup.
What Is a Webhook? And Why Your Integration Keeps Breaking
A webhook is a push notification between servers — the provider calls you when something happens, instead of you polling them. Most webhook failures in production are not missed deliveries; they are duplicate deliveries processed twice.
How to Retire a Legacy System Without Freezing the Business
Retiring a legacy billing, inventory, or order management system doesn't require a six-month feature freeze or a terrifying big-bang cutover. Here's the sequencing playbook that keeps the business running while the old system dies quietly in the background.
Fine-Tune or RAG? Pick the Right AI Memory Strategy
Most fine-tune vs RAG debates treat this as a capability contest. It isn't. The real decision hinges on how fast your knowledge changes, how much labeled data you can produce, and which failure modes you can tolerate.
Best AI Development Companies in Dubai for SMBs
A working guide for Dubai SMBs deciding which type of AI partner actually fits — from Big Four consultancies to offshore studios — with honest tradeoffs on each. Includes the UAE-specific criteria (VAT, Arabic UX, PDPL) that most buyers only think about after go-live.
Rate-Limit an LLM API Without Dropping User Requests
Watching 429s spike in Sentry every morning? The fix isn't smarter retries — it's a sliding-window token ledger that holds requests locally until your budget refills. Here's a runnable Python tutorial.
Pinecone vs. pgvector: Which Vector Store Fits Your AI App
Filtered vector search is the query pattern that breaks most head-to-head Pinecone vs pgvector benchmarks. Here's how to pick the right vector store for your AI app based on the dimensions that actually matter in production.