Case studies and live products across platform engineering, AI, cloud, integration and security, described as they were built: the problem, the decisions and what was delivered.
How we approached each engagement, the decisions we made and what was delivered.
An agent framework and publishing service that tests a visually designed agent on the same runtime it is published on, then deploys it as its own service for each environment.
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A shared model catalogue and gateway that let teams choose and change models without rebuilding their workflows, with keys, budgets, guardrails and tracing handled in one place.
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Unit, integration and end-to-end tests for a Python backend that had none, run on every pull request and required to pass before a release can merge.
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Scheduling, peak and off-peak pricing, online payment, staff roles, automated notifications and revenue reporting in one platform, launched in four months ahead of peak season.
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A two-month migration, driven by a firm-wide tightening of access control, that put every application on Azure under Microsoft Entra ID, defined in Pulumi, with secrets in Doppler and Key Vault.
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Access rules held in one service and decided inside each application from a cached copy, chosen by benchmarking five frameworks and integrated one application at a time.
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A pipeline step that runs a chosen language model over every row of a table, returns typed fields that match a schema the user defines, and marks each row as answered or failed.
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Pipeline steps that read and write email, attachments and documents in Microsoft 365, acting with each user's own delegated access.
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The orchestration core of a low-code platform, running visually connected steps in dependency order with breakpoints and resumable runs.
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Step-by-step run logs streamed to the browser as they are written, and cancellation that reaches whichever server is running the pipeline.
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Every commit built once and the same image promoted from development to staging to production, with tests, quality and vulnerability checks blocking the merge.
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A hierarchical access model in which permissions granted on a workspace or project apply to everything inside it, checked on every request.
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Each run of user-written Python gets its own Firecracker microVM on Azure, with fixed memory, no network by default and no platform secrets, and documents are parsed in a service of their own.
Read case studyProducts in production today that we helped build.
