Topic: AI Coding

A focused archive of AI Coding articles for spec-first teams.

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OpenSpec vs Superpowers vs Spec Kit: SDD Patterns

Compare OpenSpec vs Superpowers vs GitHub Spec Kit through practical SDD patterns: specs, plans, tasks, tests, review gates, and evidence.

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AI Coding Spec Packet Before Code Generation

A copy-ready packet for giving AI coding tools a bounded task, acceptance criteria, file ownership, tests, and review evidence before code generation starts.

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Superpowers for Spec-First AI Coding

Superpowers enforces spec-first discipline for AI coding agents through brainstorming, specs, plans, TDD, verification, and repeatable review evidence.

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AI Coding Prompts That Follow Specs

AI coding tools drift without constraints, adding fields, renaming functions, expanding scope, and inventing tests. Spec-first prompts keep changes reviewable.

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AI Coding Governance with Spec-Driven Prompts

Govern AI-assisted coding with spec-driven prompts: define scope, boundaries, evidence, and audit trails before generated code reaches review.

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AI Coding PR Review with Acceptance Criteria

Review AI-generated pull requests against acceptance criteria: inspect the diff, run evidence checks, and catch failures a quick skim misses.

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AI Coding Risk Register Before Merge

Use a pre-merge risk register for AI-generated code: flag auth, data, contract, migration, rollback, and observability risks.

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AI Coding with Test-Evidence Gates

Use test-evidence gates for AI-generated code: require meaningful tests before merge and catch hallucinated implementations before release.

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API Change Management for AI-Generated Clients

Manage API changes for AI-generated clients with structured changelogs, announcement channels, compatibility rules, and CI gates.

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API Error Taxonomy for AI-Assisted Integrations

Design API error taxonomies AI-generated clients can use, with stable codes, retry categories, and machine-readable details.

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Designing API Specs for Agentic Clients

Design API specs for LLM-powered agentic clients with discoverable fields, idempotency, dry-runs, semantic descriptions, and safe destructive actions.

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Spec Skills Case Study: From Ticket to Spec

Follow a vague support ticket as it becomes a shippable technical spec using Spec Skills, guided questions, and review-ready output.

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Spec Skills and Spec-First Delivery

See how Spec Skills fits spec-first delivery through constrained prompts, spec injection, boundary enforcement, and reviewable AI output.

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Quality Gates for AI-Assisted Development Specs

Quality gates for AI-assisted code: pre-prompt spec checks, diff review, test evidence, and human sign-off before generated code ships.

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