20 articles tagged Github
Designing AI-Assisted Sales for Developer Tools
How to build an AI-assisted sales pipeline for developer tools: intent routing, code generation, handoff rules, failure modes, and what to instrument.
16 min read · 14 July 2026
AI Code Generation: Failure Modes and Guardrails
AI code assistants change interfaces, concurrency and state in ways that pass review. Here are the failure modes and the checks that catch them.
11 min read · 3 July 2026
Stop false positives in CI scanning now
Static ignore files rot as dependencies change. A triage layer between scanners and PR comments filters alerts using live context instead.
14 min read · 3 July 2026
AI agents killed dev tool sales cycles
How agent-driven evaluation changes integration design, onboarding, and pricing for developer tools, with concrete patterns and a 30-minute test.
10 min read · 2 July 2026
AI UI tools: promise vs. production
AI UI generators produce plausible React fast, but token drift, inline styles and missing a11y still need human review before merge.
11 min read · 30 June 2026
AI revives unloved legacy codebases
A practical stack for maintaining legacy code: static analysis, generated characterization tests, and LLM documentation, with failure modes and a 30-minute first step.
15 min read · 29 June 2026
Choosing an AI Pair Programming Setup: A Practical Guide
How to evaluate AI pair programming tools by latency, signal-to-noise, cost, and privacy, with configs, failure modes, and a decision checklist.
15 min read · 29 June 2026
Who owns AI-generated code?
AI can write code, but a human still signs off on behavior. Here is how to make code ownership explicit with prompts, tags, and a security gate.
10 min read · 27 June 2026
AI steals junior tasks: 3 skills that protect pay
AI coding tools make boilerplate cheap. Here is how to measure whether your time is shifting to validated product work or just faster scaffolding.
13 min read · 24 June 2026
CI/CD for AI code: test, secure, rollback fast
A CI/CD pattern for AI-assisted code changes: deterministic locks, prompt-injection checks, smoke tests, metrics gates, and blue-green rollback.
13 min read · 23 June 2026
Code AI won’t rewrite
How to use static analysis, a local LLM, and a structured prompt to map, test, and safely refactor legacy code without inventing risk.
12 min read · 18 June 2026
Rebalance pay when AI fills half your role
Measure AI's share of your codebase, then renegotiate scope, level, and pay with evidence instead of anecdotes or cost-of-living framing.
13 min read · 15 June 2026
PR checklists are dead: AI agents do reviews now
How to split PR review into narrow automated agents that run checks, propose fixes, and escalate only the edge cases to humans.
12 min read · 14 June 2026
Earning Developer Attention Without a Marketing Budget
How contribution-first marketing works for developer tools: micro-snippets, upstream docs, package managers, and how to measure each channel yourself.
11 min read · 13 June 2026
AI Static Analysis vs Rule-Based SAST: A Practical Comparison
How AI-assisted static analysis compares with rule-based SAST on scan latency, false negatives, cost, and ops, plus how to measure both on your own repos.
14 min read · 13 June 2026
Remote work in 2026: which tools still hold up
Design a remote engineering stack for high-latency, metered, outage-prone networks: self-hosted runners, async chat, retries, and observability.
11 min read · 13 June 2026
Turn AI coding telemetry into a salary negotiation case
Build a CLI that pulls AI coding-assistant session data, maps it to tickets, and produces defensible productivity numbers for pay talks.
12 min read · 11 June 2026
AI burnout: why output pressure rose even as tools got
Faster AI code generation shifts the bottleneck to review, QA and on-call. Here is how to instrument net time saved and stop review fatigue.
12 min read · 9 June 2026
AI code traps: Copilot vs Cursor smackdown
How to evaluate AI coding assistants on edge-case handling, latency, hardware and cost — with a decision checklist and a 30-minute first step.
12 min read · 9 June 2026
When CircleCI's Concurrency Model Beats GitHub Actions
How to compare GitHub Actions and CircleCI at high build volume: minutes, artifact storage, concurrency limits, queue time, and a 30-day pilot plan.
11 min read · 9 June 2026