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Slack’s AI search now works across an organization’s entire knowledge base Slack is introducing a number of new AI-powered tools to make team collaboration easier and more intuitive. “Today, 60% of organizations are using generative AI. But most still fall short of its productivity promise. We’re changing that by putting AI where work already happens — in your messages, your docs, your search — all designed to be intuitive, secure, and built for the way teams actually work,” Slack wrote in a  blog post . The new enterprise search capability will enable users to search not just in Slack, but any app that is connected to Slack. It can search across systems of record like Salesforce or Confluence, file repositories like Google Drive or OneDrive, developer tools like GitHub or Jira, and project management tools like Asana. “Enterprise search is about turning fragmented information into actionable insights, helping you make quicker, more informed decisions, without leaving Sla...

As AI becomes more ingrained within the software development life cycle, tech leaders making hiring decisions are saying AI and machine learning are becoming non-negotiable skills. 71% of respondents to a new study from Infragistics say that they won’t hire developers without those skills. The 2025 App Development Trends Report , conducted in partnership with Dynata, features insights from over 300 U.S. tech leaders surveyed between December 2024 and January 2025.  Thirty percent of respondents said that one of their top challenges this year is recruiting qualified developers. In addition to hiring for AI skills, 53% of leaders are also looking for cloud computing skills, 35% are looking for problem solving skills, and 35% are looking for developers who use secure coding practices. “AI is rapidly transforming how businesses develop applications–from streamlining workflows to mitigating security risks—but the technology alone isn’t powerful without a skilled team behind it,” sai...

Slack is introducing a number of new AI-powered tools to make team collaboration easier and more intuitive. “Today, 60% of organizations are using generative AI. But most still fall short of its productivity promise. We’re changing that by putting AI where work already happens — in your messages, your docs, your search — all designed to be intuitive, secure, and built for the way teams actually work,” Slack wrote in a blog post .  The new enterprise search capability will enable users to search not just in Slack, but any app that is connected to Slack. It can search across systems of record like Salesforce or Confluence, file repositories like Google Drive or OneDrive, developer tools like GitHub or Jira, and project management tools like Asana.  “Enterprise search is about turning fragmented information into actionable insights, helping you make quicker, more informed decisions, without leaving Slack,” the company explained. The platform is also getting AI-generated cha...

DevOps tooling has become mission-critical. What used to be a niche engineering function is now a core business driver. And with the DevOps automation market projected to hit $72.81 billion by 2032 , your choice of tools can literally make or break your product velocity. Whether you’re a CTO at a scale-up, a DevOps engineer in the trenches, or a founder juggling release chaos, choosing the right automation tools is no longer optional, it’s strategic. After diving deep into what’s working across the industry, here’s a fresh, no-fluff look at the top DevOps automation tools actually making a difference in 2025. Data-driven, real-world examples, and yes, links included. Why It Matters More Than Ever DevOps isn’t just a buzzword anymore it’s the backbone of modern software delivery. If you’re looking to implement or optimize your pipeline, check out our DevOps services to get started the right way. 85% of organizations are using DevOps practices 49% say it helps them ship faster ...

Anthropic has announced the launch of a new analytics dashboard in Claude Code to give development teams insights into how they are using the tool.  It tracks metrics such as lines of code accepted, suggestion acceptance rate, total user activity over time, total spend over time, average daily spend for each user, and average daily lines of code accepted for each user. These metrics can help organizations understand developer satisfaction with Claude Code suggestions, track code generation effectiveness, and identify opportunities for process improvements.  According to Anthropic, by tracking these metrics, development teams will be able to better assess the ROI of AI and see where they are getting the most value.  The company says that an analytics dashboard was one of the most requested features from its enterprise customers, and that it marks another step in the company’s mission to enable engineering teams to adapt their AI practices as things evolve.  The...

