Samuel Hower

FlashTeams Founder

[Samuel Hower @SamuelHower01]

The biggest challenge and time consumer facing software organizations today is translating information between business intent, spec, and code.

Executives, business leaders, analyst, and sales all understand the business intent. Taking an idea or problem transforming that into a large spec grounded in the hundreds of thousands line codebase is difficult, mistake-ridden, and slow.

FlashTeams solves this. We take any requirement, create a plan grounded in the codebase, with full audibility and accuracy, and then manage the execution of that plan whether it be via Agents or Engineers.

[Samuel Hower @SamuelHower01]

Ever try turning a 350 page document into a knowledge graph?

See below🤯😎

[Samuel Hower @SamuelHower01]

Does anyone know of benchmarks that test coding agents on very large codebases (>>100,000 lines of code)?

[Samuel Hower @SamuelHower01]

@jonathan582 Hi John, would be happy to tell you more about it and to show you a demonstration.

I tried to DM you but your message box is closed. Let me know the best way to contact you.

[Samuel Hower @SamuelHower01]

Reading source code will not optimize context engineering.

At FlashTeams, we engineer maps of codebases so AI can plan fast (in seconds) even over the largest codebases.

Below is a 50 million line codebase mapping of Odoo

[Samuel Hower @SamuelHower01]

I find that enterprises are at all different stages of integrating AI into their software development lifecycles.

Cursor and Claude Code are often used but stages beyond coding like project-level planning and staffing are still fairly manual.

Has anyone tried automating these and, if so, what is stalling companies from using it?