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Should You Use AI for Business Contracts?

Feb 20, 2026 By OpsMatters In OpsMatters

AI is creeping into almost every corner of business life. It drafts emails, builds presentations, analyses data, and even creates marketing campaigns, So, it is hardly surprising that some companies have started using it to draft business contracts too. At first glance, this might sound like an efficient and sensible use of resources. Faster turnaround. Lower cost. Instant templates. But when it comes to legal agreements, speed and convenience are not always the priority.

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How to Make AI-Generated Code Reliable with Runtime Context

Feb 19, 2026 By Lightrun Team In Lightrun

AI coding assistants like Cursor and Claude Code are driving massive productivity gains, yet they have introduced a critical validation gap in the software delivery lifecycle. While these tools excel at generating syntax, they lack visibility into live production environments. This article explains how Runtime Context, the missing nervous system of AI development, secures production by moving from probabilistic guessing to deterministic, live code validation.

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The Need for Clean in the AI Era

Feb 19, 2026 By Sean Pratt In JFrog

In the AI era, software and new models are being born at a breakneck pace—but they’re also bringing a lot of “baggage” into the world. While AI coding agents are busy accelerating innovation, they’re also excellent at generating a massive byproduct: “digital dust.” Between obsolete releases, orphaned dependencies, and massive model versions, your repository may soon start to look more like a digital junk drawer than a streamlined machine.

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Is 'Batch Good Enough'? Check Your User Experience

Feb 19, 2026 By Aiven In Aiven

Giannis Polyzos chats with Hugh Evans about whether batch data processing is truly “good enough".

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AI Engineering at incident.io

Feb 19, 2026 By incident-io In Incident.io

Working on AI in incident management means there's no playbook. No million blogs. Just building at the forefront of what's possible with AI models.In this video, Martha, Product Engineer on our AI team, talks about what it's really like working with AI that helps engineers respond to incidents faster. This covers the shift from traditional engineering, learning the personalities of different AI models, and why you need to embrace constant change when new models drop all the time.

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Who Watches the Vibe Coder?

Feb 19, 2026 By Todd H. Gardner In TrackJS

AI didn’t replace developers. It replaced the part where you were forced to understand what you just shipped. Now you can prompt your way to a feature, skim the diff, and merge something that “seems reasonable.” And then production does what production always does: finds the one weird browser + one slow network + one user flow that turns your “reasonable” code into a bonfire. So who watches the vibe coder?

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The 2025 Wake-Up Call for Engineering Teams

Feb 19, 2026 By Spencer Bos In logz.io

For years, organizations tried to solve operational pain by collecting more data, adding more dashboards, and consolidating more tools. But 2025 exposed a deeper mismatch. Systems had become more distributed, AI-assisted, and interdependent than ever before, while teams had shrunk and on-call pressure had intensified. This wasn’t a tooling failure. It was an architectural and cognitive one.

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The Current State of Content Negotiation for AI Agents (Feb 2026)

Feb 19, 2026 By Stefan Judis In Checkly

The web was built for humans, but now the agents are taking over. Humans look at a web page and see content rendered by their browser. AI agents see 180,000 tokens of nav bars, footers, and div soup — burning through their context window on junk that makes them slower and stupider. The web needs to evolve, and we as developers are driving the shift. AI agents like Claude Code, Cursor, Codex, and Gemini are how we interact with documentation, CLIs, and products today.

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Elephant in the Room, Episode 2: Working with Feature Flags, Read Replicas, and Postgres Analytics

Feb 19, 2026 By Aiven In Aiven

Welcome to Elephant in the Room – presented by Aiven, the live series where we explore the real-world challenges developers face when working with PostgreSQL, the database that everyone depends on but few fully leverage. In Episode 2, Jay Miller, Staff Product Advocate at Aiven, is joined by Alexis Roberson, Senior Developer Educator and feature flag enthusiast, to break down how feature flags help teams ship faster, reduce risk and improve user experiences in PostgreSQL-backed applications.

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AI Merge Conflict Resolution + Commit Messages in GitKraken Desktop

Feb 19, 2026 By GitKraken In GitKraken

AI-assisted merge conflict resolution is changing how developers handle Git workflows. Watch GitKraken Ambassador Kevin Bost demonstrate AI-powered features that eliminate merge conflict dread, clean up messy commit history, and generate contextual commit messages in seconds.

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