Deep Agents v0.6 makes harness profiles a first-class abstraction. Now, you can get production-grade performance from models like @Kimi_Moonshot
, @Alibaba_Qwen
, and @DeepSeek_ai at 20x+ lower cost than closed frontier APIs. More on tuning:
AI
-
Deep Agents v0.6 Enhances Harness Profiles for Cost-Effective AI Model Performance
By
–
-

AI Applications for Regulated Enterprises with Governance
By
–
.
@Dominodatalab
’s Matt Bonyak and Danny Stout at #Rev26: regulated enterprises don't have a model problem. They have an application problem. AI apps built and deployed in hours, governance included. #Rev26 -
Five Million AI Agents Tracking Public Data on Billions
By
–
This guy has five million AI agents tracking everything publicly available about three billion people!
— Robert Scoble (@Scobleizer) 29 mai 2026
He spent half a million bucks doing that.
Be scared? Or be educated? @michaelfanous1 runs https://t.co/cPDcSWapT6 and I have a lengthy conversation about what he's doing and… pic.twitter.com/Q418BEQQDRThis guy has five million AI agents tracking everything publicly available about three billion people! He spent half a million bucks doing that. Be scared? Or be educated? @michaelfanous1 runs https://
nyne.ai and I have a lengthy conversation about what he's doing and -
Rapid Monthly AI Model Releases from Major Labs
By
–
It still feels crazy to me that releases are now happening on a monthly basis – and, within a single month, a significant model from almost every major AI lab.
-

Researchers prove text file can hijack AI agents
By
–
Researchers just proved a text file can hijack any AI agent. AI agents now pull capabilities from online skill registries, the way apps fetch plugins. Each skill ships with a SKILL.md file that tells the agent what it does and when to use it. A new paper shows that file is
-
Use Claude to Interview Requirements for an AI Project
By
–
5. Interview For anything ambiguous, don't write the full spec yourself. Make Claude extract it: "I want to build [rough idea]. Before we start, interview me. Ask me one question at a time about requirements, constraints, edge cases, and what done looks like. Keep asking until
-
Prompt: Grill the AI to defend code changes
By
–
2. The Grill After Claude says it's done, don't trust it. Make it defend the work: "Grill me on these changes. Diff your work against main, find every assumption you made, every edge case you didn't handle, and every place this could break in production. Don't open a PR until
-
Plan-first prompt for feature development
By
–
1. Plan-First Lock Before any feature, paste this: "Before writing any code, explore the relevant files and explain your plan for [feature]. List the files you'll change, the approach for each, and any edge cases you see. Do not write a single line until I approve the plan."
-
Anthropic’s Claude Opus 4.8 and 7 Claude Code Prompts
By
–
Claude Opus 4.8 just dropped. Anthropic says it's 4x less likely to let flawed code slip through than 4.7.
— God of Prompt (@godofprompt) 29 mai 2026
But the model is only half of it. The other half is how you prompt it.
Here are 7 Claude Code prompts the best builders already run on repeat. Steal all 7: 👇 pic.twitter.com/bBX5KXnmCMClaude Opus 4.8 just dropped. Anthropic says it's 4x less likely to let flawed code slip through than 4.7. But the model is only half of it. The other half is how you prompt it. Here are 7 Claude Code prompts the best builders already run on repeat. Steal all 7:
-
LLM Differentiation: Context Over Model Selection
By
–
Every manufacturer uses the same LLMs. The differentiator is the context fed to those models, not the models themselves.