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Product updates and ideas from floo.

Building a shared silicon design workspace with agents

A shared workspace for design inspection, review comments, and analysis jobs, built with agents and backed by durable data.

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floo team
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What deployment infrastructure does a software factory need?

A software factory needs more than repo-based execution. It needs isolated running systems, machine-readable feedback, clear human boundaries, and bounded recovery.

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floo team
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Database vs cache vs queue vs object storage

Choose where application state belongs by durability, payload shape, access pattern, staleness, retention, transactional coupling, and delivery semantics.

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floo team
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What should deployment infrastructure return to a software agent?

Agent-native infrastructure returns stable identity, explicit state, scoped diagnostics, provenance, safe retries, and clear authority boundaries.

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floo team
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floo vs Neon for software factories

Compare Neon and floo for systems where agents build and modify software, people use it, and repeatable work keeps running.

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floo team
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floo vs Railway for teams shipping with agents

Compare Railway and floo for systems where agents build and modify software, people use it, and repeatable work keeps running.

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floo team
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floo vs Supabase for applications built with agents

Compare Supabase and floo for systems where agents build and modify software, people use it, and repeatable work keeps running.

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floo team
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floo vs Vercel for full-stack software factories

Compare Vercel and floo for systems where agents build and modify software, people use it, and repeatable work keeps running.

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floo team
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When should an agent need human approval to ship software?

Human approval should follow consequence, not authorship. Agents should move through isolated work and stop at launch, access, spend, and data-risk boundaries.

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floo team
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What infrastructure does a production application need?

A production application needs the smallest correct combination of compute, durable state, routing, configuration, environments, and operations for its actual workload.

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floo team
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Postgres vs Redis: when do you need each?

Start with Postgres for durable relational state. Add Redis when a measured workload needs shared low-latency coordination, caching, rate limits, streams, or queue semantics.

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floo team
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What is a production-shaped preview environment for AI agents?

A production-shaped preview preserves an app's real topology, routing, policy, migrations, and managed services while isolating mutable state.

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floo team
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Why should deployment configuration remain reviewable in git?

Auditable application shape needs one durable source of truth. Git makes infrastructure changes reviewable, attributable, reproducible, and safe for agents to propose.

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floo team
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Why does shared staging break when software agents work in parallel?

Shared staging makes concurrent agent changes interfere through services, data, queues, migrations, and configuration. Branch-scoped previews restore attribution.

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floo team
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How should agents test database migrations without touching production?

Agents should test migrations against isolated, representative state through the real deployment lifecycle, then prove application compatibility before release.

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floo team
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Web service vs worker vs cron job

Use a web service for request-response work, a worker for asynchronous or continuous work, and cron to trigger work because of time. Design retries and idempotency separately.

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floo team
Ideas