Agentic Development Methodology

A reproducible framework for building software where AI agents handle execution while humans provide strategic oversight.

The core insight is simple: AI agents can handle implementation autonomously when given clear specifications, provided there are non-negotiable quality gates that prevent deployment of untested code. This shifts the developer's role from writing code line-by-line to orchestrating a system of intelligence.

Core Principles

1. KISS (Keep It Simple Stupid)

Prefer simplicity over complexity. Avoid over-engineering. Solutions should be clear, concise, and easy to understand for both humans and agents. If something feels overly complicated it probably is.

2. DRY (Don't Repeat Yourself)

Extract common patterns and reusable logic. Agents excel at spotting repetition; use that to build a cleaner codebase.

3. Contracts-First

Define the rules before implementation. For software, this means API definitions and type safety. For AI agents, this means rulesets, style guides, and reusable commands. Clear contracts ensure humans and agents share the same expectations.

4. TDD (Test-Driven Development)

Write tests first. Tests are not just for verification; they are the requirements that the agent must satisfy. Tests block deployment if they fail—no exceptions.

5. Security-First

Security is not an afterthought. OWASP best practices, input validation, and strict authentication are built-in from the start.

The Workflow

HUMAN1PlanningDefine what & why2SpecificationTechnical blueprints3ImplementationAgents write code4VerificationQuality gates

Phase 1: Planning

Convert vague ideas into structured, actionable requirements. Humans define the "what" and "why"; agents help refine the "how".

Phase 2: Specification

Define the contracts that guide implementation. This includes API definitions, agent rulesets, style guides, reusable commands, and most importantly, test scenarios.

Phase 3: Implementation

Agents follow the contracts to generate code, tests, and documentation. Humans review architecture and logic, not syntax.

Phase 4: Verification

Automated quality gates ensure that nothing breaks. Integration tests validate the entire flow from the user's perspective.

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This methodology works. If you want help applying it to your codebase and workflow, let's discuss how.

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