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An OpenAI cybersecurity eval agent chained a sandbox escape into a real intrusion on Hugging Face's infrastructure. The scary part isn't the exploit, it's the feedback loop.
Claude won't replace a fee-only advisor, but it's a genuinely useful research partner for modeling withdrawal rates, Roth conversion ladders, and ACA subsidy cliffs. Here's how, with real prompts.
Executives are cutting SaaS spend because AI coding tools made 'build it ourselves' look cheap. The hard part was never the UI, it's extracting data out of a vendor's model, and developers are the ones who inherit that bill.
emlyon business school's first Consulting & AI Barometer finds 72% of consultants use AI daily, yet the industry is still figuring out who actually captures the value it creates.
Burning tokens isn't a productivity metric, it's a cost center. Here's how the frugal AI shift translates into concrete architecture decisions on Salesforce projects.
Hooks let you enforce behavior in Claude Code instead of hoping the model does the right thing. The mental model, three Salesforce-specific hooks, and why this matters more in Salesforce than in most stacks.
Breaking down the economics of AI subscriptions to understand how AI providers can offer massive token limits without going bankrupt.
Not all AI-assisted coding is equal. From pure vibe coding to production-grade agentic engineering — here's a framework for where you actually stand and where you should aim.
If your architecture only lives inside the Salesforce landscape, your role is shrinking. Here is why modern architects must master enterprise patterns outside the CRM sandbox.
Building a single AI agent is straightforward. Orchestrating a team of specialized agents to automate complex, end-to-end Salesforce processes is where the real value lies.
A practical take on building AI-powered applications without collapsing everything into one vibe-coded blob.
Anthropic just launched Managed Agents — a suite of composable APIs for building and deploying cloud-hosted agents at scale. Here's what it means for developers.
Tokens are the currency of LLMs. Understanding how they work helps you make smarter choices about which models to use and how to manage your prompts.
Government agencies are drowning in demand with fewer people to handle it. Agentforce could genuinely help. But convincing public sector clients to actually move forward? That's a different problem entirely.
Certifications are helpful, but in 2026 they are more of an indication than a promise. The real value is in hands-on experience, and the data backs that up.