#MVP

Articles about MVP — exploring patterns, best practices, and real-world implementations in production systems.

1 post tagged with mvp. ← All posts

#A2A (5)#ADK (8)#AG-UI (6)#AI (9)#AI Agents (212)#AI Engineering (39)#AI Governance (16)#AI Red Teaming (8)#AI Safety (6)#AI Security (16)#AML (3)#API Design (9)#API Security (8)#APIs (37)#AWS (9)#Accounting (9)#Agent Skills (3)#Agentic AI (24)#Agentic Commerce (12)#Agents (4)#Amazon Bedrock (8)#Architecture (36)#Audit (3)#Automation (6)#Azure (11)#Azure AI Foundry (9)#Backend Engineering (220)#BigQuery (6)#CI/CD (7)#Capital Markets (14)#Card Payments (12)#Cards (13)#Career (7)#Checkpointing (4)#Claude Code (8)#Cloud Architecture (3)#Code Review (8)#Collaboration (4)#Communication (4)#Compliance (42)#Concurrency (23)#Consulting (3)#Cost Optimisation (5)#Credit (14)#Credit Risk (14)#Crypto (12)#Cryptocurrency (12)#Custody (9)#Data (4)#Data Structures (3)#Databases (14)#Deployment (3)#DevSecOps (10)#Developer Experience (3)#Distributed Systems (64)#Documentation (3)#Embeddings (11)#Engineering (7)#Engineering Culture (3)#Engineering Practices (16)#Evaluation (31)#FREE-AI (8)#FX (5)#FinOps (5)#FinTech (6)#Financial AI (14)#Financial Systems (122)#Fintech (116)#Foreign Exchange (5)#Forward Deployed Engineer (8)#Forward Deployed Engineering (8)#Fraud (10)#Function Tools (5)#GCP (5)#Go (220)#Google ADK (36)#Governance (46)#Granite (6)#GraphQL (3)#Guardrails (21)#HIPAA (3)#HTTP (3)#Harness Engineering (8)#Human-in-the-Loop (8)#IBM watsonx (8)#Integration (3)#Interfaces (3)#KYC (11)#KYC and AML (12)#Kubernetes (8)#LLM (5)#LLMs (45)#LangGraph (11)#Ledger (12)#Lending (14)#MCP (10)#MLOps (3)#MVP (1)#Machine Learning (12)#Markets (4)#Memory (8)#Microservices (3)#Microsoft Agent Framework (150)#Middleware (6)#Migration (9)#Monitoring (3)#Multi-Agent (10)#Multi-Agent AI (14)#Multi-Agent Systems (49)#Multimodal (3)#NIM (5)#NVIDIA (8)#OWASP (7)#Observability (25)#Open Source (6)#OpenTelemetry (4)#Opinion (6)#Orchestration (10)#Payment Rails (16)#Payments (51)#Performance (6)#Privacy Engineering (3)#Product (4)#Production (6)#Programming (10)#Prompt Engineering (26)#Prompt Injection (7)#Providers (4)#Python (89)#Quality (3)#RAG (23)#RBI (3)#REST (5)#Rails (16)#Reconciliation (3)#Regulation (9)#Reliability (27)#Resilience (3)#Responsible AI (4)#Retrieval (3)#Risk (13)#SRE (4)#Scalability (3)#Security (63)#Sessions (3)#Settlement (9)#Software Architecture (9)#Software Engineering (94)#Spanner (4)#Streaming (21)#Structured Output (4)#System Design (8)#Testing (30)#Tool Use (9)#Tools (3)#Trading (8)#Treasury (6)#Type System (3)#Type Systems (3)#Vector Databases (8)#Vector Search (3)#Workflows (14)#gRPC (4)
Pratik Dhanave · ·6 min read

Rapid Prototyping

An FDE's superpower is turning a vague problem into something the customer can see and touch within days — because a rough working demo teaches more than a month of meetings.

Turn a vague problem into something the customer can touch in days: build the thinnest slice that tests the riskiest assumption, run a tight demo loop, and manage the prototype's lifespan so 'it demoed' doesn't get shipped as 'it's done'.

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.