Codium-ai/AlphaCodium
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering"" observed · 2026-08-28
Health v2 · maintenance only
26/100
- Activity 0
- Release rhythm 35
- Longevity 68
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 962
- days_rel: n/a
- days_push: 646
- n_releases_24m: 0
Adoption not part of the score
3965 stars · 299 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Official implementation of the AlphaCodium paper, a test-based, multi-stage, iterative flow for LLM code generation on competitive programming problems. It evaluates LLMs on the CodeContests dataset and significantly improves accuracy over single-prompt approaches.
Use cases
- improve llm code generation accuracy on competitive programming problems
- reproduce the alphacodium paper results on codecontests
- benchmark gpt and claude models on code generation tasks
- learn flow engineering techniques for code-oriented llm pipelines
- evaluate pass@k accuracy of llms on codeforces-style problems
When to choose
- you want state-of-the-art LLM accuracy on competitive programming or algorithmic code generation
- you are researching iterative, test-based code generation flows
- you need a reproducible benchmark harness for CodeContests
When to avoid
- you need a production code review or code quality product rather than a research codebase
- you want general-purpose code completion inside an IDE
- you cannot provide an OpenAI API key or run Python-based evaluation pipelines
Facets
library · maturity maintenance
llm-inference machine-learning testing prompt-engineering large-language-models artificial-intelligence developer-tools python cli cross-platform code-generation flow-engineering competitive-programming codecontests paper-implementation llm-evaluation algorithms
8 sources
- readme: https://github.com/Codium-ai/AlphaCodium · fetched 2026-08-28 · 4c410914ba48
- homepage: https://www.codium.ai · fetched 2026-08-29 · ae35fa69a065
- site_page: https://www.qodo.ai/features/qodo-git · fetched 2026-08-29 · d40e4a17e168
- site_page: https://www.qodo.ai/features/qodo-context-engine · fetched 2026-08-29 · 894a9c4179b7
- site_page: https://docs.qodo.ai/qodo-documentation · fetched 2026-08-29 · 694b515b0265
- site_page: https://www.qodo.ai/about · fetched 2026-08-29 · c1c9cae225e1
- site_page: https://www.qodo.ai/pricing · fetched 2026-08-29 · c0ff8e8dda09
- site_page: https://www.qodo.ai/blog/qodo-integrations-turning-your-sdlc-into-review-context · fetched 2026-08-29 · a7389aa66a62
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Codium-ai/AlphaCodium | main | 26 |
For agents
markdown · JSON · MCP: product_card(name="Codium-ai/AlphaCodium")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem