Your First MRR Dip: Diagnose Churn, Fix the System
A first MRR dip is rarely a glitch. It is usually flat acquisition plus rising churn catching up. This article shows how to diagnose the break (channel to expansion) and run focused experiments instead of panic shipping.
- Category: Business
- Reading Time: 16 min
- Published On: Feb 2, 2026
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SaaS Product Management in the AI Era: Good practices 2026
A 2026 playbook for SaaS product managers building in an AI-heavy landscape. Focuses on discovery, measurable outcomes, delivery flow, and risk controls that hold up in production.
- Category: Process
- Reading Time: 12 min
- Published On: Feb 2, 2026
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QA for AI Products: Testing Models, Prompts, and Drift
QA changes when your product includes an LLM or ML model. This article shows how to test AI behavior with datasets, judges, automation, and drift monitoring - without pretending outputs are deterministic.
- Category: QA
- Reading Time: 13 min
- Published On: Feb 2, 2026
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QA for AI Products: What to Test When Logic Learns
AI changes what “quality” means. You still test the app, but you also test data, prompts, models, and outcomes. This article shows practical QA patterns, metrics, and CI checks that work for AI features.
- Category: QA
- Reading Time: 12 min
- Published On: Feb 2, 2026
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QA in the AI Era: Testing Systems That Can Change Daily
AI features break familiar QA assumptions: outputs vary, models drift, and bugs look like “bad answers.” This article shows how we test AI systems in delivery work, with concrete checks, tooling, and automation patterns.
- Category: QA
- Reading Time: 14 min
- Published On: Feb 2, 2026
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AI-Assisted Development in 2026: What Holds Up in Prod
AI help is now part of daily engineering work, but it still breaks in predictable ways. This article covers practical workflows, guardrails, and tool patterns that hold up in production in 2026.
- Category: Technology
- Reading Time: 14 min
- Published On: Feb 2, 2026
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AI Coding Tools: From Early Adopters to Early Majority
AI coding tools work well for some developers and fall apart in shared codebases without guardrails. This article explains how to move from experiments to team-wide adoption with measurable quality and delivery outcomes.
- Category: Technology
- Reading Time: 11 min
- Published On: Feb 2, 2026
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AI Coding Without the Drama: A Guide for Both Camps
AI coding tools can speed up routine work, but they also create new failure modes. This article shows what actually works in day-to-day delivery, and how to set guardrails that keep quality and security intact.
- Category: Technology
- Reading Time: 11 min
- Published On: Feb 2, 2026
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AI Coding Assistants and the Chasm: Debt, Trust, and Proof
AI coding assistants can speed up delivery, but they also amplify security and maintenance risks. This article maps what it takes to move from early adopters to the early majority: proof, controls, and repeatable guardrails.
- Category: Technology
- Reading Time: 13 min
- Published On: Feb 2, 2026
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SaaS Security Essentials: Protecting Your Cloud Application
SaaS security is a chain of small controls that fail in predictable ways. This guide covers the essentials: identity, secrets, data protection, app hardening, monitoring, and incident response with practical implementation details.
- Category: Technology
- Reading Time: 15 min
- Published On: Feb 2, 2026
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Integrating AI into SaaS: A Technical Deep-Dive
Integrating AI into SaaS is mostly systems work: data pipelines, evaluation, latency budgets, and guardrails. This deep-dive covers architectures, model choices, tooling, and what breaks in production.
- Category: Technology
- Reading Time: 15 min
- Published On: Feb 2, 2026
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Building Flexible SaaS: Tools and Good practices That Hold Up
Flexible SaaS is mostly about disciplined boundaries: tenancy, data, deployments, and observability. This guide breaks down the tools and practices we use to keep growth from turning into outages and runaway costs.
- Category: Technology
- Reading Time: 14 min
- Published On: Feb 2, 2026
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