AI tip: Don’t start with the model—start with the failure mode. Define what “wrong” looks like, build a small eval set, then iterate on prompts, retrieval, or fine-tuning. Good evaluation beats prompt guesswork. #AI#MachineLearning
Before adding a SQL index, check the question it must answer: which columns appear in WHERE, JOIN, and ORDER BY? Indexes speed reads but add write and storage cost. Design for real queries, then verify with the execution plan. #SQL#Data
SQL tip: if a query is slow, do not guess—start with EXPLAIN (or the execution plan). Look for full table scans, unexpected row counts, and expensive sorts. Measure first; optimise the bottleneck, not your assumptions. #SQL#Data
Clean code tip: keep functions tiny and names boringly clear. If you need a comment to explain what a function does, the function probably does too much. Simple code is easier to test, debug, and ship. #Coding#Tech
A simple backend habit that prevents painful debugging: log the request ID at the edge, then carry it through every service call. One ID turns a distributed failure into a traceable story. #Coding#Backend
A useful Sunday reset for developers: pick one small piece of code you wrote this week and make it clearer—not cleverer. Rename one thing, remove one surprise, add one test. Tiny improvements compound. #Coding#Tech
The best backend code is often the code nobody notices: clear contracts, useful logs, fast failure, and boring deployments. ‘Boring’ is a feature. What’s one engineering habit that made your systems calmer? #Tech#Coding
A good developer can explain a complex system simply—and still know which details must not be simplified. Clarity is a technical skill, not just a communication skill. #Tech#Coding
The best developer tool is still a small feedback loop: ship a thin slice, observe it in reality, then improve the part users actually touch. Less speculation, more signal. #Tech#Coding
A strong tech portfolio shows impact, not just tools: explain the problem, your trade-offs, and the measurable result. One clear case study beats ten copied tutorials. #TechCareers#Coding
If your app accepts file uploads, validate more than the extension: inspect the content, cap size, store outside the web root, rename it, and scan asynchronously. Uploads are an attack surface, not a form field. #Cybersecurity#Coding
Security tip: treat every login as a fresh risk. Use phishing-resistant MFA, keep recovery codes offline, and review active sessions monthly. Small habits close the gaps attackers rely on. #Cybersecurity#Tech
AI systems are easier to trust when they can say “I don’t know”. Add an abstain path: define the evidence required, return uncertainty when it is missing, and log those cases for review. Reliability beats confident nonsense. #AI#Data
AI tip: treat prompts like code. Define the goal, provide constraints, show one good example, then test the output against a clear acceptance check. Better inputs make more reliable systems. #AI#Tech
Before tuning a slow SQL query, measure it: capture the execution plan, check rows estimated vs. actual, then fix the biggest cost first. “Add an index” is a hypothesis—not a diagnosis. #SQL#Data
SQL tip: NULL is not zero—and it is not an empty string. Use IS NULL/IS NOT NULL, and test your filters with missing values. A single three-valued-logic bug can quietly distort a report. #SQL#Data
C# tip: make cancellation a first-class input in async code. Pass CancellationToken through the call chain, honour it at I/O boundaries, and avoid turning a timed-out request into work that keeps running. #CSharp#Coding