REPOGEO REPORT · LITE
ByteDance-Seed/Seed-Coder
Default branch master · commit 0a7e8026 · scanned 6/12/2026, 5:58:20 AM
GitHub: 754 stars · 59 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface ByteDance-Seed/Seed-Coder, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Add relevant topics to the repository
Why:
COPY-PASTE FIXcode-llm, large-language-models, code-generation, llm-finetuning, data-curation, bytedance, artificial-intelligence
- highhomepage#2Populate the 'Homepage' field in the repository's About section
Why:
COPY-PASTE FIXhttps://bytedance-seed-coder.github.io/
- mediumreadme#3Refine the README's opening paragraph to highlight the unique data curation approach
Why:
CURRENTWe are thrilled to introduce **Seed-Coder** (previously known as Doubao-Coder), a family of lightweight yet powerful open-source code LLMs comprising base, instruct and reasoning models of 8B size.
COPY-PASTE FIXWe are thrilled to introduce **Seed-Coder** (previously known as Doubao-Coder), a family of lightweight yet powerful open-source code LLMs that uniquely leverage LLMs to curate their own training data, comprising base, instruct and reasoning models of 8B size.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Code Llama · recommended 2×
- DeepSeek Coder · recommended 2×
- StarCoder · recommended 1×
- Phi-2 · recommended 1×
- CodeGeeX2 · recommended 1×
- CATEGORY QUERYWhat are some lightweight open-source large language models for code generation tasks?you: not recommendedAI recommended (in order):
- Code Llama
- DeepSeek Coder
- StarCoder
- Phi-2
- CodeGeeX2
AI recommended 5 alternatives but never named ByteDance-Seed/Seed-Coder. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for open-source code LLMs that can improve coding capabilities and assist with reasoning.you: not recommendedAI recommended (in order):
- Code Llama
- DeepSeek Coder
- StarCoder2
- Phind-CodeLlama
- WizardCoder
- Mistral 7B
AI recommended 6 alternatives but never named ByteDance-Seed/Seed-Coder. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of ByteDance-Seed/Seed-Coder?passAI named ByteDance-Seed/Seed-Coder explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts ByteDance-Seed/Seed-Coder in production, what risks or prerequisites should they evaluate first?passAI named ByteDance-Seed/Seed-Coder explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo ByteDance-Seed/Seed-Coder solve, and who is the primary audience?passAI named ByteDance-Seed/Seed-Coder explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of ByteDance-Seed/Seed-Coder. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
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ByteDance-Seed/Seed-Coder — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite