{"slug": "state-of-ai-reverse-engineering-2026-11-05", "title": "State of AI reverse engineering — 2026-11-05", "summary": "Reversed with AI's 5 November 2026 snapshot of its directory records 502 AI-assisted reverse engineering projects, of which 253 (50%) are reported as working, 168 as partial and 81 as research. Claude models appear in 418 of the 464 projects that name a model (90%), ahead of GPT / Codex at 56, and games and mods make up 60% of the directory, followed by firmware and hardware at 16%. Among 300 games, 137 use static recompilation with 46% reported as working, while 35 projects (7%) connected a model to a tool through an MCP server, 67 used Ghidra and 4 used IDA.", "body_md": "# The state of AI reverse engineering\n\nSnapshot captured 5 November 2026 · 502 projects · preserved release\n\nPeople now use AI models to decompile games, read firmware, decode protocols and port old software. This report counts what the [Reversed with AI directory](https://reversedwithai.com/) records about that work: what gets reverse engineered, with which models and tools, and how often the author reports a working result.\n\n## Download, cite and reuse\n\nThis release preserves the directory at capture time. Counts describe public documented projects and author-reported outcomes; they are not model benchmarks or independent tests.\n\nOnly these aggregate statistics and charts: [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Credit Reversed with AI and link to this release. This licence does not cover the catalogue, project-level records or other site content. Linked sources retain their own licences.\n\nReversed with AI. The state of AI reverse engineering. 2026-11-05. https://reversedwithai.com/state-of-ai-reverse-engineering/releases/2026-11-05\n\n[View current figures](https://reversedwithai.com/state-of-ai-reverse-engineering)\n\n### Charts to share\n\n## Key findings\n\n- 502 projects are recorded. 253 (50%) are reported as working, 168 as partial and 81 as research.\n- Games and mods make up 60% of the directory, followed by firmware and hardware at 16%.\n- Claude models appear in 418 of the 464 projects that name a model (90%), ahead of GPT / Codex with 56.\n- Among 300 games, 137 use static recompilation, with 46% reported as working. 35 aim for a matching decompilation, where the rebuilt code compiles to the original bytes.\n- 35 projects (7%) connected the model to a tool through an MCP server. 67 used Ghidra and 4 used IDA.\n- Only 43 authors (9%) say how long the work took. Of those, 13 finished in under a day, 14 in a few days, 9 in weeks and 7 took months or more.\n\n## What people reverse engineer with AI\n\nProjects by the kind of target. The working share is the part the author reports as doing what it set out to do.\n\n| Target | Projects | Works | Partial | Research | Working share | \n|---|---|---|---|---|---|\n| Games and mods | 300 | 128 | 137 | 35 | 43% | \n| Firmware and hardware | 81 | 57 | 15 | 9 | 70% | \n| Apps | 42 | 32 | 4 | 6 | 76% | \n| Research and benchmarks | 27 | 7 | 1 | 19 | 26% | \n| APIs and protocols | 24 | 16 | 5 | 3 | 67% | \n| File formats | 11 | 9 | 1 | 1 | 82% | \n| Malware (defensive) | 8 | 0 | 1 | 7 | 0% | \n| Legacy software | 7 | 2 | 4 | 1 | 29% | \n| Websites | 2 | 2 | 0 | 0 | 100% | \n\n## Which models people use, and how often it works\n\n464 of 502 projects name the model they used. A project that used more than one family counts once in each. Version-level figures and benchmark results are on [the model leaderboard](https://reversedwithai.com/models).