Hackerai

The core design decision in HackerAI is that the interface is a conversation, not a dashboard. That matters more than it sounds. Most scanning tools produce a findings list that a developer without security background cannot act on; HackerAI's answer is to let you ask follow-up questions about a finding and get a remediation walkthrough. For solo developers and small teams, that lowers the barrier enough that scans actually happen on a pull request instead of in a quarterly security review. The second notable decision is execution locality. Local mode runs commands on your own machine, and cloud agents run in what HackerAI describes as an isolated sandbox it hosts — the Security & Trust page is where it spells both out. That gives you a real choice about where sensitive code gets processed, which is a question more teams are asking. Pricing is structured around usage rather than seats: Free is a basic model with limited responses and a local sandbox; Pro at $29/mo billed monthly is the tier where the best models, file uploads, cloud agents, and the maximum context window arrive; Pro+ at $60/mo billed monthly triples Pro's usage; Ultra at $200/mo billed monthly gives 10x Pro usage and priority access to new features; Team is $40 per seat per month billed monthly with shared billing and seat management. Yearly billing is advertised at 17% savings. Two things you should price in before committing: usage is metered, and overflow runs through an Extra Usage prepaid balance that you must enable yourself and that bills separately from the subscription — so heavy daily use can cost more than the sticker tier. And refunds depend on your location and timing, so a change of mind is not guaranteed to be cheap. Where it does not fit: this is not a full penetration-testing suite. There is no evidence in HackerAI's own materials of network-level scanning, manual exploit chaining, on-premise air-gapped deployment, or enterprise compliance auditing. Advanced pentesters will find it shallow. Regulated enterprises with air-gap requirements should look elsewhere. If you need deep application-layer depth as part of a platform your security team already runs, Snyk and Semgrep address different parts of the problem than HackerAI does. Treat HackerAI as the on-ramp that gets a small team scanning regularly, not as the thing that replaces a pentest engagement.