Look
We track 15 posts about Look from 11 engineering blogs. Most active: Gunnar Morling, Stack Overflow, Marc Plano-Lesay. Latest post: Oct 9, 2026.
Companies writing about Look
Recent posts
Taking a look under your agent’s hood (opens on the source site)
Ryan is joined by Yanbing Li, Chief Product Officer at Datadog, to talk about applying observability to non-deterministic AI agents, blurring the boundaries between software development and production workflows, and navigating emerging challenges in AI security and tokenomics.
A look back before we look forward: A Developer Survey retrospective (opens on the source site)
This analysis compares the 2024 and 2025 Developer Survey data across three connected stories: the evolution of AI, humans at work, and demographics and community.
Getting ready for 2026 results: A look back on Developer Survey findings (opens on the source site)
We are on the precipice of brand new results from the 2026 Developer Survey. We have 15 years of data and insights from this survey at our fingertips that shows more than just what one year’s collection of insights will explore. A year-over-year look at the Developer Survey offers the long view of what is changing in the broader technology ecosystem. This analysis compares the 2024 and 2025 Developer Survey data across three connected stories: the evolution of AI, humans at work, and demographics and community. The survey results reveal what the headline news cannot: how people actually fold…
Building With Voice: A Developer's Look at Integrating AI Speech Into Applications (opens on the source site)
How developers can integrate AI voice technology into applications - API basics, choosing the right approach for your use case, and the ethical considerations of voice cloning. Continue reading Building With Voice: A Developer's Look at Integrating AI Speech Into Applications on SitePoint.
When Did Someone Last Look at the Systems Your Business Depends On? (opens on the source site)
I recently reviewed the codebase behind a small professional services company’s custom platform. Buried in the source was this: if you send the production system a request with a header named “bypass” and a hard-coded password, you skip login entirely and get administrative access to their production system. On the call where I explained this […] The post When Did Someone Last Look at the Systems Your Business Depends On? appeared first on Atomic Spin.
Muse Code: Meta's Terminal Coding Agent — Setup, Pricing Tiers, and First Look (opens on the source site)
Meta launched Muse Code on August 5, 2026 — terminal-native coding agent powered by Muse Spark 1.2 with 1M-token context, subagent orchestration, worktrees, and event-logged crash recovery. Developers debating Standard vs Contributor pricing tiers. Most coverage missing a clear setup walkthrough explaining .museignore and MUSE_CODE.md workflows. Continue reading Muse Code: Meta's Terminal Coding Agent — Setup, Pricing Tiers, and First Look on SitePoint.
The web is synthetic. Now look at the human trail (opens on the source site)
Domagoj Marić explores how AI, web scraping, and OSINT turn scattered personal data into profiles, scams, and security risks at Extract Summit.
A First Look at Evo Agentic AppSec: Agentic Remediation and Malicious Code Defense (opens on the source site)
Snyk ·
Explore Snyk’s first Agentic AppSec capabilities: an autonomous Remediation Agent that fixes vulnerabilities and Malicious Code Defense that blocks risky packages before they ship.
One CSS Property That Makes Numbers Look Instantly Better (opens on the source site)
When you’re working with fonts, especially for displaying numbers, there’s something called proportional spacing that can make a huge difference in how your numbers look when they’re animated.
Let's Take a Look at... Lower Java Tail Latencies With ZGC (opens on the source site)
Table of Contents ZGC Allocation Stalls Summary In the "Let’s Take a Look at…!" blog series I am exploring interesting projects, developments and technologies in the data and streaming space. This can be KIPs and FLIPs, open-source projects, services, relevant improvements to Java and the JVM, and more. The idea is to get some hands-on experience, learn about potential use cases and applications, and understand the trade-offs involved. If you think there’s a specific subject I should take a look at, let me know in the comments below. Java 25 was released earlier this week, and it is the…
Let's Take a Look at... JEP 483: Ahead-of-Time Class Loading & Linking! (opens on the source site)
Table of Contents Building an AOT Cache for Apache Kafka AOT Caching With Apache Flink Summary In the "Let’s Take a Look at…!" blog series I am exploring interesting projects, developments and technologies in the data and streaming space. This can be KIPs and FLIPs, open-source projects, services, relevant improvements to Java and the JVM, and more. The idea is to get some hands-on experience, learn about potential use cases and applications, and understand the trade-offs involved. If you think there’s a specific subject I should take a look at, let me know in the comments below. Java 24 got…
Let's Take a Look at... KIP-932: Queues for Kafka! (opens on the source site)
Table of Contents Towards Queue Support in Kafka—Introducing Share Groups Share Groups in Action Retry Behavior and State Management Share Group State Persistence Summary and Outlook In the "Let’s Take a Look at…!" blog series I am going to explore interesting projects, developments and technologies in the data and streaming space. This can be KIPs and FLIPs, open-source projects, services, and more. The idea is to get some hands-on experience, learn about potential use cases and applications, and understand the trade-offs involved. If you think there’s a specific subject I should take a…
What might an AI System Prompt look like? (opens on the source site)
Not surprisingly, the system prompts for “o1” are restricted, but it can provide a hypothetical answer. Understanding the Role of System Prompts System prompts serve as the invisible backbone of an AI’s reasoning process. They define core objectives, ethical boundaries, and operational tactics well before the user asks a question. In older models, these prompts were often implicit or underspecified, leaving the AI uncertain about handling ambiguous instructions or potentially unsafe requests. Hypothetical System Prompts for o2 The system prompts for a hypothetical next-generation O2…
What might an AI System Prompt look like? (opens on the source site)
Not surprisingly, the system prompts for “o1” are restricted, but it can provide a hypothetical answer. Understanding the Role of System Prompts System prompts serve as the invisible backbone of an AI’s reasoning process. They define core objectives, ethical boundaries, and operational tactics well before the user asks a question. In older models, these prompts were often implicit or underspecified, leaving the AI uncertain about handling ambiguous instructions or potentially unsafe requests. Hypothetical System Prompts for o2 The system prompts for a hypothetical next-generation O2…
Android Things: first look (opens on the source site)
What is Android Things? Android Things is an alternative Android version, announced at Google I/O 2015, and released as a first developer preview in December 2016. Its purpose is to develop embedded IoT devices, with a known and widely documented Android ecosystem basis. It's currently running on three different boards: the Intel Edison, the NXP Pico i.MX6UL, and the Raspberry Pi 3. Some higher-end boards are coming soon. On the SDK side, Android Things comes with a specific support library to ease low-level hardware usage. It consists in two parts: the Peripheral I/O API, which supports…
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This page is generated automatically from the engineering blogs we follow. Every post links to its source, where it was published. See all sources.