Product-market fit sounds abstract until you miss it. Harvard Business Review reports that 34% of startups fail because they never truly achieve product-market fit. That number isn’t about bad engineering. It’s usually about building something that works technically but doesn’t resonate with real users in real conditions. UI/UX design services exist to reduce that risk. Not by guessing. Not by polishing visuals. But by testing whether the product solves a problem people actually care about. Companies like Fuselab Creative approach product-market fit as a validation process, not a milestone you declare when growth starts. Product-Market Fit Is Behavioral, Not Declarative…
Author: drweb
Embedded software development has traditionally followed a different rhythm than mainstream software engineering. Hardware availability drives schedules. Validation cycles are longer. Releases are deliberate. Documentation is extensive. For good reason, embedded systems often operate in safety-critical or highly regulated environments. However, expectations around software delivery have shifted. Connected products, over-the-air updates, security mandates and shorter market windows are creating new pressures for embedded teams. The result? Many organizations are exploring how DevOps principles can be applied — thoughtfully — to embedded environments. Why Embedded Teams are Revisiting Their Delivery Model Across industries such as automotive, medical devices, aerospace and industrial controls, a consistent pattern is emerging: Integration happens…
Python developers have never been more in demand. The language dominates data science, machine learning, automation, and backend development. But here is something that trips up a lot of otherwise talented developers when they start looking for senior roles or interviewing at companies that run production workloads: they can write elegant code but cannot explain the infrastructure it runs on. Ask a Python developer to build a data pipeline, and they will hand you clean, well-documented code. Ask them to explain the difference between IaaS, PaaS, and SaaS, or to describe how Azure Functions differ from an Azure Virtual Machine,…
Releases Welcome to PhpStorm 2026.1! This release brings new PhpStorm MCP tools, new third-party agents inside your IDE, support for Git worktrees, and lots of other productivity-enhancing features for PHP and Laravel developers. Download PhpStorm 2026.1 PhpStorm MCP tools In PhpStorm 2025.2, we added an integrated MCP server for third-party coding agents like Claude Code, Windsurf, or Codex to access and use your IDE’s tools. In 2026.1, we are extending the MCP server toolset with more PhpStorm features, including: Inspections and quick-fixes that enable agents to leverage PhpStorm’s powerful static analysis engine. IDE search capabilities, including PhpStorm’s structural search and…
Exponential growth in the adoption of digital businesses has compelled company leaders to look for new ways of developing and operating software. Tech stacks have become crazier than they’ve ever been, with multi-cloud environments, increasing AI-workload sizes and more constraints than ever to adhere to. By 2024, 89% of organizations had adopted a multi-cloud strategy, and 73% had adopted a hybrid cloud strategy. At the same time, boards are increasingly demanding tangible return on investment (ROI) on their technology investments. This has led to the adoption of DevOps platforms and internal developer platforms (IDPs). These platforms provide a shared space…
There was a time when compliance meant a quarterly ritual. Someone from security would walk over with a spreadsheet, ask a few questions, tick a few boxes and disappear until the next audit cycle. The infrastructure team would scramble to prove that yes, encryption was enabled, and no, that S3 bucket was not public anymore. Everyone felt relieved, went back to shipping features and quietly hoped nothing would drift before the next review. That model is dead; it just hasn’t been buried yet. The problem is not that teams lack security awareness. Most engineering organizations today understand that vulnerabilities need catching early and that production environments need hardening. The problem is that compliance has historically lived…
Akuity this week at the KubeCon + CloudNativeCon Europe conference revealed it has added an ability to customize the steps used to promote applications into a production environment using a Kargo orchestration engine it developed to manage software using a GitOps workflow. Company CEO Hong Wang said the Custom Steps capability added to Kargo will enable software engineering teams to define any promotion logic as a native step in a pipeline, including, for example, running a policy check or security scan. The overall goal is to eliminate the need to create custom scripts or rely on manual processes to extend…
The supply chain attack that compromised Aqua Security’s Trivy open source security vulnerability scanner and its associated GitHub Actions earlier this month continues to expand, with software development tools from Checkmarx and LiteLLM being the latest victims of the sophisticated campaign. The threat group behind it, TeamPCP, is using the attacks to create persistence and to steal credentials and sensitive digital keys from organizations. “The TeamPCP stealer’s primary function is harvesting credentials from CI runner memory,” Sysdig threat researchers wrote. “When a compromised Trivy action executes in a workflow, it extracts GitHub personal access tokens (PATs) and other secrets from…
The pitch is irresistible. An AI agent that investigates your 2 a.m. production incident, correlates signals across dozens of services, cross-references your runbooks and hands you a root-cause analysis before your on-call engineer has finished rubbing their eyes. This is the promise of AI reliability engineering (AIRE), and in 2025, a wave of startups and incumbents are racing to deliver it. What the pitch decks don’t show you is the gap between buying the tool and actually benefiting from it. Most organizations are not ready, and the ones that are discovering this the hard way are doing so at the worst possible time: In the middle of an outage. The AIRE Landscape is Moving…
DevOps has changed fast in the last decade. Scripts became pipelines. Pipelines became platforms. Now, AI agents in DevOps automation are leading the next wave. Today’s cloud systems are complex. Teams manage containers, microservices and hybrid clouds. Manual work slows them down. Traditional automation also struggles with scale. That is why AI agents in DevOps automation are gaining attention. Many organizations now partner with an experienced AI development company to design intelligent systems that support automation at scale. These systems help teams reduce manual effort while improving accuracy. These agents do more than follow rules. They observe systems, learn from data and act on their own. Many teams…