Results for “agents”

Lovable CTO: The Future of SaaS Is Apps That Agents Can Use Lovable is branching out from AI-powered web app creation and into MCP-powered ‘capabilities’. We talk to CTO Fabian Hedin.

AI Agents, meet Test Driven Development Guest Post: 5 stages for embracing test-driven development (TDD) to build stronger, more reliable AI systems! One of our top talks from AIE Online Track

[AINews] Agents for Everything Else: Codex for Knowledge Work, Claude for Creative Work a quiet day lets us reflect on coding agents "breaking containment"

…OpenAI DevDay 2026: Dots, 6.1 Sol, Ultrafast, Decisions API, Agents API, Spaces, Marketplace, and 1.2 Billion ChatGPT WAU the most confident DevDay yet.

Giving Agents Computers — Ivan Burazin, Daytona We chat with Daytona's CEO about their insane 74% MoM Growth, 850K Daily Runs, Bare Metal Sandboxes, RL Evals, and the New Agent Cloud Latent.Space

GitHub's plan for Agents — Kyle Daigle, GitHub GitHub pioneered the modern AI coding era with Copilot, and the resulting explosion in agentic coding has led to notable strains on the most popular developer platform in the world. Here's the …

Debugging the Internet with AI agents – with Itamar Friedman of Codium AI and AutoGPT How "Extreme DRY" agents can sync spec, tests, and code, doubling every 2.5 weeks, and the tension between code and testing! Bonus: Toran speaks! Agent…

Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC We sit down with AIUC’s CEO on their Series A! We sit down with AIUC’s CEO on their Series A! Latent.Space

Agents @ Work: Lindy.ai How Lindy.ai evolved beyond the LLM-pilled era, why agents need rails, and how they rickrolled customers by accident Latent.Space

…Operator, Serverless Browsers and the Future of Computer-Using Agents Browserbase's Paul Klein on scaling browser automation for the AI era, building agent authentication infrastructure, and why solo founders are underrated Latent.Space

Llama 2, 3 & 4: Synthetic Data, RLHF, Agents on the path to Open Source AGI Llama 2 lead and Llama 3 post-training lead Thomas Scialom of Meta/FAIR, on the Chinchilla trap, why Synthetic Data and RLHF works, and how Llama4's focus on Agents…

[AINews] Agents disprove Polysemanticity; greatly improve Interpretability & Alignment Nick Cammarata out of nowhere with some major claims!