View as agent
This is what an AI agent reads. Same page, second kind of user.
Every page on this site has a markdown version that agents can read, cite, and act on, with links that lead to more markdown. Your software is getting the same new user. We help make it ready.
/solutions/ai-enabled-custom-development.md131 lines · 6 KB · text/markdown
---title: "AI-Enabled Custom Software & Modernization | AppStream Studio"description: "Custom software and legacy modernization, accelerated by our own agent tooling. Flat monthly fee, senior review on every merge, and you own the repo."url: https://appstream.studio/solutions/ai-enabled-custom-developmentmarkdown_url: https://appstream.studio/solutions/ai-enabled-custom-development.md--- 1. [Solutions](https://appstream.studio/solutions.md)2. [Engineer](https://appstream.studio/solutions/engineer.md)3. AI-Enabled Custom Development AI-Enabled Custom Development # Custom software, built faster, and billed that way. Production AI still runs on production software. We build and modernize the systems AI has to live inside, with our own agent tooling doing the repetitive parts. A flat monthly fee means a shorter build is fewer months on your invoice. [Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) · [Explore Engineer](https://appstream.studio/solutions/engineer.md) [Part of 02 Engineer Turn possibility into production. AI integration & modernization](https://appstream.studio/solutions/engineer.md) Where this sits in the lifecycle 1. [01 Advise](https://appstream.studio/solutions/advise.md)2. [02 Engineer You are here](https://appstream.studio/solutions/engineer.md)3. [03 Operate](https://appstream.studio/solutions/operate.md)[Govern Runs across all three](https://appstream.studio/solutions/govern.md) The problem ## Custom software is quoted from headcount and months. When scaffolding, migrations, and first-pass review are billed at senior rates, you pay for typing instead of judgment. - Quotes priced by headcount and months, not outcomes- Senior rates charged for boilerplate and glue code- A change order every time scope moves- AI-generated code nobody on the team will own How we work ## Four steps. One team the whole way. 1. 01### Scope against the real systemMap what has to be built, what exists, and what can be generated. The estimate comes from that, not a headcount spreadsheet.2. 02### Agent-assisted buildOur tooling handles scaffolding, migrations, test coverage, and first-pass review. Engineers spend their hours on judgment.3. 03### Senior review on every mergeNothing lands without the engineer who will maintain it. Generated code is reviewed like any other code, or it doesn’t ship.4. 04### A handover you can leave withYour repo, your stack, your documentation. Nothing depends on our tooling once we’re gone. What’s included ## What AI-enabled custom development covers. In practice. - ### Agent-assisted scaffoldingStructure, boilerplate, and glue code generated and reviewed, so engineers start on the hard parts.- ### Automated test coverageTests written alongside the code, so coverage isn’t what slips when the deadline moves.- ### First-pass code reviewTooling catches the obvious first, so human review goes to design and correctness.- ### Migration & modernizationThe mechanical half of moving a legacy codebase handled at machine speed: renames, API shifts, framework upgrades.- ### Flat-fee engagementsA dedicated squad at a flat monthly rate. No time-and-materials invoices, no change orders.- ### Clean handoverDocumentation, runbooks, and a repo your team can pick up without learning our tools. What you can hold us to ## Commitments. Not marketing ranges. What the engagement commits to, not measured outcomes. not hourly Flat fee A shorter build is fewer months on the invoice human-reviewed 100% Nothing merges without the engineer who will maintain it from day one Your repo Your stack and docs, with no dependency on our tooling Go deeper ## More under Engineer, and beyond. - [Engineer Turn possibility into production. Build the applications, agents, integrations, and data infrastructure that put AI inside real business workflows.](https://appstream.studio/solutions/engineer.md)- [Agent Engineering Agents that do the work inside your systems, not beside them.](https://appstream.studio/solutions/agent-engineering.md)- [Agent Knowledge Layer AI is only as good as what it knows about your business.](https://appstream.studio/solutions/agent-knowledge-layer.md)- [Agent Strategy Know which workflows AI should take on first, before you fund the build.](https://appstream.studio/solutions/agent-strategy.md)- [Forward-deployed engineers However you start, our engineers embed with your team: your Slack, your repo, your standups.](https://appstream.studio/forward-deployed-engineers.md) ## Bring us the backlog. We’ll clear it. The work your team would reach next quarter if it had the capacity. Tell us what’s on it and we’ll tell you what a senior squad at a flat rate clears, and how fast. [Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) · [See our work](https://appstream.studio/case-studies.md) --- ## AppStream Studio AppStream turns frontier AI capabilities into production systems that perform real work. Talk to an AI engineer: https://appstream.studio/schedule-a-discovery-call · Email: contact@appstream.studio - [Home](https://appstream.studio/index.md)- [Solutions](https://appstream.studio/solutions.md)- [Advise](https://appstream.studio/solutions/advise.md)- [Engineer](https://appstream.studio/solutions/engineer.md)- [Operate](https://appstream.studio/solutions/operate.md)- [Govern](https://appstream.studio/solutions/govern.md)- [How we work](https://appstream.studio/how-we-work.md)- [Work (case studies)](https://appstream.studio/case-studies.md)- [Industries](https://appstream.studio/industries.md)- [Insights](https://appstream.studio/blog.md)- [Partners](https://appstream.studio/partners.md)- [About](https://appstream.studio/about-us.md)- [Contact](https://appstream.studio/contact.md) Agents are becoming a second user of your software. Readable content is the start. Scoped, auditable access for agents to act is the next step.
Talk to an AI engineer