JetBrains announces updates to its coding agent Junie Junie is now fully integrated into GitHub, enabling asynchronous development with features such as the ability to delegate multiple tasks simultaneously, the ability to make quick fixes without opening the IDE, team collaboration directly in GitHub, and seamless switching between the IDE and GitHub. Junie on GitHub is currently in an early access program and only supports JVM and PHP.  JetBrains also added support for MCP to enable Junie to connect to external sources. Other new features include 30% faster task completion speed and support for remote development on macOS and Linux. Gemini API gets first embedding model These types of models generate embeddings for words, phrases, sentences, and code, to provide context-aware results that are more accurate than keyword-based approaches. “They efficiently retrieve relevant information from knowledge bases, represented by embeddings, which are then passed as additional context ...

Any company planning to build a mobile app encounters a fundamental choice – what development method to choose? But unless you have extensive mobile development experience, choosing between native, hybrid, and cross-platform approaches, the most common ones nowadays, is a challenging task. This is because the approaches differ significantly in complexity and app development timelines and cost, so you should understand all these differences clearly to determine one that can better suit your project’s needs. What are native apps? Native mobile applications are compatible with one operating system, predominantly Android or iOS. Native apps only use programming languages supported by their respective target platforms, such as Kotlin/Java for Android and Swift/Objective-C for iOS. Pros Extensive access to hardware Native apps can deeply integrate with the device’s software and hardware, fully accessing all device functionalities (GPS, camera, storage, etc.), which helps ensure superb...

Kong has introduced the latest update to Kong AI Gateway , a solution for securing, governing, and controlling LLM consumption from popular third-party providers.  Kong AI Gateway 3.11 introduces a new plugin that reduces token costs, several new generative AI capabilities, and support for AWS Bedrock Guardrails.  The new prompt compression plugin that removes padding and redundant words or phrases. This approach preserves 80% of the intended semantic meaning of the prompt, but the removal of unnecessary words can lead to up to a 5x reduction in cost.  According to Kong, the prompt compression plugin complements other cost-saving measures, such as Semantic Caching to prevent redundant LLM calls and AI Rate Limiting to manage usage limits by application or team. This update also adds over 10 new generative AI capabilities, including batch execution of multiple LLM calls, audio transcription and translation, image generation, stateful assistants, and enhanced response ...

Twilio launches Event Triggered Journeys in Twilio Engage This new capability allows developers to incorporate personalized, scalable messaging into their applications by utilizing event data, user profile information, and context from the data warehouse, such as loyalty status or account details. According to Twilio, it can help with use cases like cart abandonment, ad suppression, onboarding flows, and trial-to-paid account journeys.  Twilio also redesigned the Journeys user interface and code base and added new integrations for SendGrid and Twilio Messaging to make multi-channel journey orchestration easier.  OutSystems launches Agent Workbench Agent Workbench, now in early access, allows companies to create agents that have enterprise-grade security and controls.  Agents can integrate with custom AI models or third-party ones like Azure OpenAI or AWS Bedrock. It contains a unified data fabric for connecting to enterprise data sources, including existing OutSyste...

Harness is expanding its Infrastructure as Code Management (IaCM) platform with two new features that should enable greater reusability. “During customer meetings one theme came up over and over again – the need to define infrastructure once and reuse it across the platform in a secure and consistent manner, at scale. Our latest expansion of Harness IaCM was built to solve exactly that,” Harness wrote in a blog post .  The first new feature is Module Registry, which allows users to create, share, and manage templates for infrastructure components, like virtual machines, databases, and networks.  It offers centralized storage, version management, granular access controls of who can access modules, integration into existing CI/CD workflows, and automatic syncing of modules to source repositories. The other new feature is Workspace Templates, allowing developers to predefine variables, configuration settings, and policies so that they can be reused as templates. Teams will b...

