Opportunities › Reliable AI-powered coding assistance for developers › Proposed app
Steady Diff
AI code patches tested in a sandbox before you have to read them
- Score
- 47
- confidence 46
- Evidence
- 3
- items on the page
- Rivals
- 2
- named in sources
- First version
- 35 d
- estimate
- Type
- Desktop app
- PWA: runs in the browser, installs on Mac and Windows
- Market since
- 2021
- Emerging market · AI estimate
ScreensConcept
Desktop app: Developers work with AI code generation at their desk, reviewing patches, comparing model performance, and managing pull requests during development sessions. Sample screens on a computer, in the proposed brand. Their numbers are sample data.
New task
Ready to run- Repoapi-server
About this appAI proposal
Steady Diff sits between you and the AI model you already use. You describe a task, it asks the model for a patch, applies it in an isolated copy of your repo and runs your tests, linter and type checks. You see patches that passed, or a clear report of why they failed.
It is for developers who use AI coding assistants and are tired of hand holding: re-prompting, checking output by eye and fixing small errors. It adds a checking loop that retries with the real error messages, so less correction lands on you.
You bring your own model key, so you can use open or paid models and compare how often each passes your own checks. This is a proposal: the bet is that reliability can be improved around the model, not only inside it.
- Tagline
- Read the patch that already passed.
- Voice
- CalmPrecisePlain
- Why this name
- Steady points to dependable output without constant supervision; Diff is the unit developers review. Two plain words, easy to say.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Tested before shown
Every suggested patch is applied in a sandbox and run against your tests, linter and type checker. Failing patches are retried, not handed to you.
No member yet
Auto-retry with real errors
When a check fails, the exact error output goes back to the model for another attempt, up to a limit you set, so you skip the manual loop.
No member yet
Pass rate by model
See how often each model's patches pass your checks on your repo. Choose a model with data instead of impressions.
No member yet
Bring your own model
Connect any model API, hosted or open. Steady Diff does not lock you to one provider.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#1F5F5BDeep Teal · primary#F6F3ECPaper · surface#1F2A2EInk · text#D9822BAmber · accent#3B7A57Moss · data, pass
Typography
Aa
Steady Diff
ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789
Read the patch that already passed.
PricingAI proposal
The material gives no price for Codex or any other product, only that developers pay subscriptions. These tiers are a starting point to test, not based on a competitor price.
Free
Free
- 1 repo
- 10 verified tasks a month
- Bring your own model key
Solo
$20 a month
- 5 repos
- Unlimited tasks within sandbox minutes
- Pass-rate by model
- Pull request hand-off
Team
$40 a month
- Per seat, unlimited repos
- Shared check settings
- Team pass-rate reports
- Priority sandbox capacity
Would you pay Solo · $20 a month?
Your answer tells PWAS which prices people accept. It changes no score.
No answers yet.
What it could be worthEstimate
What a software business making this much sells for today, from real deals. Pick a monthly revenue.
If it makes
Worth about
$194,000
Sale range $132,000 to $263,000
$120,000 a year in revenue
From 87 software businesses listed and sold on Empire Flippers in the last year, revenue vetted by the broker: they sell for about 19× their monthly revenue, most between 13× and 26×.
Measured on profit, the middle deal is 32× monthly net profit: about 2.7 years of profit.
An estimate, not an offer or financial advice. A real price depends on profit, growth, churn, how much of the work is the owner's, and the buyer.
How it would growAI proposal
How the product would reach new customers through its own use, and how the first ones would be found. A plan to test, not a result.
- Built-in loop
- Shared outputs. Pull requests opened by Steady Diff carry a short verification report in the description. Teammates and reviewers who read it see the checks run and where it came from.
- Do they become customers?
- Reviewers are developers who could sign up, but a PR reader may never use it. Test whether any reviewers click through and start their own task within a month.
- First customers
- Solo developers and small teams of 2 to 10 who use open models for coding in one language ecosystem with existing automated tests, such as TypeScript web backends.
- Where to reach them
- Hacker News: Share a Show post with real pass-rate numbers comparing open models on public repos, and talk with commenters about hand holding.
- Open source maintainer communities: Offer free runs on public repos in exchange for feedback and permission to show verified pull requests.
- First milestone
- Ten developers each run 20 or more tasks in a month, and five of them pay for Solo.
Why people already pay for this
- Public claimDevelopers see substantial productivity improvements when switching from open AI models to paid, more reliable coding assistants.
- Public claimOpen AI models require manual intervention and guidance to produce useful coding suggestions.
- Public claimDevelopers pay subscription fees for AI coding assistance.
Tech stack
Every proposal builds on the same PWA base, installable from the browser on any phone or computer. Dashed boxes are what this app adds.
- AppNext.js and TypeScript
- PWAManifest and service worker
- UITailwind CSS
- Data and authSupabase Postgres
- PaymentsStripe
- EmailResend
- HostingVercel
- This app · Code sandboxIsolated container runner for untrusted codePatches must be run against the user's tests safely, with time and network limits.
- This app · Job queueBackground worker queueRuns take minutes and retry several times, longer than a web request.
RisksAI inference
- TechnicalRunning each repo's tests needs correct environments, dependencies and secrets. Setup may fail often and be the main cost of onboarding.
- CommercialAssistant vendors may add built-in test-and-retry loops, making a separate layer unnecessary. Evidence is only public claims from one forum.
- TechnicalPassing tests does not mean a patch is correct. Weak test suites could give false confidence.
- DataSending private code to model APIs and sandboxes raises trust and compliance concerns for teams.
- CommercialSandbox compute and retries cost money per task, which may squeeze margins at a flat subscription price.
Everything marked AI proposal or AI inference was written by a model from the evidence on the opportunity page. The proposed name must be checked against trademark registers before it is used.