\n\n| Model family | Projects | Works | Partial | Research | Working share | \n|---|---|---|---|---|---|\n| Claude | 418 | 221 | 146 | 51 | 53% | \n| GPT / Codex | 56 | 20 | 16 | 20 | 36% | \n| Open or local | 13 | 4 | 1 | 8 | 31% | \n| Gemini | 5 | 2 | 0 | 3 | 40% | \n\n## Games by method and platform\n\nMethod and original platform are read from each entry; the full list is on [AI game decompilation](https://reversedwithai.com/ai-game-decompilation).\n\n| Method | Projects | Works | Partial | Research | Working share | \n|---|---|---|---|---|---|\n| Matching decompilation | 35 | 9 | 20 | 6 | 26% | \n| Decompilation | 59 | 16 | 34 | 9 | 27% | \n| Static recompilation | 137 | 63 | 60 | 14 | 46% | \n| Port or rebuild | 36 | 18 | 14 | 4 | 50% | \n| Mod or tool | 17 | 13 | 3 | 1 | 76% | \n\n| Original platform (5 or more games) | Projects | Works | Partial | Research | Working share | \n|---|---|---|---|---|---|\n| PC | 65 | 33 | 23 | 9 | 51% | \n| PlayStation 2 | 32 | 7 | 22 | 3 | 22% | \n| Nintendo 64 | 25 | 18 | 6 | 1 | 72% | \n| PlayStation | 25 | 10 | 14 | 1 | 40% | \n| Xbox 360 | 21 | 10 | 9 | 2 | 48% | \n| GameCube | 17 | 8 | 8 | 1 | 47% | \n| Nintendo Switch | 17 | 4 | 10 | 3 | 24% | \n| DOS and home computers | 15 | 9 | 5 | 1 | 60% | \n| Xbox | 15 | 7 | 5 | 3 | 47% | \n| Nintendo DS | 11 | 1 | 8 | 2 | 9% | \n| Arcade | 9 | 7 | 2 | 0 | 78% | \n| Game Boy Advance | 8 | 1 | 6 | 1 | 13% | \n| Dreamcast | 6 | 4 | 1 | 1 | 67% | \n| PSP | 6 | 1 | 4 | 1 | 17% | \n| SNES | 6 | 3 | 2 | 1 | 50% | \n\n## The tools around the model\n\nThe reverse engineering tools and agents projects name most often. General build tools and libraries are left out. Each tool has its own page in [the tools directory](https://reversedwithai.com/tools).\n\n| Tool | Projects | Working share | \n|---|---|---|\n| Claude Code | 140 | 58% | \n| Ghidra | 65 | 38% | \n| REA | 22 | 55% | \n| Codex CLI | 15 | 53% | \n| PS2Recomp | 9 | 22% | \n| PSXRecomp | 8 | 63% | \n| xboxrecomp | 7 | 43% | \n| GhidraMCP | 5 | 60% | \n| JADX | 5 | 80% | \n\n## Time and cost\n\nMost authors don't say how long the work took or what it cost, so these figures cover only those who did. They are the authors' own numbers and are not measured by this site.\n\n- Under a day\n- 13\n- Days\n- 14\n- Weeks\n- 9\n- Months or more\n- 7\n\nTime reported by 43 projects. 5 report a dollar cost: median $21, highest $91.\n\n## How these figures are made\n\n- Every live entry in the directory is counted, 502 at the date above. Each links to its primary source.\n- Outcome, model, tools, time and cost are what the entry records from the author's repo, write-up or post. The site does not rerun the work.\n- The directory covers public, documented projects, so it leans toward work people chose to share. It is not a random sample.\n- Game platform and method are matched from each entry's target, title and write-up, and a few games are hard to classify.\n\nTo cite: Reversed with AI, “The state of AI reverse engineering”, 5 November 2026, https://reversedwithai.com/state-of-ai-reverse-engineering/releases/2026-11-05. For a single project, cite its primary source.", "url": "https://wpnews.pro/news/state-of-ai-reverse-engineering-2026-11-05", "canonical_source": "https://reversedwithai.com/state-of-ai-reverse-engineering/releases/2026-11-05", "published_at": "2026-11-05 13:04:39+00:00", "updated_at": "2026-11-09 02:02:26.181507+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-agents", "agent-protocols", "ai-tools"], "entities": ["Reversed with AI", "Claude", "GPT / Codex", "Gemini", "Ghidra", "IDA"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/state-of-ai-reverse-engineering-2026-11-05", "markdown": "https://wpnews.pro/news/state-of-ai-reverse-engineering-2026-11-05.md", "text": "https://wpnews.pro/news/state-of-ai-reverse-engineering-2026-11-05.txt", "jsonld": "https://wpnews.pro/news/state-of-ai-reverse-engineering-2026-11-05.jsonld"}}