#Quality

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

3 posts tagged with quality. ← 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 · ·17 min read

Security and Performance Review

The two specialist lenses a reviewer switches on for a diff — thinking like an attacker to catch the injection and the missing authorization check, and thinking like production to catch the N+1 query — while knowing exactly where the human eye stops and a scanner, profiler, or load test has to take over.

The specialist lenses: security review (untrusted input to a sink, missing authz/BOLA, secrets, SSRF, new dependencies) and performance review (N+1 queries, unbounded queries, missing indexes) — flag the smells, defer depth to scanners and profilers.

Pratik Dhanave · ·14 min read

What to Look For in a Code Review

A reviewer's mental checklist ordered by leverage — design first, then correctness, then tests, then readability, with style and formatting handed off to the tools that were built for it.

A reviewer's checklist ordered by leverage: design first, then correctness and edge cases, then tests, then readability — and what to leave entirely to tools (formatting, lint) so human attention goes where it matters.

Pratik Dhanave · ·11 min read

Why Code Review

The first post in a practical series on code review — what the practice is actually for, what it is not, and why treating it as a collaboration rather than a gate is what makes it worth the time it costs.

The opener to a code-review series: what review is actually for — catching defects early, better design, knowledge sharing, collective ownership — and what it isn't (gatekeeping, style bikeshedding), plus the healthy team norms that make it work.

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.