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Since 2021, our team at Autor has shipped over 50 AI products across healthcare, fintech, logistics, and SaaS. Some of them are running in production right now, handling thousands of automated calls per month. Others failed spectacularly — and those are the ones that taught us the most. Where This Comes From I started Autor in Toronto as a one-person AI development shop. The original thesis was simple: companies needed custom AI but couldn't hire fast enough to build it themselve...

Most email APIs are send-only. But if you're building an agent that needs to have a conversation over email — support, scheduling, invoicing — it needs to receive replies too, with thread context. In this post we'll set up an agent with its own mailbox using the Model Context Protocol. This is an official EngageLab Email tutorial, so feedback from developers is welcome. What you'll end up with An agent that sends email from its own address (not your personal inbox) R...

Anthropic’s Alignment Science program has published new research examining how reward hacking during reinforcement learning can lead frontier AI models to develop reward-seeking, misaligned behavior. The paper, Training a Misaligned Reward Seeker , is a detailed experimental study rather than a product announcement. Its central finding is nonetheless highly relevant to organizations considering increasingly autonomous AI systems: an agent optimized around a poorly designed reward can pursue...

Every agent framework README says "multi-agent". AutoGen, CrewAI, LangGraph, MetaGPT each have 20k+ GitHub stars, and the term "multi-agent" appears in thousands of repo descriptions. But what do projects that call themselves multi-agent actually implement? Until now, nobody measured the population — only how to build frameworks, or theory about whether multi-agent is "just prompting". A new census (86 strictly-filtered, self-described "multi-agent" repos with 1k+ stars, plus 18 seed framew...

To add the AWS AppConfig Agent Lambda extension to an AWS Lambda function, you can open the documentation, scroll through a table of ARNs, find the one that matches your AWS Region and architecture, copy it, and paste it into your template. However, a few months later, AWS publishes a new version and now your deployment is silently using an older one. There’s a better approach that uses public parameters in AWS Systems Manager Parameter Store (Parameter Store). What are public parame...

AI agents do not need to hallucinate to make the wrong decision. They can read accurate information, reason correctly, and still take the wrong action because the information changed before execution. That is the problem FreshCtx is built to address. The same failure keeps appearing in different systems Developer feedback around FreshCtx surfaced several versions of the same underlying problem: A subscription status changed in Stripe, but an application acted on its ol...

AgentSelfEdit is an open-source sidecar that rewrites its own system prompt from execution feedback. It A/B tests edits and promotes only statistically-proven winners. Code: github.com/deghosal-2026/agent-self-edit I built an AI that rewrites its own prompts. It looked like it worked. It didn't. Over a single session, I found and fixed 31 issues. Nine of them were fundamental — each one made the system look like it was working when it wasn't. The most dangerous was this: the promotio...

Agent Plugins 1.0.0 ships a JSON Schema for plugin.json . It sets additionalProperties: false . So the obvious loader is four lines: const manifest = JSON . parse ( await readFile ( join ( dir , ' plugin.json ' ))); if ( ! validate ( manifest )) return reject ( ' invalid manifest ' ); That loader is wrong, and the specification says so in a sentence most people never reach. §5.2: Clients MUST report and ignore each unknown fi...

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As a technical writer, building public-facing API documentation from scratch for a real product can feel like a dream come true, especially if you’ve only been documenting fictional APIs or updating e

The first thing many engineers want to do when they inherit legacy code is improve it. You find a function that's difficult to understand. Or you see duplicated logic, deeply nested conditions, databa

Perhaps you can relate to this scenario: you've explained AI models four times using the same instructions this week. You've talked repeatedly about how your team structures a deck. Which checks run b

Article URL: https://datacolada.org/138 Comments URL: https://news.ycombinator.com/item?id=49516199 Points: 99 # Comments: 76

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8/31/2026: Top 5 stories on the HackerNoon homepage!

Meet Cloudways, HackerNoon's Company of the Week. Plus, check out HackerNoon's Startups of the Week and Projects of the Week.

Compare the best AI code review tools for GitHub in 2026, including Qodo, Copilot, CodeRabbit, Greptile, and Graphite across enterprise features.

How we replaced Cal.com in two hours by reusing our own booking engine, cutting SaaS cost, vendor dependency, and an unnecessary GDPR subprocessor.

360in360 Living Memories Adds Audiobook and Voice-Preservation Capability, Debuting It on Founder's Hand-Written 2011 Book on Technology and Humanity

Why stalled clients misdiagnose their own growth problems — and how agencies can find the layer that actually broke before selling tactics.

There are no limits on the free license (such as local use), and the SCALR AI platform is available to CISO teams to deploy in their own Azure private tenant. T

Learn how iOS handles cold and warm launches, resume, scenes, deep links, and notifications - and where startup performance measurement should begin and end.

Enterprise AI budgets are skyrocketing despite falling token prices. Learn how agentic workflows drive up costs and how to measure cost per successful AI task.