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*** Top Articles and Research
Why AI Agents Need Million-Token Context — Thomas Wolf & Olive Song, MiniMax
September 7, 2026
What Makes an Agent Swarm Actually Work
September 7, 2026
GPT-6 Astra: Reading Past the Benchmark Saturation
September 7, 2026
Code Mode: Why AI Agents Are Moving from Tool Calls to Code
September 7, 2026
The Work Behind the Work: How Agent Capability Expands Real Choice
September 7, 2026
Astra Arrives: A First Look at GPT-6 Across Benchmarks, Alignment, and Early Demos
September 6, 2026
When the Agent Runs as You: Identity Design in Enterprise AI
September 6, 2026
Start Cheap, Spend Precisely: A Two-Step Pattern for AI-Assisted Knowledge Work
September 5, 2026
The Work Came Back Finished: How to Check Autonomous AI Output
September 5, 2026
From coding to Knowledge work agents — Karan Vaidya, Composio
September 4, 2026
When Agents Write the Code: A Framework for Engineers Who Own It
September 4, 2026
Five Prompts to Audit Your AI Provider Dependency Before the Deal Changes
September 3, 2026
AI Software Factories Are the Next Big Thing (And I’m Building You One)
September 3, 2026
Agentic Engineering Operating Level: WHERE to FOCUS your AGENTS?
September 2, 2026
Eleven Small Fixes That Make Coding Agents Actually Reliable
September 1, 2026
The Four-Layer Stack Behind a Working AI Coding Factory
August 31, 2026
The Tribal Dungeons Problem: What Building AI Agents at Scale Actually Requires
August 31, 2026
Token ROI, Not Token Austerity: Measuring What AI Engineering Actually Produces
August 31, 2026
When Optimization Becomes a Security Problem
August 31, 2026
The Signal Layer: What to Build When Anything Can Be Built
August 31, 2026
Posted inBlog

From RL to IRL: What Breaks When AI Agents Leave the Sandbox

For a while, the benchmark results told a reassuring story. Reinforcement learning — RL, the technique where a model learns by trying things and getting scored on the outcomes —…
Posted by Giuseppe Basile August 19, 2026
Posted inBlog

When AI Stops Advising and Starts Delivering

The shift in how knowledge workers relate to AI assistants has been gradual but unmistakable. For years, the dominant pattern was retrieval and advice: ask a question, get a summary,…
Posted by Giuseppe Basile August 18, 2026
Posted inBlog

Improving Agents Is a Data Mining Problem

Early agent development looked a lot like prompt alchemy: tweak the instructions, rerun the task, repeat. That worked at small scale, but as agents handle real production workloads and accumulate…
Posted by Giuseppe Basile August 13, 2026
Posted inBlog

The Floor Is the Frontier: Why Agent Reliability Beats Benchmark Chasing

For the first couple of years of serious agent development, most of the energy went into the ceiling: what's the most impressive thing this agent can do? Can it beat…
Posted by Giuseppe Basile August 13, 2026
Posted inBlog

The Harness Is the Bottleneck: How Agentic Infrastructure Is Finally Growing Up

For the first couple of years of the agentic era, building a capable AI agent meant building almost everything yourself. The model gave you tokens in and tokens out; the…
Posted by Giuseppe Basile August 12, 2026
Posted inBlog

Beyond Context Engineering: The Scaffolding AI Agents Actually Need

The scaffolding matters as much as the model. That has become clear as teams move from simple prompt chains to multi-step autonomous agents. Around 2023, the conversation focused on prompt…
Posted by Giuseppe Basile August 12, 2026
Posted inBlog

Why Your Software Factory Needs Agent Sandboxes to Scale

For most of the past two years, running AI agents on a laptop or inside a container felt like enough. Isolation checked the safety box; the engineer watched the terminal…
Posted by Giuseppe Basile August 12, 2026
Posted inBlog

Agent Context That Doesn’t Rot: The Case for Four Files Instead of One

The early pattern for managing AI agents was simple: write one document, put everything in it, hand it to the agent. For a task completed in an afternoon, that works…
Posted by Giuseppe Basile August 12, 2026
Posted inBlog

The Build Is No Longer the Bottleneck: Lessons From a Solo AI SaaS Sprint

The Stack Has Changed. The Discipline Hasn't. For most of software's history, the build was the bottleneck. An idea could sit in a notebook for months, waiting for enough engineering…
Posted by Giuseppe Basile August 12, 2026
Posted inBlog

Can AI Coding Agents Actually Build Maintainable Software?

The question used to be simpler: can an AI model write code that passes a test? That bar has long been cleared. The harder question — the one practitioners are…
Posted by Giuseppe Basile August 12, 2026

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