ToolsThe story, in brief

Enhancing repository-level code completion with selective retrieval

70% faster. Amazon just showed how selective retrieval cuts code completion times while boosting accuracy.

Paper-cut illustration of a coral software window opening into a three-dimensional drafting space.
New tools for building and creating with AI.AI illustration by KeyNews
The KeyNews take

Why it matters

Amazon Science's self-supervised method for repository-level code completion demonstrates a meaningful efficiency gain in AI-assisted development tools—a critical competitive advantage as enterprises scale AI coding assistants across engineering teams.

The key facts

5 to know
  1. 70% speed improvement in code completion times

  2. Increased accuracy alongside performance gains

  3. Self-supervised learning approach for selective retrieval

  4. Repository-level context utilization

  5. Published by Amazon Science on October 17, 2024

Go to the source

Amazon Scienceamazon.science

Publisher excerpt: Self-supervised method for learning when to retrieve contextual information from a code repository speeds up code completion times by 70% while increasing accuracy.
Read original report
Back to today's editionMore tools news

The wider picture

View all
Illustration of a transparent lens revealing connected networks across layers of paper.
AI illustration by KeyNews
Tools01

Dynamic model routing will follow the path blazed by software-defined wide-area networks

Dynamic model routing — intelligently directing requests across multiple AI models based on cost, latency, and capability — is moving from niche optimization to mainstream infrastructure. Stripe's acquisition validates the category and signals that enterprises will soon expect this routing logic as table stakes, much like SD-WAN did for networking.

SiliconAngle
Illustration of a transparent lens revealing connected networks across layers of paper.
AI illustration by KeyNews
Tools02

llm-keys-ui 0.1

A lightweight, open utility that simplifies credential and API key management for developers running LLMs locally or against multiple providers — practical infrastructure for the growing DIY AI stack.

Simon Willison
Paper-cut illustration of a coral software window opening into a three-dimensional drafting space.
AI illustration by KeyNews
Tools03

Vocci’s ring adds a new form factor to meeting note-taking

A new form factor for AI-powered meeting capture that practitioners evaluating note-taking workflows need to consider — hardware, pricing, and the data-collection footprint all factor into adoption decisions.

TechCrunch AI