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Engineering & product playbooks
Hands-on playbooks, decision frameworks, and case studies from the team building AI-native products at CodeNicely.
Top Digital Transformation Companies in India for SMBs
A working guide to picking a digital transformation partner in India when you're a 50–500 person SMB — not an enterprise. Categories, tradeoffs, and what actually goes wrong.
How HealthPotli Fulfilled 500K Orders Without a Warehouse
A deep engineering walkthrough of the HealthPotli fulfillment stack — how partner-pharmacy inventory, prescription verification, and expiry-aware dispatch were architected to survive 500K real orders. Written for pharmacy operators evaluating what to build before they sign a vendor contract.
5 Mistakes Teams Make When Automating a Lending Operations Back Office
Most lending back-office automation projects don't fail at go-live. They fail six months in, when the exception queue quietly becomes the whole business. Here are the five patterns behind that drift — and how to recover.
LLM Prompt Versioning Cheatsheet: Stop Shipping Blind
A dense reference for teams shipping LLM features to production: how to version prompts, run regression tests, roll back safely, and treat prompt edits as the schema migrations they actually are.
What Is a Feature Store? Stop Retraining Models on Stale Data
Your model looked great in the notebook and degraded quietly in production. The culprit is usually training-serving skew — and a feature store is the piece of infrastructure built to eliminate it.
How to Hire a Software Development Partner in India
Hiring a software development partner in India is less about hourly rates and more about IP terms, timezone accountability, and proof of production-scale delivery. Here is what to actually evaluate before you sign.
Questions to Ask Before Hiring a Legacy Modernization Partner
One failed migration is enough to teach you that most vendors sell re-platforming and call it modernization. Here are the 15 questions that actually separate partners who've run a live cutover from those who've only built greenfield.
Temporal Tables vs. Event Sourcing: Pick the Right Audit Trail
Temporal tables and event sourcing look interchangeable until an auditor or a disputing customer forces you to prove something specific. The right pick depends less on scale than on which question your business actually needs to answer.
How to Migrate a Live Multi-Tenant SaaS DB With Zero Downtime
A practical playbook for migrating a live multi-tenant Postgres database without a maintenance window. Includes the dual-write pitfall that quietly corrupts tenant data — and how a per-tenant write-version flag prevents it.
How KarroFin Automated Credit Scoring for 250K Borrowers
A deep walkthrough of how KarroFin built an automated credit scoring pipeline for 250,000 borrowers — what the team tried first, why the model wasn't the bottleneck, and how the feature layer unlocked everything.
Cache LLM Embeddings in Redis Without Stale Vector Drift
Caching OpenAI embeddings in Redis cuts cost, but naive keys leave stale vectors polluting your retrieval layer. Here's a content-addressed cache pattern that self-invalidates on every edit — with runnable code.
Buy vs. Build AI Ops Tooling: A Framework That Actually Sticks
Most buy vs build AI tools frameworks treat the decision as a cost comparison. That's why they fail. Here's the axis that actually predicts regret — and how to score your specific situation.