SpecDDArticles
- 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.
Continue reading → - SpecDD for Non-Technical Users: Can You Vibe-Spec? Yes
SpecDD is not only for developers. If you can describe what a feature should do, what it should avoid, and how you would know it worked, you can write a useful spec. It does not need to be deeply technical to help an AI agent or engineering team build the right thing.
Continue reading → - SpecDD for Developers
AI coding agents are good at producing plausible code. SpecDD helps make that code right for your project by putting small, local implementation contracts beside the files they govern. For developers, that means less re-explaining, fewer boundary violations, clearer reviews, and a workflow that gives agents the context they need before they start guessing.
Continue reading → - SpecDD for CTOs
AI coding agents can move quickly, but speed is not the same as controlled delivery. SpecDD gives CTOs a practical way to make engineering intent local, versioned, and usable by both humans and AI agents, so teams can scale AI-assisted development without turning the codebase into an unmanaged experiment.
Continue reading → - I Built SpecDD Because AI Kept Forgetting What We Were Building - and Between the Two of Us, We Couldn't Spec-ify a Thing
AI agents are not failing because they are not quite smart enough. They are failing because no one gave them the right context at the right time. This is the origin story of SpecDD - a specification-driven development framework built to solve exactly that problem. Small, local, human-readable specs that live beside your code, giving both humans and AI the precise context they need, exactly where they need it.
Continue reading →