Standardize AI in your SDLC so results are repeatable, reviewable, and safe.
Leadership funds "AI adoption," but can't get reliable gains. Teams need a standard they can leverage, not slogans.
A workflow works once, then it doesn't. The "how" stays tribal, and wins don't compound across the team.
Cut corners with AI and the bill shows up fast: slipping specs/tests/docs, inconsistent results, and compounding rework that drags on for months.
You don't need prompt magic.
You need a reviewable SDLC workflow you can trust and adopt in one repo.
nWave standardizes AI in your SDLC so every change is specified, tested, and reviewable.
Start from a clear spec and acceptance criteria so agentic AI produces the right change.
Bake testing expectations into the workflow so speed doesn't come from skipping fundamentals.
The output are diffs, tests, docs, and a definition-of-done you can enforce in review.
You don't need better prompts.
You need a workflow your team can repeat, review, and scale.
Get the kit on GitHub and try the workflow optimized for Claude Code.
Install the kit from GitHub and follow the quickstart to run your first workflow. You'll produce PR-ready output: a clear spec, tests/guardrails, and reviewable changes.
Quickstart on GitHubRelease notes, new templates, and pilot invites—only when there's something you can use.
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