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Joined May 2023
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A client bragged that their new tool reviews every pull request on its own.
I asked who reviews the reviewer.
Silence. Then: "isn't that the whole point of AI?"
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No. AI review catches the obvious stuff. It also green-lights confident nonsense.
GitHub added controls this week for that exact reason. Set the guardrails. Keep a human on the risky files.
Here: github.blog/changelog/2026-0…
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A client asked why I won't auto-approve their bot's pull requests.
"It just runs the tests, Mike."
Those tests run on GitHub's servers. With access to the same secrets that deploy your site.
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GitHub now allows exactly this with one click. Handy until the day a bad PR runs with your keys.
I approve bot runs by hand. Every time. Thirty seconds beats a breach.
Read it: github.blog/changelog/2026-0…
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Inherited a client repo last month that "a senior dev" built.
It ran. It looked clean.
Then I read it. Half of it was AI output nobody had checked. Names that meant nothing. Logic that worked by accident.
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A new tool would've flagged it in seconds. It scores how much of a repo is AI-written.
I don't care that AI helped. I care that someone understood what shipped.
Run it on your codebase: slopscan.ava.pet/
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CMD CNTR | Web Engineer Experts retweeted
14h
75 places to get backlinks for startup:
1. Chrome Web Store (DR 99)
2. Forbes (DR 94)
3. GitHub Pages (DR 97)
4. TrustRadius (DR 84)
5. AlternativeTo (DR 79)
6. SourceForge (DR 92)
7. Gumroad (DR 92)
8. Substack (DR 93)
9. Indie Page (DR 67)
10. Privacy Tools (DR 79)
11. OSS Gallery (DR 29)
12. Yelp (DR 94)
13. Alternative Me (DR 74)
14. SaaSHub (DR 78)
15. HubPages (DR 87)
16. YourStory (DR 85)
17. Medium (DR 94)
18. TrustMRR (DR 66)
19. Crunchbase (DR 99)
20. SEO Wins (DR 27)
21. GitHub (DR 97)
22. Imgur (DR 99)
23. Pinterest (DR 96)
24. Flickr (DR 94)
25. Pixabay (DR 92)
26. Pexels (DR 92)
27. Reddit (DR 95)
28. Quora (DR 92)
29. Goodreads (DR 92)
30. Tiny Startups (DR 50)
31. Hackernoon (DR 87)
32. TinyLaunch (DR 71)
33. Hacker News (DR 91)
34. Foundr (DR 76)
35. The Hustle (DR 79)
36. GrowthMentor (DR 72)
37. DZone (DR 84)
38. Smashing Magazine (DR 90)
39. Product Hunt (DR 91)
40. BetaList (DR 75)
41. MakerPad (DR 67)
42. StackShare (DR 79)
43. PeerSpot (DR 73)
44. Toolify AI (DR 73)
45. WIP (DR 55)
46. Vocal Media (DR 82)
47. TechCrunch (DR 92)
48. VentureBeat (DR 90)
49. Starter Story (DR 85)
50. Niche Pursuits (DR 73)
51. Founder Reports (DR 57)
52. Milestones (DR 26)
53. Boring Cash Cow (DR 26)
54. Micro Founder (DR 36)
55. Failory (DR 74)
56. Revenue Memo (DR 37)
57. Latka (DR 72)
58. Builder Society (DR 39)
59. Indie Niche (DR 93)
60. Indie Hackers (DR 80)
61. Fandom (DR 92)
62. Hashnode (DR 83)
63. Mixergy (DR 75)
64. First Round Review (DR 81)
65. Blogger (DR 94)
66. AppSumo Blog (DR 83)
67. WikiHow (DR 91)
68. DevTo (DR 90)
69. SaaStr (DR 77)
70. FounderPass (DR 52)
71. Entrepreneur (DR 91)
72. Indie Bites (DR 34)
73. SaaS Club (DR 59)
74. My First Million (DR 62)
75. Wikipedia (DR 97)
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CMD CNTR | Web Engineer Experts retweeted
Jun 13
R.I.P. Fable 5.
Perplexity Reddit Opus 4.8 = AI SDR that still booked a $20B hedge fund.
(38% reply rate. 30 qualified meetings a month. 0 SDRs hired.)
This system reads 1,000 companies every morning and only writes to the ones already in buying motion...
→ No more $200K/year SDR payroll for manual account research
→ No more 10,000 cold emails for a 1% reply
→ No more bought lists going stale in weeks
→ No more guessing who's actually ready to buy
→ No more openers that read like templates
Just 1 morning run → the 30 accounts worth calling today.
