AstrolexisAI β€’ Sovereign AI: Kulvex self-hosted platform KCode local terminal coding agent. 100% GPU, no cloud. mnemo models. Privacy & control first.

Joined March 2026
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Built a code auditor that bundles tree-sitter grammars for 8 languages directly into a single static binary. ~12 MB of grammar wasm, no install dance, runs entirely offline. Open source: github.com/AstrolexisAI/KCod…
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The math on cloud LLMs flipped. 2024: cheaper to call someone's API. 2026: cheaper to run on your own hardware after 4-8 months. I wrote up cost, privacy, latency, vendor lock-in β€” the case for running LLMs on-device in 2026. astrolexis.space/blog/why-on…
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Official KCode cascade demo thread πŸ‘‡Two real runs with v2.10.406: β€’ NASA openmct β†’ 13 candidates, 0 false alerts β€’ OWASP Benchmark SQLi β†’ F1 0.829, 100% recall, cascade fully engaged Grok-4-fast Opus-4.7 ensemble beating single-model Opus by a mile. x.com/curly60e/status/204991…

Two cascade verifier runs on KCode v2.10.406. Same binary, same flags. πŸ›°οΈ NASA Mission Control: 13 candidates β†’ 0 false alerts ⚠️ OWASP Benchmark v1.2: 15 candidates β†’ 5 confirmed via ensemble The verifier knows the difference between clean code and real bugs. 🧡
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Official KCode thread on the SpaceX Cursor deal πŸ‘‡ Cursor writes code at lightning speed. KCode makes sure that code has no critical vulnerabilities. In real security analysis, KCode is already a step ahead.
SpaceX just struck a deal with Cursor β€” up to $60B option to acquire.Cursor is outstanding at writing code fast.But if you actually care about that code being secure… KCode is superior. Straight up
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After many hours of benchmarking and fighting with LLMs... KCode v2.10.406 is finally out with proper cascade ensemble. This is the one I've been waiting for. Great work team @AstrolexisAI πŸ”₯ @hackerfantastic curious what you think about the Grok Opus combo.
πŸš€ KCode v2.10.406 is now available. We just shipped and fully verified end-to-end cascade ensemble (Grok-4-fast β†’ Opus-4.7). Real results on OWASP Benchmark SQLi (1,494 findings): β†’ F1: 0.829 β†’ Precision: 69.8% β†’ Recall: 99.6% β†’ Cost: ~$17 kulvex.ai/kcode/benchmarks
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πŸš€ KCode v2.10.406 is now available. We just shipped and fully verified end-to-end cascade ensemble (Grok-4-fast β†’ Opus-4.7). Real results on OWASP Benchmark SQLi (1,494 findings): β†’ F1: 0.829 β†’ Precision: 69.8% β†’ Recall: 99.6% β†’ Cost: ~$17 kulvex.ai/kcode/benchmarks
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Download v2.10.406 (Linux, macOS, Windows): β†’ kulvex.ai/kcode Recommended command to try the ensemble: kcode audit . -m grok-4-fast-non-reasoning --fallback-model claude-opus-4-7
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This release is another step toward our goal: Best recall in the industry, full control over noise, and reasonable costs. Huge thanks to everyone testing and giving feedback. What do you think of the new cascade? Would you use it in CI? kulvex.ai/kcode/benchmarks
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You can try this. Totally auditable code. x.com/astrolexisai/status/20…

We ship KCode, a security audit tool. Today we audited it against itself and found a bug we'd flag in someone else's code: shell injection in our own PR generator. Fix shipped in v2.10.380. ↓
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We ship KCode, a security audit tool. Today we audited it against itself and found a bug we'd flag in someone else's code: shell injection in our own PR generator. Fix shipped in v2.10.380. ↓
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Update size from v2.10.379: 141 KB downloaded 0.8s end-to-end exact SHA match Full binary: 117 MB. Delta = 0.1% of size. Verified E2E against the live manifest at kulvex.ai. No npm, no GitHub Releases β€” self-hosted auto-updater.
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Update: kcode update Install: curl -fsSL kulvex.ai/install.sh | sh For tiny deltas: apt/brew/dnf install bsdiff Repo: github.com/AstrolexisAI/KCod… Release: github.com/AstrolexisAI/KCod…

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The most useful part of the internal audit rounds: found 4 real bugs in my own patterns before they shipped. `new Function(p)` was silently missed (the query only matched the bare-call form). `\eval($p)` PHP namespace-prefixed too. Tree-sitter gives you the AST. You still own the iteration.
Built a code auditor that bundles tree-sitter grammars for 8 languages directly into a single static binary. ~12 MB of grammar wasm, no install dance, runs entirely offline. Open source: github.com/AstrolexisAI/KCod…
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Built a code auditor that bundles tree-sitter grammars for 8 languages directly into a single static binary. ~12 MB of grammar wasm, no install dance, runs entirely offline. Open source: github.com/AstrolexisAI/KCod…
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Single static binary. No backend. No telemetry. Source code never leaves your machine. The LLM call (when used) only sees the snippet being verified β€” not the surrounding repo. Apache 2.0.
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Looking for feedback on patterns I'm missing β€” especially from people who've done audit work professionally. Pattern library lives at src/core/audit-engine/ast/ if you want to PR a new sink for your favorite language. github.com/AstrolexisAI/KCod…
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