Pains

A production application was terminated primarily due to persistent MSAL issues affecting Single Sign-On, login flows, and token validation. The application was otherwise stable, but constant MSAL-related failures caused repeated client dissatisfaction and made it impossible to maintain service quality.

MSAL's interactive authentication and client secret flows create opportunities for credential leakage, particularly when credentials are retrieved and stored in application state. Even certificate-based authentication alternatives carry similar risks of credential exposure.

Azure AD (Entra ID) experiences frequent outages, which critically impacts all Azure and Office 365 services that depend on it. This is treated as an acceptable risk despite the widespread impact.

Azure's internal codebase has accumulated such severe technical debt that bug fixes are rejected because they risk breaking entire systems, preventing engineers from refactoring or improving code quality.

Critical security vulnerabilities like React2Shell (CVE-2025-55182, CVSS 10.0) in Next.js RSC serialization revealed that full-stack JavaScript and TypeScript lack secure serialization models. These runtime CVEs forced developers to reassess security assumptions in TypeScript/React stacks.

LangChain exhibits difficult-to-predict behavior with undocumented or poorly explained default settings and intricacies. Developers report erratic behavior such as ConversationRetrievalChain unexpectedly rephrasing input questions, leading to unstable production environments and costly downtime.

Full tool schemas load into context on every request with no lazy loading, selective injection, or summarization. This causes context window exhaustion before meaningful work begins, with confirmed instances ranging from 45K tokens for a single tool to 1.17M tokens in production deployments.

Next.js API routes are vulnerable to injection attacks (SQL, NoSQL, command injection), rate limiting bypass, information disclosure through error messages, and missing input validation.

User accounts have been suspended without warning within minutes of deployment with vague 'fair use violation' emails. Appeals go unanswered for weeks, resulting in lost access to production sites with no recourse or clear explanation.

Silent data errors (SDEs) in GPUs propagate through calculations without triggering detection mechanisms, potentially compromising results in critical applications. These errors stem from timing violations, thermal stress, electromigration, and voltage fluctuations on modern silicon.

XSS attacks can occur in Next.js through improper use of dangerouslySetInnerHTML, unvalidated user input in dynamic content, third-party scripts, and server-side rendering of malicious content.

GPU infrastructure planned for 6-8 kW per node discovers actual power demands of 10-12 kW when enabling higher TDP profiles in production, requiring physical infrastructure renegotiation and topology redesign.

Deploying containers with insecure settings (root user, 'latest' image tags, disabled security contexts, overly broad RBAC roles) persists because Kubernetes doesn't enforce strict security defaults. This exposes clusters to container escape, privilege escalation, and unauthorized production changes.

On February 5, 2025, ChatGPT's memory system silently broke, causing users to lose years of accumulated context, forgotten names, timelines, and entire creative projects. Some users lost files and context without warning or ability to recover data.

Persistent security vulnerabilities exist in OpenAI's platform, with documented instances of account hijacking and authentication exposure. Developers lack clear security protocols and data privacy safeguards.

Google removed free tier access to Gemini 2.5-Pro entirely and slashed Gemini 2.5-Flash daily limits by 92% (250 to 20 requests) with no advance notice, email alerts, or grace period. Production applications broke overnight with 429 quota exceeded errors.

GitHub Actions has no lockfile system to pin exact versions of third-party actions. Every workflow run re-resolves dependencies from the manifest without recording what was actually chosen, creating non-deterministic builds and enabling supply chain attacks. This is a fundamental gap compared to mature package managers.

APIs frequently validate only that a token is present rather than performing full server-side validation of signature, issuer, audience, expiry, and required scopes, leaving the system vulnerable to forged or expired tokens.

AWS IAM's core design prioritizes deterministic permission evaluation over security usability, resulting in a system where CRUD-style permissions cannot be implemented auditably. The architecture uses low-level API action lists with boolean logic complexity ('deny sandwich'), strict character limits forcing wildcard usage, and unpredictable new actions added without warning, making it impossible to implement basic security expectations.

Popular npm libraries like Faker.js and Colors.js have had their source code corrupted by maintainers, causing widespread build failures across millions of dependent projects. When heavily-used small modules maintained by 1-2 people break, the impact cascades globally.

95% of generative AI business projects fail in production. This systemic failure rate reflects fundamental challenges in building AI agents that remain relevant, adaptable, and trustworthy over time.

AI agents behave differently for the same exact input, making repeatability nearly impossible. This non-deterministic behavior is a core reliability issue that prevents developers from confidently shipping features or trusting agents to run autonomously in production.

Next.js exhibits slow page rendering performance in production: basic pages take 200-400ms, large dynamic pages exceed 700ms, and crawlers hitting multiple pages simultaneously cause site crashes. Caching is unpredictable across replicas.

55% of PHP teams are still running at least one EOL version, with 70% of those lacking security confidence. Deprecated versions like PHP 7.1 (44% of WordPress sites) present genuine security risks and are frequent targets for hackers.