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Codium-ai
AlphaCodium
Python2024–2024
Codium-ai / AlphaCodium

AlphaCodium

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

7Distinct people
7Mentions
0Explicit recommenders
4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month7 dated mentions

Observed mentions: 2024-01-18 19:17:00 UTC to 2024-12-05 02:29:55 UTC.

01232024-01-01 00:00:00 UTC to 2024-02-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 commentsJan 20242024-02-01 00:00:00 UTC to 2024-03-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-03-01 00:00:00 UTC to 2024-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-01 00:00:00 UTC to 2024-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 20242024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsDec 2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jan 20242024-01-01 00:00:00 UTC2024-02-01 00:00:00 UTC312
Feb 20242024-02-01 00:00:00 UTC2024-03-01 00:00:00 UTC110
Mar 20242024-03-01 00:00:00 UTC2024-04-01 00:00:00 UTC000
Apr 20242024-04-01 00:00:00 UTC2024-05-01 00:00:00 UTC000
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC211
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC000
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC000
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC000
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC000
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC000
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

7 sources
My $0.02: it's too hard to build and iterate on complex workflows. Every agent uses a meta-workflow (eg. ReAct is plan->act->observe, with some added steps to check for completion etc.). The teams that have been successful with agents do so by building better but more complex workflows. Most notably, AlphaCodium's "From Prompt Engineering to Flow Engineering" https://github.com/Codium-ai/AlphaCodium Our current tools don't do a great job of making it simple to build and iterate on these workflows. For example, here's a HN post from yesterday where a user created their own workflow management platform because of their frustration with the leading tooling providers: https://news.ycombinator.com/item?id=42299098 I think once we get this tooling right and start to build more expertise in the process of flow engineering, we'll start to faster
Read the rest
improvement in agent quality.
In Ask HN: What's the hardest part of building AI Agents?
Hey, co-creator here, I agree with the sentiment that code coverage may be a proxy and even sometimes a vanity metric but at the same time, IMO unit regression tests are necessary for a maintainable production codebase. I personally don’t feel confident making changes to production code that isn’t tested. Specifically for generating unit regression tests the Cover-Agent tool already works quite well in the wild for some projects, especially isolated projects (as opposed to complex enterprise-level code). You can see in the few (somewhat cherry-picked) examples we posted [0] that it generates working tests that increase coverage (they were cherry-picked in the sense that these are examples we like to work with often internally at CodiumAI). I believe that it’s possible to generate additional meaningful tests including end-to-end tests by c
Read the rest
reating a more sophisticated flow that uses prompting techniques like reflection on the code and existing tests, and generates the tests iteratively, feeding errors and failures back to the LLM to let it fix them. Just as an example. This is somewhat similar to the approach we used with AlphaCodium [1] which hit 54% on the CodeContests benchmark (DeepMind’s AlphaCode 2 hit 43% [2] with the equivalent amount of LLM calls). If like me you think tests are important but hate writing them, please consider contributing to the open source to help make it work better for more use cases. https://github.com/Codium-ai/cover-agent [0] https://www.youtube.com/@Codium-AI/videos [1] https://github.com/Codium-ai/AlphaCodium [2] https://storage.googleapis.com/deepmind-media/AlphaCode2/Alp...
In We created the first open source implementation of Meta's TestGen–LLM

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