#Automation

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

8 posts tagged with automation. ← All posts

#A2A (14)#ADK (8)#AG-UI (6)#AI (9)#AI Agents (311)#AI Architecture (21)#AI Cost (10)#AI Cost Optimization (8)#AI Engineering (227)#AI Evaluation (9)#AI Gateway (8)#AI Governance (29)#AI Red Teaming (9)#AI Research (9)#AI Safety (8)#AI Security (29)#AI in Production (12)#AML (3)#API Design (10)#API Security (8)#APIs (56)#AWS (17)#Accounting (9)#Agent Skills (3)#Agentic AI (24)#Agentic Commerce (12)#Agentic RAG (8)#Agents (4)#Amazon Bedrock (8)#Analytics (3)#Architecture (40)#Audit (3)#Authentication (11)#Authorization (3)#Automation (8)#Azure (11)#Azure AI Foundry (9)#Backend Engineering (310)#Benchmarks (3)#Best Practices (3)#BigQuery (6)#Business Finance (8)#Business Strategy (55)#C (8)#CI/CD (16)#Caching (11)#Capital Markets (14)#Card Payments (12)#Cards (13)#Career (25)#Checkpointing (4)#Claude Code (8)#Cloud (5)#Cloud Architecture (3)#Cloud Native (10)#Code Review (8)#Collaboration (5)#Communication (9)#Compliance (52)#Computer Networking (9)#Computer Science (32)#Computer Vision (5)#Concurrency (39)#Consulting (3)#Containers (10)#Context Engineering (10)#Conversational AI (8)#Cost Optimisation (5)#Credit (14)#Credit Risk (14)#CrewAI (8)#Crypto (12)#Cryptocurrency (12)#Cryptography (8)#Custody (9)#DSPy (8)#Data (13)#Data Engineering (12)#Data Structures (9)#Databases (38)#Deployment (4)#Design Patterns (10)#DevOps (24)#DevSecOps (21)#Developer Experience (5)#Developer Tools (5)#Distributed Systems (95)#Documentation (3)#Edge AI (8)#Embeddings (17)#Emotional Intelligence (8)#Energy (8)#Engineering (11)#Engineering Culture (3)#Engineering Practices (16)#Error Handling (4)#Evaluation (58)#Event-Driven Architecture (8)#FREE-AI (8)#FX (5)#Feedback (4)#FinOps (23)#FinTech (6)#Financial AI (14)#Financial Systems (129)#Fine-Tuning (11)#Fintech (131)#Flutter (8)#Foreign Exchange (5)#Forward Deployed Engineer (16)#Forward Deployed Engineering (8)#Fraud (10)#Function Tools (5)#Functional Programming (3)#Fundraising (8)#GCP (5)#Gemma (4)#Generative AI (3)#Git (8)#Go (220)#Go-to-Market (8)#Google ADK (36)#Governance (59)#Granite (6)#GraphQL (3)#Growth (3)#Guardrails (33)#HIPAA (3)#HTTP (3)#Harness Engineering (8)#Hiring (8)#Hugging Face (8)#Human-in-the-Loop (9)#IBM watsonx (8)#Identity (11)#Integration (3)#Intellectual Property (8)#Interfaces (3)#JavaScript (8)#KYC (11)#KYC and AML (12)#Kafka (10)#Kubernetes (17)#LLM (5)#LLM Inference (8)#LLM Infrastructure (8)#LLM-as-Judge (3)#LLMs (170)#LangChain (8)#LangGraph (11)#Leadership (26)#Ledger (12)#Legal (8)#Lending (14)#Linux (9)#LlamaIndex (8)#Load Balancing (3)#MCP (22)#MLOps (32)#Machine Learning (49)#Marketing (16)#Markets (4)#Memory (15)#Memory Management (5)#Metrics (6)#Microservices (3)#Microsoft Agent Framework (150)#Middleware (6)#Migration (9)#Mixture of Experts (5)#Monitoring (3)#Multi-Agent (10)#Multi-Agent AI (14)#Multi-Agent Systems (73)#Multimodal (3)#Multimodal AI (8)#NIM (5)#NVIDIA (8)#Networking (3)#OAuth (3)#OWASP (7)#Observability (49)#On-Device AI (8)#Open Source (7)#OpenTelemetry (5)#Operating Systems (9)#Operations (10)#Opinion (6)#Orchestration (10)#Organizational Design (8)#Payment Rails (16)#Payments (54)#People (8)#Performance (48)#Personalization (9)#Platform Engineering (9)#PreSales (8)#Privacy (5)#Privacy Engineering (3)#Process (4)#Product (29)#Product Management (8)#Production (11)#Programming (10)#Programming Languages (48)#Prompt Engineering (74)#Prompt Injection (14)#Protocol Buffers (3)#Protocols (9)#Providers (4)#Pydantic AI (8)#Python (142)#Quality (3)#RAG (59)#RBI (3)#REST (5)#Rails (16)#Reasoning Models (8)#Recommender Systems (8)#Reconciliation (3)#RegTech (8)#Regulation (9)#Reliability (52)#Resilience (4)#Responsible AI (5)#Retrieval (3)#Risk (13)#Rust (32)#SLSA (3)#SRE (22)#Sales (9)#Scalability (3)#Security (91)#Security Engineering (8)#Self-Evolving Agents (16)#Sessions (3)#Settlement (9)#Soft Skills (8)#Software (3)#Software Architecture (36)#Software Delivery (9)#Software Engineering (144)#Spanner (4)#Speech (8)#Startups (30)#Strands (8)#Streaming (31)#Structured Output (4)#Supply Chain Security (9)#Sustainability (8)#System Design (32)#Systems Programming (56)#Testing (53)#Threat Modeling (3)#Tool Use (22)#Tooling (5)#Tools (3)#Trading (8)#Treasury (6)#Type System (3)#Type Systems (11)#TypeScript (8)#Vector Databases (22)#Vector Search (11)#Venture Capital (8)#Version Control (8)#Voice AI (9)#Web Development (6)#Workflows (14)#eBPF (8)#gRPC (13)#smolagents (8)
Pratik Dhanave · ·5 min read