I built it around one rule: never depend on a single model to run.
Opus 4.8, GPT 5.5, Mythos, Fable 5 — there will always be a new LLM.
Today the US government proved why. The system didn't notice.
Here's how it works:
→ ICP Intelligence (Perplexity does a month of buyer research in 15 minutes)
→ Account Radar (reads 1,000 companies every morning, keeps only the matches)
→ Buying Window (3 live triggers per account: a raise, a key hire, a launch)
→ Buyer Language (lifts your buyer's exact 5 phrases off Reddit, nothing reads like a template)
→ Voice Match (drafts a 3-line opener off that signal, in your voice)
→ Orchestration (Fable runs the whole pass and hands you the 30 to call today)
Built on real outbound infrastructure.
Model-agnostic. Runs every morning without supervision.
Government bans included.
Results from my own pipeline:
- Reply rate from 1% to 38%
- 30 qualified meetings a month, 0 SDRs hired
- A $20B hedge fund and a $15B fund booked
- $340K in new pipeline last quarter
Want the complete build?
Like comment "RECON" repost, and I'll DM it to you.
(must be following)
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A client's deploys just stopped one morning last year.
No error. No alert. Jobs sat queued for hours while their team waited.
The cause wasn't their code. It was a runner nobody had touched in 18 months.
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GitHub is about to make that the default.
Self-hosted runners under v2.329.0 stop running jobs. Brownouts June 29, full cutoff Sept 25.
I'm auditing every client's runners now, before their summer goes sideways.
github.blog/changelog/2026-0…
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A client asked me a fair question last month:
"When your team uses AI, where does our code actually go?"
For a lot of shops, the honest answer is: a server you don't control, under a policy you never read.
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So I moved sensitive work to a local agent. Runs on the Mac, nothing leaves the machine.
Setup is easier than people think. This guide walks the whole thing:
ikyle.me/blog/2026/how-to-se…
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Took over a client's site that let users upload video.
Worked fine for years. Nobody touched the media stack.
Then I looked at what was actually decoding those files.
An ancient FFmpeg build with a pile of open CVEs.
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Researchers just dropped 21 fresh zero-days in FFmpeg, the library quietly decoding files on millions of servers.
If you accept uploads, you run this. Check your version:
depthfirst.com/research/21-z…
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A client's dev wanted to install an AI "skill" to speed up their work.
I asked to see it first.
Buried in the setup: a command that read every env file and posted it to a server I'd never heard of.
That skill had 4,000 stars.
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Stars don't mean safe. Skills get shell access and your secrets.
NVIDIA's new scanner flags prompt injection, data exfiltration, and credential harvesting. Run it before you install anything:
github.com/NVIDIA/SkillSpect…
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CMD CNTR | Web Engineer Experts retweeted
Jun 12
DO YOU UNDERSTAND WHAT JUST HAPPENED?
Someone vibe-coded an “unblockable” video stream that is secretly 100% text.
No video tag. No media file. Zero chance for ad blockers or autoplay restrictions to catch it.
It delivers smooth 360p at 30fps—but every frame is nothing but colored text characters repainted live on a canvas. To the browser, this isn’t video at all. It’s pure JavaScript pushing text.
They call it Asciline.
Here’s the trick:
The server decodes the real video and streams it as binary-packed text over WebSockets. The browser then renders thousands of colored block characters per frame. It looks shockingly decent at 360p.
Ad blockers and autoplay killers have nothing to hook into, because there is no video element. And the bandwidth is tiny—just kilobytes—so it runs even on terrible connections.
And since it’s literally text, you can apply CSS glows, filters, and effects instantly. You can let users copy and paste a moving frame, or feed live frames straight into a local LLM.
One problem, though:
An unblockable video stream is also an unblockable ad.
The internet was never ready for this.
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CMD CNTR | Web Engineer Experts retweeted
Jun 11
66 DR DOFOLLOW backlink:
1. Go to Indie Page and register.
2. Fill out your personal "Maker" profile.
3. Now, add your startup and URL.
4. Save your page and get a link.
This way, you can get multiple links.
However, this is not free...
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A client upgraded WordPress on a Friday afternoon. No staging. No backup.
Their product photos stopped rendering across the whole store. On a weekend.
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7.1 reworks how media gets processed: AVIF, WebP, HEIC, JPEG XL.
Now I test every client's uploads on a staging copy before the update goes near production.
developer.wordpress.org/news…
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Your web guy should be testing the next version before you ever feel it.
If they're not, you're the staging environment.
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