SShortSingh.
Back to feed

Rootflo's Wavefront Seeks Developer Feedback on Missing Features for Enterprise AI Harness

0
·6 views

A developer working on Wavefront, an enterprise AI harness that connects data to AI, has asked the community what features are missing from the platform. The project is hosted on GitHub under the rootflo organization and has accompanying documentation on its project website. The post invites users to suggest capabilities they would find useful. The request was shared on DEV Community as a way to gather input from potential users.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingHacker News ·

Google DeepMind researchers push for right to publicly discuss AI findings

Staff at Google DeepMind are protesting a policy that can impose lifetime bans on employees who publicly criticize the company. The researchers argue they should be free to share what they know about artificial intelligence with the public. The dispute was reported by The Washington Post and discussed on Hacker News, where the story drew 37 points and 22 comments. The article linked from the discussion focuses on the employees' demands and the company's restrictions on speech. Details beyond the article's headline and the reported protest are limited in the available source material.

0
ProgrammingDEV Community ·

MIT Researchers Use an LLM to Read and Edit Neural Network Weights Directly

MIT CSAIL researchers Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab published a November 2026 study called "Sparks of Weight-Space Programming" on having a general-purpose language model work directly with neural network parameters. In one case, the model repaired a repetition-loop problem in the small open model Qwen3.5-0.8B by modifying only about 0.016% of its weights, with no gradient descent or training data. The edit lifted scores on MATH-500, GSM8K, and IFEval substantially. The authors also tested whether the model could identify what games four small policies were trained to play by reading their raw weights, and it correctly named all four. The work challenges the assumption that weights can only be written by optimizers, though the authors report failure cases alongside their successes.

0
ProgrammingDEV Community ·

Tracking company hiring trends with Greenhouse and Lever public job APIs

Many companies host their careers pages on Greenhouse or Lever, which both offer documented, read-only APIs for job boards. Analysts can use this data to see which companies are hiring, for which teams, and how quickly openings are changing, with applications for sales prospecting, investor research, and job alerts. The article demonstrates pulling this information with a short Python script, avoiding HTML scraping and personal data collection. It also explains how to track only newly posted roles between runs and schedule recurring checks. The author discloses that their company built the Actor used in the examples, and that the sample figures come from a real run.

0
ProgrammingDEV Community ·

Author builds five Valheim mods using AI models without prior coding experience

A creator produced five modifications for the game Valheim using advanced AI tools such as Claude and ChatGPT, despite having no earlier programming background. The mods were designed to make merchants easier to locate, rebalance certain game mechanics, and give players more control over tamed animals' behavior. The approach relies on guiding the AI through structured steps, such as producing a detailed plan that the model reviews itself before any implementation. The creator advises setting clear rules, like avoiding unnecessary calculations and reading files before modifying them, and keeping changes small and targeted. The creator also cautions against using AI to generate new artwork, citing ethical concerns and frequent stylistic inconsistency.