#Agentic Engineering

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

12 posts tagged with agentic engineering. ← Blog home

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Pratik Dhanave · ·10 min read

Agentic Software Engineering in Go: Case Study

End-to-end: from specification to production deployment

End-to-end case study: a user authentication service taken from YAML specification through harness execution, production hardening, MCP API exposure, and deployment — with the security, reliability, and observability checklists that gate each phase. Every pillar of the series, exercised on one feature. Closes the series.

#Agentic Engineering#Go#Specification Engineering#Coding Agents#Backend Engineering#MCP#Observability#APIs
Pratik Dhanave · ·5 min read

Agentic Software Engineering in Go: Production Operations & Metrics

Observability, continuous improvement, and scaling beyond the individual

The observability stack for an agentic factory: metrics pipeline, log correlation, tracing, and dashboards — then the continuous improvement loop, A/B testing of factory configurations, and improvement categories. Production operations turn the factory from an experiment into infrastructure.

#Agentic Engineering#Go#Observability#LLMOps#Coding Agents#Backend Engineering#Reliability#Testing
Pratik Dhanave · ·5 min read

Agentic Software Engineering in Go: Software Factory Orchestration

Designing always-on, self-sustaining Orchestrator-Worker-Validator systems

The software factory triad in Go: an Orchestrator decomposing work, a Worker pool executing it, and a Validator gating everything — with the orchestration lifecycle, task types, configuration, recovery and durability, metrics, and MCP integration. Ad-hoc agent calls become a system that runs while you sleep.

#Agentic Engineering#Go#AI Agents#Multi-Agent Systems#Coding Agents#Backend Engineering#MCP
Pratik Dhanave · ·5 min read

Agentic Software Engineering in Go: Developer Workflow

From hand work to head work: the daily developer loop

The daily developer loop on the agentic factory: spec authoring patterns and templates, prompt patterns that work, the ASF CLI workflow, and the developer toolbox — the practical shift from typing code to specifying, reviewing, and directing it.

#Agentic Engineering#Go#Coding Agents#Developer Productivity#Backend Engineering#Prompt Engineering
Pratik Dhanave · ·7 min read

Agentic Software Engineering in Go: Team Operating Model

Integrating agent workflows into team software development lifecycles

The team operating model: git-hook integration, PR review automation, a shared context repository the whole team maintains, agent-assisted code review, and onboarding — rolled out as a two-week adoption plan. Agents become part of the software development lifecycle instead of a private productivity hack.

#Agentic Engineering#Go#Engineering Practices#Developer Productivity#Coding Agents#Backend Engineering
Pratik Dhanave · ·6 min read

Agentic Software Engineering in Go: Security & Safety

Prompt injection defense, sandbox execution, and RBAC

The security engine in Go: input sanitization, prompt-injection defense, command sandboxing, role-based access control, and audit logging — plus incident response and the security metrics dashboard. Agents are untrusted-input processors with execution privileges; this post treats them that way.

#Agentic Engineering#Go#AI Security#Prompt Injection#Coding Agents#Backend Engineering#Prompt Engineering
Pratik Dhanave · ·6 min read

Agentic Software Engineering in Go: Autonomy Calibration

Calibrating agent freedom with the AEMM maturity model and Elastic Loop framework

Fixed autonomy levels are wrong in both directions. The AEMM maturity model's four dimensions and the Elastic Loop formula: autonomy computed per task from risk score, context quality, agent confidence, and historical success rate — with dynamic adjustment as evidence accumulates, implemented in Go inside the factory.

#Agentic Engineering#Go#AI Agents#AI Governance#Coding Agents#Backend Engineering
Pratik Dhanave · ·4 min read

Agentic Software Engineering in Go: The Complete Harness

Integrating context, specifications, and verification loops

Context, specifications, and verification loops integrated into a single Go harness: the architecture, execution flow, configuration, state persistence, and metrics — compared head-to-head against ad-hoc agent workflows and traditional CI. The harness is where the disciplines stop being silos and become a system.

#Agentic Engineering#Go#Context Engineering#Specification Engineering#Coding Agents#Backend Engineering
Pratik Dhanave · ·5 min read

Agentic Software Engineering in Go: AI-TDD Verification Loops

Automated verification of agent-generated code

AI-TDD: every agent-generated change runs a verification pipeline — compile, test, lint, spec-conformance — with structured failure feedback driving bounded fix-retry loops. The Go verification engine, retry limits and statistics, and the metrics dashboard that makes agent reliability a number instead of a feeling.

#Agentic Engineering#Go#Testing#Evaluation#Coding Agents#Backend Engineering
Pratik Dhanave · ·5 min read

Agentic Software Engineering in Go: Specification Engineering

Replacing vague English prompts with precise, machine-readable specifications

Replace prose prompts with machine-readable YAML specifications: typed inputs and outputs, error contracts, acceptance criteria, and versioning. The Go spec parser and validator, the specification lifecycle, and code generation driven from the spec — specification-driven versus English-prompt-driven, side by side.

#Agentic Engineering#Go#Specification Engineering#AI Engineering#Coding Agents#Backend Engineering#Prompt Engineering
Pratik Dhanave · ·3 min read

Agentic Software Engineering in Go: Context Engineering

The foundation that makes everything else work

Unconstrained agents improvise; context-engineered agents comply. The context curation engine in Go: architectural decision records, codebase conventions, and dependency constraints assembled into every agent call — so the same HTTP-server prompt reliably produces structured logging, your error idioms, and your project layout.

#Agentic Engineering#Go#Context Engineering#AI Engineering#Coding Agents#Backend Engineering#Prompt Engineering
Pratik Dhanave · ·3 min read

Agentic Software Engineering in Go: Introduction

Beyond unconstrained generation: building reliable AI-assisted development systems

Vibe coding generates code that works once; agentic engineering builds systems that work forever. This series introduces the five pillars — context engineering, specification engineering, AI-TDD verification loops, autonomy calibration, and security by design — all implemented in Go with production-ready patterns. Opens the series.

#Agentic Engineering#Go#AI Engineering#Context Engineering#Coding Agents#Backend 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 the blog or explore related topics using the tag cloud above.