HireNinja: Blog

On November 18, 2025, Google introduced Gemini 3 and Antigravity—an agent‑first coding IDE that lets multiple AI agents plan, edit code, run terminals, and produce verifiable artifacts of their actions. That puts Google squarely into the agent platform race alongside OpenAI’s AgentKit and Salesforce’s Agentforce 360. If you’re a founder or engineering leader, the question isn’t who “won launch day,” but how to turn this into working software, safely, in the next 14 days.

Who this is for: startup founders, e‑commerce tech leaders, and engineers evaluating agent platforms for 2026 roadmaps.

What’s new—and why it matters

• Google Antigravity is an agent‑first IDE built around Gemini 3 Pro. It exposes editor, terminal, and browser access to agents and generates “Artifacts” (plans, screenshots, recordings) for human verification. Public preview is available on Windows/macOS/Linux. Coverage. Gemini 3 launch. Google blog.
• OpenAI AgentKit (launched Oct 6, 2025) focuses on building, deploying, and evaluating production agents with connectors and an admin control panel. TechCrunch.
• Salesforce Agentforce 360 positions for enterprise deployment, governance, and Slack integration with reasoning model options and an upcoming Builder. TechCrunch.

Why this matters now: The agent category is moving from demos to deploy—funding and production rollouts are accelerating (e.g., Wonderful’s $100M Series A to put agents on the front lines of customer service). TechCrunch. At the same time, experts warn about impersonation and safety risks in autonomous systems—so governance must ship with your prototype. Business Insider.

Antigravity vs AgentKit vs Agentforce: When to use which

Skip the platform tribalism; choose by job‑to‑be‑done and org constraints:

Choose Antigravity (Gemini 3) if you need…

• Agentic coding workflows inside an IDE with first‑class multi‑agent orchestration and artifacting for review.
• Google ecosystem leverage (Vertex, Search AI Mode) or you’re already piloting Gemini for research/retrieval.
• Fast team experiments before you commit to enterprise governance. Antigravity is ideal for controlled, developer‑led bake‑offs. Details.

Choose AgentKit if you need…

• Production deployment primitives (evals for agents, connector registry, admin control panel) and an OpenAI‑centric stack.
• A2A/MCP‑friendly builds (see our interoperability guide) with a growing ecosystem of tools and RAG components.
• Rapid path to customer‑facing agents (support, SEO, checkout) where you want tight evals and rollout controls. Our SEO agent playbook. TC coverage.

Choose Agentforce 360 if you need…

• Salesforce‑native governance, Slack surfaces, and enterprise RBAC/compliance out of the box.
• Reasoning model choice across Anthropic/OpenAI/Gemini within Salesforce guardrails. TC coverage.
• Exec‑level accountability for agents handling sensitive CX workflows.

Architecture implications: A2A, MCP, and governance

Regardless of platform, your agents should participate in a consistent agent‑to‑agent (A2A) and tool‑calling fabric, with MCP connectors for systems and a light AP2‑style action protocol for high‑risk steps (payments, PII, policy‑gated actions). Start here:

• Ship an AI agent registry + RBAC in 7 days.
• Implement agent observability and evals.
• Wire up A2A + MCP across platforms.

A pragmatic 14‑day experiment plan

Use this to compare Antigravity vs AgentKit vs Agentforce on one contained workflow (e.g., triage GitHub issues, generate a patch, open PR, run checks, and post a Slack summary).

1. Days 1–2: Scope and guardrails
   • Pick one measurable workflow; document inputs/outputs and deny‑by‑default permissions.
   • Stand up an agent registry + RBAC (sandbox tenants for each platform).
   • Define KPIs: task success rate, time‑to‑resolution, human edits per task, escape rate (policy violations), and infra cost per task.
2. Days 3–5: Antigravity pilot
   • Install Antigravity; enable multi‑agent orchestration and artifacting. What Antigravity offers.
   • Create agents for plan, code, and test; ensure each logs artifacts (diffs, terminal transcripts, screenshots).
   • Run 10–20 tasks; capture baseline KPIs and operator feedback.
3. Days 6–8: AgentKit pilot
   • Build the same workflow with AgentKit; connect GitHub/CI/Slack via connectors; set up Evals for Agents.
   • Enable MCP connectors where relevant; add approval gates for PR merges.
   • Run 10–20 tasks; record KPIs and audit logs.
4. Days 9–10: Agentforce 360 pilot
   • Deploy the workflow with Agentforce Builder (beta); surface results in Slack; apply Salesforce RBAC.
   • Log traces and approvals; run 10–20 tasks; record KPIs.
5. Days 11–12: Head‑to‑head bake‑off
   • Compare success rate, edit rate, MTTR, escape rate, and cost per completed task.
   • Qualitative: developer experience (DX), artifact quality, ease of guardrails.
6. Days 13–14: Decision + rollout plan
   • Pick a winner for this workflow; document why.
   • Define a 30‑day expansion plan; promote to a controlled production cohort with observability. See our observability blueprint.

Risk and compliance: ship safety with speed

• Impersonation and overreach: restrict identities; require signed “AgentCards” and scoped OAuth/OIDC where agents act on your behalf. See our Agent Identity guide. External risk commentary: Cohere’s Joelle Pineau.
• Payments and checkout: if your agents touch PCI/PSD2 flows, map AP2/ACP intents to PCI DSS 4.0 + SCA. Use our 10‑step mapping.
• Customer service: for peak season, scope a narrow CX agent with guardrails; see our 7‑day CX agent playbook.

How we’d recommend you proceed (Founder’s checklist)

1. Pick one workflow and run the 14‑day bake‑off above.
2. Adopt a single registry/RBAC model across platforms to avoid agent sprawl.
3. Standardize traces/evals and review Antigravity Artifacts vs AgentKit/Agentforce logs weekly.
4. Track business KPIs: cycle time, cost/task, and revenue impact for CX or SEO automations (see our SEO agent guide).
5. Plan your 2026 stack with optionality: keep A2A/MCP connectors portable; avoid hard locks unless governance demands it.

Bottom line

Antigravity is a strong agentic development environment; AgentKit and Agentforce are strong for deployment and governance. Most teams will trial Antigravity for DX and prototyping, then ship customer‑facing workflows on AgentKit or Agentforce with shared A2A/MCP rails and uniform guardrails. Use the 14‑day plan to get signal quickly—and make 2026 decisions with data, not demos.

Want help standing this up? Subscribe for our weekly agent ops playbooks—or reach out to HireNinja to design your bake‑off and ship a production pilot in two weeks.