Human
We track 19 posts about Human from 14 engineering blogs. Most active: Twilio, Evil Martians, Facebook. Latest post: Nov 4, 2026.
Companies writing about Human
Recent posts
Contact center analytics: 6 metrics for AI and human agents (opens on the source site)
Twilio ·
Learn which metrics matter when AI and human agents share the queue, from abandonment to handle time, and how to measure each with Twilio.
What is agent assist? How real-time AI helps human agents (opens on the source site)
Twilio ·
Agent assist uses AI to suggest replies, surface answers, and automate wrap-up during live customer conversations. See how it works with Twilio Flex.
Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale (opens on the source site)
Facebook ·
Over the last year we’ve been sharing our work leveraging large language models to catch bugs on the fly — a novel approach we call Catching Just-in-Time Tests (JiTTests). Now, we’re sharing the results and positive impact we’ve seen with Catching JiTTests deployed into production. Our paper, “Just-in-Time Catching Test Generation at Meta,” fully details [...] Read More... The post Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale appeared first on Engineering at Meta.
Securely govern human and agentic identities with Vault (opens on the source site)
As organizations embrace AI agents alongside applications, services, and other machine identities, many are struggling to maintain visibility, control, and accountability across a rapidly expanding identity landscape. Unmanaged AI agents, non-human identity sprawl, and inconsistent access governance can increase security risk and make it difficult to determine who or what has access to critical systems and data. Vault 2.2 advances identity-centric security through the general availability of SCIM integration and new enhancements for non-human identities and agentic IAM. Together, these…
New website: estimating human cryptanalytic work (opens on the source site)
This is not so much a full post as it is an advertisement. I’ve been working with Claude and GPT 6 Astra to conduct a survey of historical cryptanalysis results, in an effort to determine how many human-hours have been spent attempting to cryptanalyze the problems we use in public-key encryption schemes. This is work … Continue reading New website: estimating human cryptanalytic work →
Is Your “Human-in-the-Loop” Actually Slowing You Down? Here’s What We Learned (opens on the source site)
In the rush to adopt AI and automation, many teams implement human-in-the-loop (HITL) frameworks. They believe that involving a person in the process solves the problems with reliability, quality, and trust. But as we’ve learned from real engineering workflows and integrations, the story isn’t that easy. In some contexts, humans-in-the-loop do improve outcomes, but in others, they can unintentionally become bottlenecks that limit speed, scalability, and innovation. In this post, we’ll analyze when human-in-the-loop is truly valuable, when it slows systems down, and how to strike the right…
41 Experiments in 6 Days: What the Human Was Actually For (opens on the source site)
41 experiments in 6 days took LoCoMo memory from F1 0.392 to 0.666. Claude wrote the code; the human caught the metrics that were lying.
How to design an AI-to-human handoff that preserves context (opens on the source site)
Twilio ·
76% of customers say the human agent they're transferred to has no context. Learn 5 steps to a better AI-to-human handoff that carries the conversation.
From AI Agent to Human Agent: ElevenLabs Call Handoffs with Twilio (opens on the source site)
Twilio ·
Learn how to integrate an ElevenLabs voice agent with Twilio Programmable Voice for seamless AI-to-human call handoffs, preserving context and call control.
Hostinger brings support with business growth into one AI conversation, with a human behind it (opens on the source site)
After resolving 91% of roughly 1.5 million support conversations a month on its own, Hostinger's AI assistant Kodee has been given a bigger job. Released today as Hostinger Agent,… The post Hostinger brings support with business growth into one AI conversation, with a human behind it appeared first on Hostinger Blog.
Get in, human: cut Rails boot time with require-profiler and this guide (opens on the source site)
Rails boot time is a DX metric in the AI age: meet require-profiler, learn to actually read sampling profilers, and see the pit stop that cut a 200-component monolith's boot by 40%.
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.
Calibrating LLM-Based Population Estimates with Human Validation (opens on the source site)
Indeed ·
Key Idea Human validation is not only for evaluating an LLM. It can also calibrate how the LLM is used as a scalable measurement instrument for population estimation. An LLM can classify thousands of records at low cost, but the proportion it classifies as positive is not necessarily the true proportion in the population. By […]
Twilio Flex: the technology powering human connection (opens on the source site)
Twilio ·
Twilio Flex underpins national charity Age UK’s volunteer-led initiatives, most notably their Telephone Friendship Service.
Beyond Human-in-the-Loop: Designing AI Oversight That Actually Scales (opens on the source site)
Haptik ·
As enterprises rapidly embrace AI Agents and Voice AI Agents, one question that consistently arises during customer evaluations, boardroom discussions, and compliance reviews is "Where is the human in the loop?" It’s a fair question. Human oversight has become a cornerstone of trustworthy AI, reinforced by emerging regulations, governance frameworks, and growing expectations around accountability. But there is a practical challenge that organizations rarely discuss. Imagine an enterprise AI Voice Agent handling hundreds of thousands of customer conversations every day. Each interaction…
AI vs. human illustrators? AI + human illustrators! (opens on the source site)
Evil Martians went from attempting to one-shot AI illustrations to a human-in-the-loop workflow with a dedicated illustrator. When a human owns first and last mile of this process, illustrations are crisp, high-quality and fun. Go BTS of our illustration production.
FOMO as a Developer: You’re Not Behind, You’re Just Human (opens on the source site)
There’s a special kind of anxiety that comes as a bonus when working in tech. A new framework drops. A new AI tool shows up. Someone posts a…
LLMs Are Proving That It Is Impossible to Automate Away the Human Experience (opens on the source site)
The Gap is RealIf your accessibility process ends with a passing scan, your users with disabilities are likely encountering barriers you do not know about.Automated tools are useful. LLM-assisted auditing has raised the ceiling. Neither closes the gap between what a tool can verify and what a person actually experiences when navigating with a screen reader. The gap is real, it is measurable, and it has organizational consequences.I have spent years running every category of automated accessibility tool the industry has produced: rule-based scanners like axe-core and WAVE, visual analyzers…
Human coders are still better than LLMs (opens on the source site)
Antirez ·
This is a short story of how humans are still so much more capable of LLMs. Note that I'm not anti-AI or alike, you know it if you know me / follow me somewhere. I use LLMs routinely, like I did today, when I want to test my ideas, for code reviews, to understand if there are better approaches than what I had in mind, to explore stuff at the limit of my expertise, and so forth (I wrote a blog post about coding with LLMs almost two years, when it was not exactly cool: I was already using LLMs for coding and never stopped, I'll have to write an update, but that's not the topic of this post).…
Related topics
This page is generated automatically from the engineering blogs we follow. Every post links to its source, where it was published. See all sources.