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Home›Technology

Technology

The latest breakthroughs in software, hardware, and emerging tech shaping how the world builds and connects.

1557 articles found

Enable on-demand expertise with Agent Skills in Genkit Go

Enable on-demand expertise with Agent Skills in Genkit Go

To prevent context window bloat and reduce token consumption, Genkit Go introduces Agent Skills based on a progressive disclosure architecture. Developers can package specialized instructions, scripts, and references into modular SKILL.md bundles where only the frontmatter metadata is initially exposed to the agent's system prompt. When a task matches the skill's description, Genkit's middleware dynamically loads the full instruction body and associated assets, ensuring the model accesses precise workflows exactly when needed.

Google Developers•August 20, 2026
Agent and Model Evaluations in Gemini Enterprise Agent Platform are now GA

Agent and Model Evaluations in Gemini Enterprise Agent Platform are now GA

Agent Platform's evaluation service is now generally available, providing developers with a unified engine to measure agent quality consistently across local development experiments and live production traffic. You can evaluate agents using over 20 pre-built metrics, DeepMind-backed adaptive rubrics, or custom code-based and LLM-as-a-judge metrics stored in a centralized, versioned registry. The service integrates directly into existing workflows via the Agent Platform SDK, agents-cli, and ADK, offering built-in user and environment simulators to automate complex multi-turn testing and streamline CI pipelines.

Google Developers•
How to use Google microbenchmarks for evaluating TPU performance

How to use Google microbenchmarks for evaluating TPU performance

Google's open-source TPU microbenchmark suite provides developers with granular performance metrics across Network, Compute, HBM, Host Transfer, and Attention components to validate real-world hardware capabilities. By leveraging these benchmarks to establish a Roofline model, engineers can accurately diagnose whether their machine learning workloads are compute-, memory-, or network-bound. This empirical baseline directly guides targeted software optimizations—such as kernel tuning, mesh sharding, and rematerialization—to maximize hardware utilization for large-scale model deployments.

Google Developers•August 20, 2026
Emoji Based Janet Packages and Codebases

Emoji Based Janet Packages and Codebases

1 point 0 comments on Hacker News · hachyderm.io

Hacker News•August 20, 2026
When Building Gets Cheap, Knowing What to Build Gets Expensive

When Building Gets Cheap, Knowing What to Build Gets Expensive

1 point 0 comments on Hacker News · twitter.com

Hacker News•August 20, 2026
Poisoned Postgres Connection Pools

Poisoned Postgres Connection Pools

1 point 0 comments on Hacker News · planetscale.com

Hacker News•August 20, 2026
Excluded from everywhere: incompatible with every system I entered

Excluded from everywhere: incompatible with every system I entered

1 point 0 comments on Hacker News · msakkal.me

Hacker News•August 20, 2026
TrueForge – The open-source agent harness

TrueForge – The open-source agent harness

1 point 0 comments on Hacker News · github.com

Hacker News•August 20, 2026
August 20, 2026
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