How self-improving harnesses are rewriting the agent engineering playbook
With harness engineering becoming a main focus of AI engineering, new frameworks allow AI agents to write their own execution logic and optimize their performance.
AI is writing your code, but who’s reviewing it?
As AI coding assistants go mainstream, a silent wave of technical debt is building. Here’s how the industry is fighting back.
Machine learning in space: Building intelligent systems for the harshest environments
A new breed of tiny, hyper-efficient AI is revolutionizing space, extending satellite life and unlocking the next great era of autonomous exploration.
Decoding the brain, inspiring AI: How Rahul Biswas is bridging neuroscience...
The convergence of AI and neuroscience opens exciting possibilities for understanding human cognition and driving innovation in deep learning.
Why LLMs should stop thinking out loud (and what comes after...
Chain-of-Thought prompting is slow, expensive, and largely an illusion. The future of machine reasoning happens in latent space.
Beyond vibe coding: How Codev 3.0 engineers the AI-powered dev team
Casual AI prompting breaks down as codebases grow. Codev introduces strict protocols and multi-model reviews to help teams ship maintainable software.
Why the future of agentic AI is all about the harness
Scaling LLMs hits limits when dealing with agentic AI tasks. For that, we need to look at the harness and the system built around the model(s).
How Cursor’s Composer 2.5 uses self-distillation to beat the frontier LLMs...
A deep look at the self-distillation techniques that make Composer 2.5 such a great coding model (and the hidden tradeoffs they introduce to AI reasoning).
Vertical integration as AI infrastructure: What 21D’s full arch implant system...
A technical breakdown of how 21D built an end-to-end autonomous AI pipeline for one of medicine's most complex procedures — and the architectural decisions that made it work
Why sandboxing OpenClaw doesn’t stop data exfiltration
Research into Nvidia’s NemoClaw reveals that sandboxes don't stop AI agents like OpenClaw from leaking data. We need to rethink security from first principles.
Applied ML: When ‘perfect’ becomes the enemy of ‘good’
Waiting for perfect data can stall your machine learning project and result in losing opportunities of creating good-enough models.
AI can’t replace software engineers yet, but here is how to...
AI is not a replacement for engineers, but it can be very useful to product managers testing hypotheses and product ideas.
How to turbocharge your product and market research with DeepSearch
If you think in terms of the JBTD framework, Deep Search products can save you a ton of time and effort in finding new product and market opportunities.
