“It works, but nobody understands it.”
Instrument the system, recover its real behavior, and reduce risk before deciding whether to repair or replace it.
/problems
Bring us this.
Buyers usually recognize a failure mode before they know which service name to use.
“We're doing this manually every day.”
Map the operation as it actually happens, then automate the repeatable path while keeping exceptions visible.
“The API doesn't expose what we need.”
Combine supported APIs, browser control, reconciliation, and careful boundaries without pretending the missing capability is trivial.
“Our AI agent is slow and unreliable.”
Separate deterministic software from genuine reasoning, bound failures, and measure the result with representative evaluations.
“We found vulnerabilities. Now somebody has to fix them.”
Translate findings into architecture changes, patches, and regressions that the delivery team can keep.
“We inherited this system.”
Make dependencies, state, failure, and recovery observable enough to change the system safely.
“This takes 90 seconds and should take 5.”
Profile the whole path before scaling or rewriting. Waiting often hides in several ordinary places.
“The prototype needs to become a product.”
Replace demo assumptions with explicit state, controlled dependencies, observability, testing, and predictable failure.
“These systems need to cooperate.”
Create a small durable boundary for normalization, idempotency, retries, reconciliation, and auditability.
“The software matters enough to challenge.”
Review how it authenticates, authorizes, trusts, stores, calls, and fails—and stay for remediation when useful.
Start without a complete specification.
Send the system, constraint, symptom, or risk in the language you already have.