Operations | Monitoring | ITSM | DevOps | Cloud

Claim SR&ED Using AI: The Complete Workflow From Project Planning to Tax Filing

For many entrepreneurs, tax credits are treated as something to think about after the work is done. That can be an expensive habit. If your company spends time developing new technology, improving products, testing new processes, or solving technical problems, some of that work may qualify for Canada's Scientific Research and Experimental Development (SR&ED) program. But there is a catch: by the time tax season arrives, the details that could support a strong claim may be buried in project notes, emails, proposals, spreadsheets, and someone's memory.

Best news APIs in 2026: 6 platforms compared for coverage, enrichment, and cost

Content teams and AI builders no longer treat "news API" as one category. Some products need a raw headline feed for a dashboard; others need clustered, entity-tagged articles that slot straight into a retrieval pipeline without building a separate NLP layer on top. This list compares six providers worth testing in 2026: Newscatcher API, NewsAPI.org, GNews, Mediastack, NewsData.io, and Webz.io, judged on source coverage, enrichment, real production pricing, and how far the free tier actually goes.

How to Make Your Trade Show Booth Work Harder for Your Marketing Strategy

A trade show booth is more than a physical space on the exhibition floor. It is an opportunity for a company to attract attention, communicate its value, interact with potential customers, and support broader marketing goals. However, simply having an attractive booth does not guarantee results. The display needs to work as part of the overall marketing strategy, from attracting visitors to communicating the right message and encouraging meaningful conversations.
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Flamegraphs Find It. Replay Proves It.

I made an API endpoint 13 times faster. Then I realized my first verification only checked the status, headers, and response schema. I had not checked the totals. I had made the bug faster. That is the problem with giving an AI coding agent one kind of evidence. A CPU profile can show where the application is slow, but not whether an optimization preserves behavior. A traffic replay can prove that behavior stayed stable, but not explain why the code burns CPU. This walkthrough gives the agent two independent witnesses: Together, they turn AI code verification into an experiment with two independent checks.

Monitor outages with StatusGator MCP and Claude

When a service your organization depends on stops working, you need to know whether the problem is internal or caused by a third-party provider. Connecting StatusGator to Claude gives you a faster way to find out. You can ask Claude what is down, investigate provider incidents, review affected components, and analyze historical uptime using data from your StatusGator account.

How to build a resilient incident management workflow using ilert

Your payment API suddenly returns 503 errors. Within seconds, your infrastructure monitors, application checks, and dependency monitors begin generating their own alerts. And while the dashboards keep flashing, the clock is still running. Your customers are waiting, internal teams are asking for updates, and engineers are trying to separate the real problem from the noise before the situation gets worse.

The Pod Was Cheaper. The Service Wasn't.

A smaller Kubernetes pod can lower allocation cost while completing less work. Green status codes and matching schemas can hide it. This walkthrough combines OpenCost allocation data with proxymock behavior and performance evidence. A candidate passes only when behavior and throughput hold while unit cost falls.

Platform engineering is not just a developer trend, but a practice ITOps should be paying attention to

Riya has managed IT operations at a mid-sized FinTech company for six years. She knows the infrastructure inside out: Every server, monitoring alert, and compliance requirement is owned by her team. So when Riya heard the engineering lead mention their new internal developer platform in a quarterly review, she assumed her team would be looped in eventually. This did not happen. Three months later, Riya's team was called in to investigate an outage.

Diagnose Serial N+1 API Calls With Tempo + proxymock

One API request took 302 milliseconds. Nothing failed. CPU was mostly idle. The response was correct. The trace made the problem obvious: eight inventory calls, each waiting for the previous one. But the trace could not tell me why the application made eight calls, or whether changing their execution would preserve the response. It showed the shape of the wait, not the input that created it.