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AI agents now drive disassemblers for reverse engineering tasks

By PulseAugur Editorial · [1 sources] ·

AI agents are revolutionizing reverse engineering by directly interacting with disassemblers like Ghidra and IDA Pro through the Model Context Protocol (MCP). This allows LLMs to navigate binaries, identify code patterns, and rename variables, significantly speeding up the analysis process. While these agents excel at reading and locating information, they currently struggle with tasks requiring write access, broad contextual understanding, and precise setup, as demonstrated in a case study patching the game River Raid. AI

IMPACT AI agents are enhancing reverse engineering capabilities by automating binary analysis, though current limitations require human intervention for complex tasks.

RANK_REASON Article discusses a new application of LLMs in reverse engineering, including benchmarks and limitations, but does not announce a new model or frontier release. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI agents now drive disassemblers for reverse engineering tasks

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Article discusses a new application of LLMs in reverse engineering, including benchmarks and limitations, but does not announce a new model or frontier release. [lever_c_demoted from research: ic=1…
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  1. dev.to — MCP tag TIER_1 English(EN) · Kausar Raza ·

    AI Reverse Engineering in 2026: How LLM Agents Drive Ghidra and IDA (and Where They Fail)

    <p>A year ago, "AI reverse engineering" meant pasting a decompiled function into a chat window and asking what it did. In 2026 it means something different: an agent such as Claude, Codex or a local model <strong>drives the disassembler itself</strong> - it lists functions, follo…

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