incremental-development-cadence

A workflow for implementing multi-step changes one logical unit at a time. After each step, it requires checking the design, adding tests, adding English and Chinese translation keys when needed, and updating documentation for new conventions.

In plain words
What is it for?
Use it when implementing several functions, endpoints, or components, especially when the change adds user-visible text or shared development rules.
Why use it?
It catches design mistakes and missing tests or translations earlier instead of leaving them until the end of a large change.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/microsoft/data-formulator/incremental-development-cadence
Clone the repo
git clone --depth 1 https://github.com/microsoft/data-formulator

Made for: Cursor.

Per session 255 This file is loaded in full into every session.
When invoked 255 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00255 $0.00255
Opus 5 $0.00128 $0.00128
Sonnet 5 $0.00051 $0.00051
Haiku 4.5 $0.00026 $0.00026

Measured 2d ago against content hash 2b6289be1d0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

incremental-development-cadence scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/incremental-development-cadence.mdc · 24 lines

What it actually says

Incremental Development Cadence

Multi-step tasks MUST be implemented one step at a time. After each logical unit (function, endpoint, component), complete all cross-cutting concerns before moving on.

After Each Step

  1. Verify against design doc — compare with design-docs/ or issue spec; raise deviations before continuing
  2. Add tests — write/update tests for the just-implemented code, run and confirm green
  3. Add i18n keys — if user-visible text was introduced, add en + zh keys immediately
  4. Update docs — if a new cross-cutting convention was introduced, update dev-guide/Rule immediately

Banned Patterns

  • ❌ Implementing 3+ functions/endpoints before writing any tests
  • ❌ Sweeping all i18n keys in a final pass after all code is done
  • ❌ Checking design docs only after the entire implementation is complete
  • ❌ Mentioning "tests and i18n still needed" only in the final response
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 24 lines · 255 tokens per session scan A 2b6289be1d0f

Subscribe to this mod's changes

incremental-development-cadence is a cursor rule published in the GitHub repository microsoft/data-formulator (17,048 stars, last pushed 3d ago), licensed MIT. It adds 255 tokens to every session, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.