SpecDDArticles
- The Amazing Trio: Code, Specs, and Automated Tests
Code, specs, and automated tests each tell a different part of the truth. In spec-driven development, the useful loop is not specs replacing code or tests, but all three reinforcing each other. Code shows what the system does, specs explain what it is supposed to mean, and automated tests prove the behavior still holds.
Continue reading → - SpecDD Superpowers: Traceable Intent
SpecDD does more than make intent local. Once specs exist beside the code they govern, intent becomes traceable. Teams can compare tests to requirements, review AI-generated diffs against local contracts, and notice when code has drifted away from its contract.
Continue reading → - SpecDD Superpowers: Safer Delivery
SpecDD does more than help agents implement local specs. Once teams start writing useful local contracts, they also get better scope control and clearer security assumptions. The broader delivery benefit is that important context stops depending on memory and starts living near the work.
Continue reading → - SpecDD Superpowers: Better Software Design
SpecDD is usually explained as a way to give humans and AI agents better local context. One practical superpower is that writing useful specs changes the quality of the software around them. It forces teams to name responsibilities, draw boundaries, and expose design assumptions while code is still easy to shape.
Continue reading → - SpecDD for DevOps: Using Specs to Build Better Ansible Roles and Playbooks
Ansible starts approachable, but high-quality Ansible automation becomes complex quickly. SpecDD gives DevOps teams a local specification layer that steers roles, playbooks, inventories, variables, handlers, and templates, so humans and AI agents can build safer infrastructure automation with less repeated correction.
Continue reading → - SpecDD as the Interface Between Product and Development Teams
Product owners already write requirements, edge cases, acceptance behavior, and rules about what must not happen. SpecDD gives that work a simple structured form that development teams and AI agents can use, without forcing product stakeholders to pretend they own the architecture.
Continue reading → - Scaling AI-Assisted Development Needs A Spec Layer
AI-assisted development scales poorly when implementation speed grows faster than shared understanding. SpecDD gives teams a local context layer for agents, reviewers, and developers, so AI-driven work can move beyond prototype-level prompting without turning review into the real bottleneck.
Continue reading → - Hacking SpecDD: Iterative Development Using Specs as Planning Checkpoints
SpecDD specs are not only starting instructions. They can become planning checkpoints between intent, agent interpretation, implementation, review, and the next slice of work. The useful trick is asking the agent to plan against the spec, then using that plan to correct the agent, the spec, or your own assumptions before they become code.
Continue reading → - Hacking SpecDD: Generating Specs from Prompts, for Fun and Profit
You do not have to write every SpecDD spec from scratch. A rough prompt can become a useful first draft, the draft can become a reviewed contract, and the contract can guide implementation. The trick is using AI to make intent cheaper to structure without handing it ownership of the decisions.
Continue reading → - Is SpecDD Too Verbose? Only If You Measure It Against Toy Code
SpecDD can look verbose when the implementation is tiny, and our own example repo has that problem because it is designed to show the mechanics clearly. In real systems, the ratio changes. A small local spec can govern a much larger body of code, tests, edge cases, boundaries, and future changes.
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