Hacker Moleskine
Notes on reverse engineering, systems, and writing fast code.
Simba, Part 1: A Local-First Memory Layer for Coding Agents
How simba started: coding agents open every session blank, and the founding idea was to fire...
Newest
Simba, Part 2: The Neuro-Symbolic Bet, and What the Data Did to It
I bet that fact schemas, first-order logic, Datalog and solvers would beat plain...
Growing a unique function signature without rescanning the binary
One function took 462 seconds to fingerprint. Here is the algorithm that turned that into a...
Newest
Simba, Part 2: The Neuro-Symbolic Bet, and What the Data Did to It
I bet that fact schemas, first-order logic, Datalog and solvers would beat plain...
Growing a unique function signature without rescanning the binary
One function took 462 seconds to fingerprint. Here is the algorithm that turned that into a...
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Simba, Part 1: A Local-First Memory Layer for Coding Agents
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Simba, Part 2: The Neuro-Symbolic Bet, and What the Data Did to It
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Growing a unique function signature without rescanning the binary
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How do you know your Cython hot loop is fast enough?
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Building a compile-time x86 assembler in C++20
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IDA Pro and Cython: super-charging the work-horse of reverse engineering
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Passing the baton of leadership at VGS (f.k.a. Very Good Security)
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A New Year -- a New Beginning
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Developing a nose Test Plugin to Time Python Tests
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Arbitrary Stack Trace in Python