#Product

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

4 posts tagged with product. ← 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)#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

From Bespoke to Product

Every forward deployed engineer builds one-offs to win the customer in front of them — the ones who last turn those one-offs into product instead of drowning in them.

Every FDE builds one-offs; the ones who last turn them into product. Why bespoke is the right start, the 'third time productize' rule, the feedback loop to the product team, designing custom work for graduation, and managing the portfolio of one-offs.

#Forward Deployed Engineer#Product#Strategy#Scaling#Forward Deployed Engineering
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'.

#Forward Deployed Engineer#Prototyping#MVP#Product#Forward Deployed Engineering#Testing
Pratik Dhanave · ·7 min read

Discovery and Problem Framing

The problem a customer first describes is almost never the problem worth solving — an FDE's first job is to dig until the real one surfaces.

The problem a customer first states is rarely the one worth solving: discovery techniques (ask why, watch real work, find the decision), the jobs-to-be-done lens, mapping stakeholders and constraints, and writing a confirmed problem frame.

#Forward Deployed Engineer#Discovery#Product#Consulting#Forward Deployed Engineering
Pratik Dhanave · ·7 min read

What a Forward Deployed Engineer Is

Part software engineer, part consultant, part product manager — the forward deployed engineer works inside the customer's world to turn a hard problem into working software, then carries what they learn back to the product.

The opener to a forward deployed engineering series: the FDE role as a blend of engineer, consultant, and product manager — embedded at the customer, building real software against a vague problem, then carrying the learnings back to the product.

#Forward Deployed Engineer#Career#Consulting#Product#Forward Deployed Engineering

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.