We embed with your team for 4-6 weeks, build custom automation tuned to your codebase, and hand it off. You own everything. No recurring dependency.
Off-the-shelf generation tools don't understand your conventions, module boundaries, or your review standards. The output compiles, but your senior engineers spend more time fixing it than it saved. Teams report that 30-50% of generated pull requests need non-trivial rework before they're mergeable.
The alternative - building custom automation internally, rarely gets prioritised. Meanwhile, your most experienced engineers keep hand-writing CRUD endpoints, data mappers, and integration glue that follows patterns already in your codebase.
We embed with your engineering team for 4-6 weeks to build a custom automation layer directly on top of your codebase. We write custom pipelines, calibrate generation rules against your actual code patterns, and wire everything into your existing CI/CD and review flow.
The deliverables include generation pipelines that produce code matching your conventions, review workflows calibrated to your team's standards, and a codebase-indexed retrieval layer that keeps generation accurate as your architecture evolves. At the end of the engagement, your team owns and operates the entire system with no recurring licenses.
Code Generation Pipelines. Workflows targeting your highest-impact repetitive work - API endpoints, data layer boilerplate, test development, integration adapters. Output matches your conventions and passes review at 80%+ acceptance rates.
Automated Review Gates. Validation wired into your CI/CD that checks generated output against your type contracts, naming conventions, and coverage thresholds before it reaches a human reviewer. Your engineers review exceptions.
Codebase Index + Operations Runbook. A retrieval layer that gives generation tools accurate context on your architecture - plus a complete runbook so your team can maintain, tune, and extend everything independently.
No proprietary platform, no recurring license, no black box. Every pipeline and config file lives in your infrastructure. If you never talk to us again, the system keeps working.
We index your actual code: naming conventions, module boundaries, error handling. Then generation is calibrated against what your team already considers good code.
Generation systems we've delivered handle codebases with hundreds of modules, mixed paradigms, and years of accumulated conventions.
We deliver it in 4-6 weeks without consuming your team's capacity - and every hour your engineers would have spent building it themselves goes to the roadmap instead.
Read-only repo access, structural analysis, convention mapping. If you completed an Automation Readiness Audit, we skip straight to pipeline design.
Build generation pipelines targeting your highest-impact repetitive work. Each pipeline tested until generated output passes your review gates at 85%+ acceptance.
Pipelines wired into CI/CD and review flow. Your engineers start using the system daily with our team available for real-time adjustments.
Complete handoff: operations runbook, tuning guide, live walkthrough. 30-day support window post-handoff for questions and edge cases.
One-time, construct and hand-off. Typically 4-6 weeks. Your team owns everything at the end no recurring fee, no subscription. Re-calibration later if needed is a separate scoped engagement.
Copilot and Cursor generate code from general training data. They don't know your naming conventions, can't enforce your type contracts, won't produce integration code that references your actual module boundaries, and have no way to validate output against your CI pipeline before a human sees it. We build all of that - custom pipelines that generate code the way your team writes it, with automated review gates that catch convention violations before they reach a reviewer. The difference: Cursor gives you a rough draft. We give you a system that produces mergeable code.
Primary:
TypeScript/JavaScript, Python, Go, Java, Kotlin, and Spring - these are the stacks where we've shipped production pipelines.
Supported:
Swift, Rust, C#, React, Next.js, Django, .NET. If your stack isn't listed, raise it on the scoping call - we'll confirm fit within 24 hours.
Fixed-fee, scoped during the discovery call based on codebase complexity and number of target pipelines. Engagements range depending on scope - we'll give you a firm number before you commit. No hourly billing, no retainers.
No, but it helps. With a completed Audit, we skip Week 1 and start building immediately - shorter engagement, lower cost. Without one, the first week includes a focused assessment of the areas most relevant to pipeline design.
Before Streamlogic stepped in, our media pipeline was already efficient. Now it's exceptional. Their team embedded a system that adapts, learns, and scales with our production flow. What used to take hours now takes minutes. What used to slip through cracks now comes out polished. We've seen a measurable lift in both output volume and content quality.
As a design-led studio, our work lives in the details - textures, lighting, growth patterns. Before Streamlogic, visualizing complex botanical installations meant hours of manual prep and rendering. They built us an automation layer that feels almost magical: it pulls data from our planning tools and generates near-final visuals in a fraction of the time. We gained headspace. Now my team spends more time designing, less time chasing files. And for the level of quality they delivered, the investment was fair and smart.
In the legal field, precision, security, and responsiveness are the baseline. What impressed us most about the team at Streamlogic was their discipline, structure, and proactive style of work.