The Forge Setup Experience: Equipping 100 Developers with Local AI by Friday

The Short Answer

Equipping 100 developers with Forge by Friday takes four days, not four months, because the appliance ships pre-loaded and the model was never the bottleneck. Identity and network topology are. A team with its LDAP or SCIM source of truth in order and a rack slot with power and a switch port can go from crate to first commit in under a week. Those four days go to provisioning seats, mapping them to the existing engineering org, and confirming the appliance sits correctly inside the network segment it's supposed to serve. None of that is exotic — it's the same identity and access work every enterprise software rollout does, done once, locally, with no vendor cloud tenant in the loop.

What "Friday" Actually Requires

A rack-and-stack appliance doesn't skip setup. The setup collapses to the parts that were always going to take four days, because the parts that normally take four weeks don't apply here: security review of a SaaS vendor, data processing agreements, penetration testing of an external API surface, procurement back-and-forth over where code embeddings live. Forge doesn't call out. There's no exfiltration path to review because there's no path.

That makes the rollout an infrastructure problem, and infrastructure problems have known timelines. A 100-developer deployment breaks into three phases. None takes more than a day and a half if the prerequisites are staged in advance.

Phase 1: Physical and Network Provisioning (Day 1)

Chassis units arrive as sealed, tamper-evident hardware. Rack them, connect power and the internal network segment, power on. There's no outbound internet dependency to configure, no firewall egress rules to negotiate with a network security team, no DNS entries pointing at a vendor's API endpoint. The appliance runs entirely inside whatever network boundary the organization already operates — SCIF, isolated VLAN, air-gapped enclave. For teams working under NIST SP 800-171 or CMMC control boundaries, this phase matters most: the appliance's network footprint gets defined once, at install, and doesn't change as usage scales.

Storage and compute sizing for 100 concurrent developer sessions is a known quantity before the box ships. Element 31 sizes Chassis hardware to the seat count at order time, not at runtime, so there's no capacity surprise to troubleshoot mid-rollout.

Provisioning 100 Seats Without a Cloud Identity Provider

This is where most teams expect friction and mostly don't find it. Forge doesn't need a live connection to Okta, Entra ID, or any external IdP to issue seats, because there's nothing external to check against. What it needs is a local identity source — an on-prem LDAP directory, a local Kerberos realm, or a flat file export from whatever HR/IT system already tracks who's on the team. That source syncs once and updates on a schedule that fits the organization's change-control process, not a SaaS vendor's uptime SLA.

For a 100-person rollout, the sequence looks like this:

• Export or point Forge at the existing engineering directory group (day 1, in parallel with hardware provisioning)
• Map directory groups to Forge seat tiers. Not every developer needs the same model access or context window budget, and grouping by team — platform, applications, ML — rather than assigning individually cuts admin time substantially
• Issue local credentials or bind to existing SSH/PKI-based auth if the organization already uses certificate-based developer access, common in defense contracting environments
• Validate a sample of 5-10 accounts across different teams before pushing the full batch, catching group-mapping errors before they multiply across 100 seats

Teams skip that validation step and regret it. A misconfigured group mapping caught at account 6 costs ten minutes. The same error caught at account 94, after three days of "why can't half of platform engineering log in" tickets, costs the rest of the week.

Per-Seat Access and the Reality of Heterogeneous Teams

A hundred developers are never a hundred identical users. Some need broad repository access because they work across the monorepo. Others should be scoped to a single service. Forge's seat model maps access control to the codebase boundaries the organization already enforces, rather than defaulting to "everyone sees everything" and turning the lockdown into a second project.

This matters more in regulated environments than most access-control conversations give it credit for. A team building under ITAR-controlled technical data restrictions already has a defined set of who can see which repositories. Forge inherits and enforces that boundary instead of creating a parallel permission system someone has to keep in sync by hand. Getting this right during rollout, rather than retrofitting it later, is most of what separates a clean Friday deployment from one that technically finished on time but generates access-review tickets for the next two months.

What Goes Wrong (and It's Rarely the AI)

When a 100-seat Forge rollout slips, the cause is almost never model performance or appliance stability. It's usually one of three things: the network segment the appliance was racked into doesn't actually reach the code repositories developers need indexed, the directory sync was scoped to the wrong OU and missed a subteam, or nobody checked seat-tier assignments against actual usage patterns before go-live, so half the team is under-provisioned for context window on day one.

A half-day dry run with a pilot group of 10-15 developers catches all three before the full rollout, and it's worth building into the Friday timeline rather than treating as optional. Pilot on Tuesday, full provisioning Wednesday through Thursday, Friday go-live with the whole team — that gives room to fix a misrouted VLAN or a stale directory export without it becoming a weekend incident.

The Operational Payoff

This timeline holds up because it mirrors how organizations already provision any other piece of on-prem enterprise software: a build server, an internal artifact repository, a code review tool. Forge doesn't introduce a new operational category. It removes the one that normally adds months — vendor security review, data residency negotiation, procurement cycles tied to a recurring cloud contract. What's left is rack, sync directory, map seats, validate, go live. The same sequence IT teams already run for infrastructure they trust, applied to a coding copilot that happens to never leave the building.