We built a complex trading‑automation platform at ~1.8× the scope per dollar vs. AI‑assisted coding alone.
An AI‑driven SDLC delivered multi‑stage trading‑automation platform — faster development, fully automated QA, and about 1.8× the scope per dollar of AI‑assisted coding alone.
Genuinely hard software, with zero tolerance for sloppy correctness.
A trading‑automation startup needed a no‑code platform for automated, multi‑stage management of stock and crypto trading positions. Not a CRUD app — a real‑time engine where many parameters interact continuously, all running in parallel. The kind of scope that normally takes a team months.
An AI‑driven SDLC. Agents do the volume, engineers own the judgment.
Six stages — plan, design, build, review, test, release — with a quality gate between every one. Two engines work together: faster AI‑driven development, and automated QA the pipeline authors and runs itself. Senior engineers own judgment at each gate.
About 1.8× the scope per dollar — on realistic assumptions.
For the same ~1,800‑story‑point scope, our cost analysis modeled the AI‑SDLC path at roughly 45% lower total cost than AI‑assisted coding alone. The advantage is the combination of faster development and AI‑authored automated testing. That scope was the full engine — staged entries, volume distribution, dynamic and trailing stops, partial take‑profits, and break‑even automation — built, tested, and documented.
The mechanism, in plain terms.
Volume from agents, judgment from engineers — that combination is why the numbers hold up.
If we can build this, we can build yours.
Complex, correctness‑critical software — built fast and cost‑effectively. Founder racing to a milestone, agency scaling delivery, team rescuing a stalled build, or enterprise modernizing: the same pipeline applies.
Bring your hardest build. In 15 minutes we'll walk you through how the pipeline would approach it — no slides, no pitch.
- ✓ A concrete plan for how the pipeline would tackle your build.
- ✓ A rough timeline and an honest read on feasibility.
- ✓ A low‑risk way to start — a fixed‑scope first sprint, so you see real output before any big commitment.