Developer Tools
39 new this weekTools developers use every day: AI coding assistants, code search, backend platforms, testing, and the security built into them.




+1520 companies · 70 storiesIf you're weighing up technology for your organisation, start with the category. Each hub shows what changed recently, which companies are most active, what practitioners are asking and how to build a shortlist.
There are 16 hubs, with 304 new stories this week. They're ordered by activity (what people are reading, following and discussing), not by size or importance. Hubs marked “Evaluation guide available” also have a written guide to criteria, trade-offs and red flags.
Tools developers use every day: AI coding assistants, code search, backend platforms, testing, and the security built into them.




+1520 companies · 70 storiesKubernetes distributions, cluster management, networking and security, and the migration paths from virtual machines to containers.



Threat research, identity, network and cloud security, and the new attack surface created by AI tools and agents.




+1520 companies · 75 storiesInternal developer platforms, infrastructure as code, CI/CD and release tooling that let teams ship faster with guardrails.




+1520 companies · 75 storiesPublic, sovereign and private cloud compute, storage and platform services, plus pricing, regions and the providers behind them.




+1520 companies · 55 storiesLogs, metrics, traces and synthetic monitoring, plus the shift to OpenTelemetry, cost-aware telemetry and AI-assisted incident response.




+1520 companies · 65 storiesOperational, distributed, time-series and vector databases, and how they are adapting to AI workloads, multi-tenancy and always-on applications.




+1520 companies · 50 storiesSoftware that plans and acts on its own: agent frameworks, orchestration, tool protocols such as MCP and A2A, and the identity and guardrails that keep agents safe in production.




+1520 companies · 35 storiesWarehouses, lakehouses, streaming and BI tools that turn operational data into decisions, increasingly with AI analysts and real-time pipelines.




+1520 companies · 40 storiesCRM, ERP and business applications, and how AI agents and low-code tools are changing the way they are built and used.




+1520 companies · 31 storiesRunning workloads across on-premises, edge and multiple clouds: hybrid platforms, virtualisation choices, VMware alternatives and consumption-based infrastructure.



+1520 companies · 35 storiesEnterprise storage platforms, backup, recovery and ransomware resilience, and governed data access for AI.



+1520 companies · 25 storiesPlatforms for building, training, governing and serving machine-learning and generative AI models, from model hosting and MLOps to AI governance and sovereign deployment.




+1520 companies · 25 storiesGPUs, AI accelerators, inference hardware and high-performance computing: the chips, systems and capital behind AI at scale.



+1520 companies · 30 storiesEnterprise networks, SASE and SD-WAN, campus and data-centre networking, and the AI-driven operations reshaping them.




+1520 companies · 25 storiesConnected devices, industrial IoT and edge computing: hardware, connectivity and software that run outside the data centre.



+1520 companies · 10 stories