We automate website change requests, QA testing pipelines, deployment workflows, and performance monitoring — so your dev team ships faster and breaks fewer things.
The AI Web Development Engine turns your web operations into an automated pipeline. Change requests get triaged and templated automatically. QA test runs on every PR. Deployments trigger on approval. Performance regressions alert before clients notice. We connect your project management, Git, CI/CD, and monitoring tools into one intelligent workflow layer.
What Gets Automated
We identify the exact workflows eating your team's time and automate them end-to-end.
Incoming change requests (email, Slack, form) are parsed by AI, categorised by type and complexity, assigned to the right developer, and logged in your project tool automatically.
On every pull request, the engine runs your test suite, generates a pass/fail report, flags regressions, and posts the summary as a PR comment — no manual QA trigger needed.
Approved PRs trigger staging deployment automatically. One-click promotion to production with rollback capability if performance metrics drop.
Core Web Vitals, uptime, and error rate tracked continuously. Automated alert to Slack/PagerDuty when thresholds breach — with the specific page and metric attached.
Figma files converted to component specs automatically, with developer notes, asset exports, and Storybook references generated and posted to your PM tool.
Weekly scan of outdated packages. Auto-generates a PR with updated dependencies, runs your test suite against it, and flags breaking changes for human review.
Book a free 30-min strategy call and we'll map out your first automation sprint.
How It Works
A structured sprint process — no bloated discovery phases, no 6-month project timelines.
We review your current dev workflow — tools, bottlenecks, and team pain points — to identify where automation delivers the most value.
We design the end-to-end automation: triggers, routing logic, approval gates, and integrations across your full toolchain.
We build the workflows using your existing Git, CI/CD, and PM tools — no migration required. Two-week test cycle before go-live.
Monthly tuning sessions, new workflow additions as your team grows, and instant support when something breaks.
Proof It Works
See how businesses like yours eliminated manual work and scaled with AI.
FAQ
GitHub, GitLab, Bitbucket, Jira, Linear, Notion, Slack, Vercel, Netlify, AWS, Google Cloud, Cloudflare, PagerDuty, Figma, and most tools with a webhook or API. We confirm the full stack during scoping.
No. We build the automation around your current tools and processes. The engine adds intelligence and triggers to what you already have — not a replacement.
Yes. We can automate client status update emails or Slack messages triggered by milestone completions, deployment events, or ticket closures — keeping clients informed without developer effort.
Monorepo setups are fully supported. We configure service-specific workflows with path-based triggers so only the affected services run QA and deployment pipelines on each change.
A developer writes code. This engine handles the operational layer — request intake, QA, deployment, monitoring — so your existing developers spend more time building features and less time on process overhead.
Get Started
Book a 30-minute call. We'll map out exactly which workflows to automate first and give you a realistic timeline and pricing estimate — no fluff.
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