Internal Agents: When Your AI Makes a Mistake Inside the Business, You Still Own the Failure
The agentic AI conversation is too obsessed with the front door. Customer-facing agents get most of the attention because they are visible.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Beyond REST: AI Agent Integration through Model Context Protocol
Your users increasingly work through AI assistants. When they ask an agent to check a case status, analyze last quarter's metrics, or kick off an approval workflow, that agent needs to access your enterprise systems. Enabling that connection is the core challenge of AI agent integration: giving AI assistants the ability to discover, understand, and safely interact with business applications and data on behalf of users.
The 7 Best Multi-Agent Software Development Tools in 2026
Artificial intelligence has become a standard part of software development. Most engineering teams now use AI to generate code, explain unfamiliar functions, write tests, or accelerate documentation. These capabilities have become widely available, and the underlying language models continue to improve at an impressive pace. But as organizations move beyond experimentation, many are discovering that code generation alone does not solve their biggest engineering bottlenecks.
AI Agents Write Broken Code 49% of the Time #speedscale #AI #Coding #Tech #DevOps
AI agents write broken code nearly 50% of the time. By adding a traffic-based deterministic evaluation, Speedscale boosted unsupervised bug-fixing quality from 51% to 77% in just 5 minutes. This helped slash token costs and eliminate rework without human intervention. Learn more: speedscale.com.
Appian Q2 Product Highlights: Helping You Move from Standalone AI Tools to Orchestrated AI Workflows
Organizations have rapidly adopted artificial intelligence, but a stark divide is emerging: those who are embedding AI into the core of their operations, and those who are treating it as a standalone tool. According to a recent Harvard Business Review Analytic Services survey, only a small share of resondents say their organization has largely integrated AI into workflows.
Who's Governing Your AI? Inside Sauce Labs' Industry-First ISO 42001 Certification
As AI takes on more software quality decisions, Sauce Labs becomes the first — and only — dedicated testing platform to earn independent certification for responsible AI governance.
How to Become an AI-Native Team
A year ago we announced that Databox is becoming an AI-first company. At the time, that mostly meant what it meant for many companies in 2025: AI becoming a strategic priority. Teams were encouraged to experiment and adopt new tools, as it was clear that AI wasn’t a trend we could ignore. That was the easy part. What’s become clear over the last year is that there’s a significant difference between being AI-first and being AI-native.
Conversational analytics in BigQuery brings trusted agentic reasoning to everyone
Use Conversational Analytics in BigQuery to query data, run analyses, and generate reports using natural language on data in BigQuery and Lakehouse.
AI writes code faster than you can review it
The real bottleneck is knowing what to build before you start. Pro tip from Senior Software Engineer Josh Ellis: treat every AI agent every AI agent like a junior dev he's onboarding: define the what, the how, and the hard limits upfront. The plan drives the output, not the other way around.
You can't build AI in a walled garden
As software vendors place more controls around data access, enterprises must decide whether their future AI capabilities will be defined by their strategy or their vendors' policies.