The Build and Test Stages

The build and test stages are the engine of a pipeline — the part that decides, on every change, whether it's safe to proceed. Get them fast and trustworthy and the whole pipeline flows; get them slow or flaky and the pipeline becomes something developers route around. This post is about designing tests and builds that give a fast, reliable verdict.

The build and test stages are the engine of a pipeline — the part that decides, on every change, whether it's safe to proceed. Get them fast and trustworthy and the pipeline flows; get them slow or flaky and it becomes something developers route around. This post covers the test pyramid, deterministic tests, fail-fast staging, build-once-promote, caching, and parallelism.

Pratik Dhanave · ·6 min read

What CI/CD Is, and Why It Exists

CI/CD is one of those acronyms everyone uses and few can define precisely. Strip away the tooling and it's an answer to a simple, painful question: how do you take a change a developer just wrote and get it safely into users' hands, quickly and repeatedly, without fear? This opening post defines the terms from first principles and explains the problem they solve.

CI/CD is an answer to a simple, painful question: how do you take a change a developer just wrote and get it safely into users' hands, quickly and repeatedly, without fear? This opening post defines the terms from first principles — CI, Continuous Delivery vs Deployment, the pipeline — and explains the integration-hell and deployment-fear problems they were invented to kill.

Pratik Dhanave · ·6 min read

Claude Code in Production Workflows

Beyond the interactive terminal, Claude Code can run headless in scripts and CI — which unlocks automation, and raises the stakes on permissions, review, and trust.

The capstone: running Claude Code headless in scripts and CI (PR review, batch ops, scheduled jobs) — and the guardrails it demands: least privilege, sandboxing, gating the produced artifact with human review, and the series' layered recap.

Pratik Dhanave · ·14 min read

AI-Assisted Code Review

The series finale — where LLM reviewers genuinely help on every pull request, where they quietly fail, and how to build a human-plus-AI workflow that speeds review up without letting judgment or accountability leak away.

The capstone: using AI/LLM reviewers well and where humans stay essential — AI as a tireless first pass that clears the noise, its limits (design judgment, contextual security, accountability, hallucinations), and a healthy human+AI division of labor.

Pratik Dhanave · ·14 min read

Code Review at Scale

How to run code review across a whole team or organization without turning it into a bottleneck: treat review latency as a first-class metric, distribute the load, let automation handle the toil, and measure the things that actually predict quality.

Making review work across a team without becoming a bottleneck: review velocity as a first-class metric, ownership and routing (CODEOWNERS), automating toil so humans do judgment, healthy SLAs, and measuring the right things.

Pratik Dhanave · ·6 min read

Hooks and Automation

Hooks turn "please always run the formatter" from a hope into a guarantee — deterministic shell commands that fire on Claude Code's lifecycle events, no matter what the model decides.

Hooks are shell commands that fire deterministically on lifecycle events — auto-format on edit, block edits to protected paths, run checks, notify. When to use a hook (guarantee) vs CLAUDE.md (influence) vs permissions (gate), and keeping them safe.

Pratik Dhanave · ·13 min read

Automated Red-Teaming and Tooling

Scaling red-teaming beyond manual probing — the building blocks of an automated harness (seed library, mutation, orchestrator, scorer), LLM-driven adaptive attackers, the real tools by role (PyRIT, garak, promptfoo, Giskard), and wiring it all into CI as a repeatable gate.

Scaling red-teaming: the harness building blocks (attack seeds, mutation, orchestrator, scorer), adaptive LLM-driven attackers, the real tools by role (PyRIT, garak, promptfoo, Giskard), and integrating an automated red-team gate into CI.

Pratik Dhanave · ·11 min read

What DevSecOps Is

The opening post of a DevSecOps series — how security stops being a gate at the end of delivery and becomes an automated, shared responsibility built into every stage of the pipeline.

The opener to a DevSecOps series: building security into the delivery lifecycle instead of bolting it on — shift-left (and shift-right), security as everyone's job, the CI/CD pipeline as the enforcement point, and the automated controls the series wires up.

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.