Feed/AI/@AntFleetDev
71
Score · promising

@AntFleetDev

AntFleet

AntFleet is an AI-powered code review infrastructure layer that uses two-model consensus (Claude Opus 4.7 + GPT-5) to independently audit agent-generated code. The platform has shipped verifiable receipts showing 68 findings across real GitHub PRs, with 16 upstream fixes already merged into external production repos. The team is building public trust infrastructure for autonomous agent code with SHA-pinned evidence and transparent on-chain verification of review outcomes.

AI Analysispromising

Confidence
82%

AntFleet is an AI-powered code review infrastructure layer that uses two-model consensus (Claude Opus 4.7 + GPT-5) to independently audit agent-generated code.

The platform has shipped verifiable receipts showing 68 findings across real GitHub PRs, with 16 upstream fixes already merged into external production repos.

The team is building public trust infrastructure for autonomous agent code with SHA-pinned evidence and transparent on-chain verification of review outcomes.

Green flags: Very early stage (771 followers, account <1 month old) with real traction: 16 upstream PRs merged across 5 external repos · Novel two-model consensus approach with public verifiable receipts on GitHub — not just AI review comments · Working product: live on mainnet with public receipt dashboard, API, and active agent integration · Strong technical differentiation: SHA-pinned closure receipts, cross-repo tracking, transparent disagreement logging · Real adoption signal: merged fixes into notable repos like bitterbot-desktop (2084 stars), winning bug bounties autonomously

Red flags: Extremely new account (created May 17, 2026) — limited track record to assess longevity · No explicit token mention yet, though 'trust layer' positioning suggests potential tokenization path · Small team visibility — no clear founder profiles or backing disclosed on website

Token
No · pre-launch
Chain
Stage
mainnet+live
Category
code review infra

Recent tweetsSee all on 𝕏 →

[Stage 3] - Reachability finding vulnerable code isn't enough. can an attacker actually reach it? every AntFleet finding now goes through a third independent model asking one question: is this line reachable from a real entry point? no reachability. no finding. https://t.co/VHm9osbljS
5h ago2💬 1🔁 0
[Stage 2] - Memory most scanners forget everything after every scan. AntFleet doesn't. every review updates a living threat model: • trust boundaries • entry points • sinks • secrets • critical assets the longer AntFleet watches your repo, the smarter it becomes. https://t.co/RrJJ2P31mB
3d ago4💬 1🔁 0
[STAGE 1] - AI review what most people know as AntFleet is now only Stage 1. two frontier models. independent review. consensus as the trust primitive. that solved "finding vulnerabilities." the harder problem starts after that. stay tuned 👀 https://t.co/5r4pXYdV4B
4d ago5💬 0🔁 0
benchmark: antfleet two-model review on tylerbroqs/orlixai @tylerbroqs @tylerbroqs unanimous (claude opus 4.7 + gpt-5.5): → https://t.co/xRunLEawZc overwritten with non-unique value causes approval collisions → Memory corrupt JSON load can silently overwrite stored data → AuditLog read-modify-write can lose receipts under concurrency → API keys written with world-readable default permissions fix PR: https://t.co/j7p8IUde0z methodology: https://t.co/ad4GdH8Tko your repo: https://t.co/D1cqyTWPC4
5d ago5💬 0🔁 0
150 reviews analyzed 112 findings posted 21 patches landed across 7 repos 21 hour median time to fix finding bugs isn't the bottleneck anymore - getting the fix accepted upstream is. every patch is a maintainer-reviewed PR on a repo antfleet doesn't own. → https://t.co/6ePA99Eo9C
6d ago5💬 0🔁 0

Signal Timeline

DY
@Dylan_HODL followed
BFirst discovered·3w ago

Score breakdown0–100

🎯Scout quality
+18.55 / 25
📚Signal stack
0 / 30
🪪Profile
+17 / 15
✍️Content
+11 / 10
🤖AI verdict
+30 / 20
⚠️Penalties
-6 / 20
71
Below threshold (70)
Watching for additional signals.
Followers
771
Account age
1mo
Scouts
0
First seen
3w ago