NEW · AI SDLC / JEV
A Fast Decision Is Not a Verified Result: Jev Decision Safeguards
Published: 2026-09-20
Daniel Liezrowice, ESL: an interactive walkthrough of context filtering, missing-evidence review gates, and confidently wrong routing. Adjust the threshold to compare errors with deferred work. Synthetic illustration, not measured Jev performance.
NEW · AI AGENT MEMORY
Memory, Under Test — Interactive Agent Memory Benchmark
Published: 2026-09-18
A critical, evidence-first examination of agent memory claims. Compare stateless, full-context, and governed selective-memory strategies across six interactive scenarios, inspect decision traces, disable safeguards, and download reproducible benchmark results.
NEW · C++ DEBUGGING
Beyond Breakpoints to Evidence — ESL C++ Debugging Demo
Published: 2026-08-15
A hands-on companion to Vivek Bhadra's “Beyond Breakpoints”: one reproducible use-after-free defect investigated with AddressSanitizer and GDB, corrected through explicit ownership, and protected by automated regression tests—with a one-click WSL runner and findings dashboard.
NEW · FHE HARDWARE
MantiQ Factor — From FHE Research to Verified Accelerator Hardware
Published: 2026-08-15
A 60-slide evidence-driven journey from the public REED paper through Mathematica, Lean 4, vendor-neutral VHDL simulation, and PYNQ-Z2 implementation—positioned as a reproducible engineering path toward specialized FHE hardware, with physical validation explicitly pending.
NEW · EMBEDDED LINUX
Yocto BSP Studio — Design Partner Presentation
Created: 2026-07-29
A 15-slide product concept for turning scarce Yocto BSP expertise into a guided, auditable workflow covering component selection, BSP generation, isolated builds, simulation, testing, Parasoft C/C++test, ESL SBOMator, CVE triage, SBOMs, VEX, and release evidence.
NEW · WOLFRAM + LEAN 4
Beyond Nonzero — Certified Floating-Point Heat-Method Numerics
Created: 2026-07-29
Technical ESL presentation showing how Amp orchestrates a corrected Python solver, Wolfram Mathematica 15 cross-validation, and Lean 4 kernel-checked proofs to diagnose precision loss, finite propagation, CFL positivity, and hidden defects in a Heat Method implementation.
חדש · 25.07.2026
GitHub Trends Watch
פורסם: 2026-07-25
ניוזלטר אוטומטי לטרנדים ב-GitHub עם ניתוח AI