Amazon is releasing a new AI IDE to rival platforms like Cursor or Windsurf. Kiro is an agentic editor that utilizes spec-driven development to combine “the flow of vibe coding” with “the clarity of specs.” According to Amazon, developers use specs for planning and clarity, and they can benefit agents in the same way.   Specs in Kiro are artifacts that can be used whenever a feature needs to be thought through in-depth, to refactor work that requires upfront planning, or in situations when a developer wants to understand the behavior of a system.  Kiro also features hooks, which the company describes as event-driven automations that trigger an agent to execute a task in the background. According to Amazon, Kiro hooks are sort of like an experienced developer catching the things you’ve missed or completing boilerplate tasks as you work.  The basic workflow of building with Kiro specs and hooks consists of four steps. First, Kiro unpacks requirements from a singl...

Akka, a company that provides solutions for building distributed applications, is introducing a new platform for scaling AI agents across distributed systems.  “Agentic systems are forcing IT leaders to rethink their technology stack,” said Tyler Jewell, CEO of Akka. “IT systems must adapt from controlling predefined workflows to managing intelligent, adaptive systems operating in open-ended environments that include non-deterministic LLMs. Scaling these systems and providing dependable outputs is a tremendous challenge and redefines the meaning of an SLA. Akka is unique in that we’re bringing IT the tools to solve this issue at enterprise scale, with enterprise confidence.” Akka Agentic Platform consists of four integrated offerings: Akka Orchestration, Akka Agents, Akka Memory, and Akka Streaming.  Akka Orchestration allows developers to guide, moderate, and control multi-agent systems. It offers fault-tolerant execution, enabling agents to reliably complete their tasks ...

Earlier this week, JFrog disclosed CVE-2025-6514 , a critical vulnerability in the mcp-remote project that could allow an attacker to “trigger arbitrary OS command execution on the machine running mcp-remote when it initiates a connection to an untrusted MCP server.”  Mcp-remote is a project that allows LLM hosts to communicate with remote MCP servers, even if they only natively support communicating with local MCP servers, JFrog explained.  “While previously published research has demonstrated risks from MCP clients connecting to malicious MCP servers, this is the first time that full remote code execution is achieved in a real-world scenario on the client operating system when connecting to an untrusted remote MCP server,” Or Peles, vulnerability research team leader at JFrog, wrote in a blog post . Glen Maddern, mcp-remote’s primary maintainer, quickly fixed the vulnerability, so anyone using mcp-remote should update to 0.1.16.   According to Peles, the mo...

Gemini API gets Batch Mode Batch Mode allows large jobs to be submitted through the Gemini API. Results are returned within 24 hours, and the delayed processing offers benefits like a 50% reduction in cost and higher rate limits.  “Batch Mode is the perfect tool for any task where you have your data ready upfront and don’t need an immediate response,” Google wrote in a blog post. AWS announces new features in SageMaker AI SageMaker HyperPod—which allows scaling of genAI model development across thousands of accelerators—was updated with a new CLI and SDK. It also received a new observability dashboard that shows performance metrics, resource utilization, and cluster health, as well as the ability to deploy open-weight models from Amazon SageMaker JumpStart on SageMaker HyperPod.  New remote connections were also added to SageMaker AI to allow it to be connected to from a local VS Code instance.  Finally, SageMaker AI now has access to fully managed MLFlow 3.0, wh...

I’ve been on-call during outages that ruined weekends, sat through postmortems that felt like therapy, and seen cases where a single log line would have saved six hours of debugging. These experiences are not edge cases; they’re the norm in modern production systems. We’ve come a long way since Google’s Site Reliability Engineering book reframed uptime as an engineering discipline. Error budgets, observability, and automation have made building and running software far more sane. But here’s the uncomfortable truth: Most production systems are still fundamentally reactive . We detect after the fact. We respond too slowly. We scatter context across tools and people. We’re overdue for a shift. Production systems should: Tell us when something’s wrong Explain it Learn from it And help us fix it. The next era of reliability engineering is what I call “Vibe Loop.” It’s a tight, AI-native feedback cycle of writing code, observing it in production, learning from it, and improv...