Recent Epic · One sprint · 2026

5 stories. 3 days. 43 hours of real work.

A NetSuite-native integration shipped in 3 days at 51% under the planned hours. Same architect, same code review discipline — agents removed the typing, not the thinking.

Cadence 2-week sprint Where it runs NetSuite native Stories merged 5 / 5 with evidence
Client identity withheld · architecture & implementation details generalized · numbers verified internally
88h
Planned hours
Standard estimate from sprint planning across 5 stories.
43h
Actual hours
Tracked via the platform's session hook + worklog entries.
9/9
E2E tests passing
All 5 security layers + functional flow validated end-to-end on sandbox.
3 days
Spec to shipped
All 5 stories merged with code review + QA evidence.

5 stories, every one merged with evidence.

Each card below is one story in the Epic. Plan vs actual hours, and which agents the architect ran on it. Story descriptions are generalized — no client identifiers, vendor names or repository details exposed.

Day 1
Story 1
Foundation & security baseline
24h17.5h−27%
Spec Coder QA Docs
Day 1
Story 2
Deduplication & payload validation
16h6h−62%
Spec Coder QA
Day 2
Story 3
Data enrichment & record creation in NetSuite
24h11.5h−52%
Spec Coder QA Docs
Day 2
Story 4
Operator alerting & abuse protection
8h5h−38%
Coder QA
Day 3
Story 5
Cutover runbook & closure documentation
16h3.5h−78%
Docs

A NetSuite-native receiver with a defense-in-depth posture.

Below is the abstract shape of the engagement. Specific business rules, schema, vendor identities and repository structure remain proprietary to the client.

Inbound
Partner
events
Native receiver
NetSuite
endpoint
Defense in depth
Multi-layer
validation
Enrichment
Third-party
data lookup
Outcome
Native record
in NetSuite

What was guaranteed for every inbound event

1

Authentic source

Only events provably signed by the partner are accepted. Anything else is rejected at the door.

2

No replays

Stale or captured events are detected and refused, even if technically signed.

3

At-most-once processing

Network retries are detected and absorbed — no duplicate records, no double-writes.

4

Shape validated

Required fields, types and enums are checked before any business logic runs.

5

Operator visibility

Rejections are alerted to the team with built-in rate limiting — visible but never noisy.

And the outcome

After all 5 layers pass: external context is pulled in, the right NetSuite entity is matched, and a native record is created — fully attributable.

The agents removed the typing. Not the thinking.

“The architect still ran the discovery, wrote the spec, owned every architectural decision, and reviewed every PR. What the agents did was the repetitive surface: scaffolding, boilerplate, test fixtures, internal documentation. That’s where the hours come from — not from skipping the engineering, but from skipping the keystrokes.”
H

Human kept

Discovery, technical spec, architecture decisions, scope & effort approval call with the client, PR review on every story, cutover plan, security review.

A

Agents accelerated

Scaffolding, boilerplate, test fixtures, automated QA evidence capture, internal documentation updates, runbook drafts.

Your work, shipped at this speed.

This case is one Epic of many running on the Alchemie AI platform. Same architect-led loop. Same agents in the loop. Same portal visibility — for every dollar consumed.

Talk to an architect